# RocketRide > Your weekly orbit around everything RocketRide. Public Ghost content for AI and LLM tooling. This file includes a bounded export of public pages first, then recent public posts. Append `.md` to any post or page URL to get the content in Markdown (for example, `/example-post.md`). ## Pages ### About this site URL: https://news.rocketride.ai/about/ Last updated: 2026-07-13T21:42:18.000Z RocketRide is an independent publication launched in June 2026 by Joe Maionchi. If you subscribe today, you'll get full access to the website as well as email newsletters about new content when it's available. Your subscription makes this site possible, and allows RocketRide to continue to exist. Thank you! ### Access all areas By signing up, you'll get access to the full archive of everything that's been published before and everything that's still to come. Your very own private library. ### Fresh content, delivered Stay up to date with new content sent straight to your inbox! No more worrying about whether you missed something because of a pesky algorithm or news feed. ### Meet people like you Join a community of other subscribers who share the same interests. --- ### Start your own thing Enjoying the experience? Get started for free and set up your very own subscription business using [Ghost](https://ghost.org/?ref=news.rocketride.ai), the same platform that powers this website. ### RocketRide Partnership Request URL: https://news.rocketride.ai/partnership/ Last updated: 2026-08-18T23:39:44.000Z Partnerships ## Why partner with RocketRide RocketRide is where developers build and ship production AI: an MIT-licensed, IDE-native meta-harness with a community that actually ships. Our builders range from professional teams deploying AI at scale to solopreneurs generating real revenue in the RocketRide marketplace. Partners don’t get a logo on a slide. They get distribution, integration, and co-marketing with an audience that’s actively choosing its stack. → ### Integration into the meta-harness Your product in the hands of developers already building AI pipelines. In-context integration means adoption is natural and intent is high. → ### Live event access Your brand in front of builders where they actually show up. We partner with [Devnovate](https://devnovate.co/?ref=news.rocketride.ai) and a growing network of tech event producers. → ### Joint GTM and content Co-authored posts, newsletter features, podcast appearances, and social campaigns aimed at the same ICP: professional developers shipping production AI. → ### Community reach Our [Discord](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai), [OrbitBrief](https://news.rocketride.ai/) (our newsletter), and social following: an engaged developer base, not an ad audience. → ### Featured partner status Placement in docs, the README, and the partner page. Visibility inside a toolchain developers trust. → ### Roadmap input Strategic partners get a seat at the table on where the ecosystem goes next. **Sound like a fit?** Tell us what you have in mind below. Get in touch ## Partnership request Tell us who you are and what you have in mind. We read every one. Full Name \* Business Email \* Company \* Job Title What are you most interested in? \* Select one… Integration into the meta-harness Live event access Joint GTM and content Community reach Featured partner status Roadmap input Other Message By clicking submit, you agree to receive communications from RocketRide Inc. You can unsubscribe at any time. For more information, please review our [Privacy Policy](https://news.rocketride.ai/privacy-policy/). Submit Thanks — we’ve received your request and will be in touch shortly. [Privacy Policy](https://news.rocketride.ai/privacy-policy/) ### Privacy Policy URL: https://news.rocketride.ai/privacy-policy/ Last updated: 2026-07-14T00:49:17.000Z # Privacy Policy Effective Date: June 18, 2026 ## Contents 1. 01[Introduction](#1-introduction) 2. 02[Scope of This Policy — Account Data vs. Customer Content](#2-scope-of-this-policy-account-data-vs-customer-content) 3. 03[Information We Collect](#3-information-we-collect) 4. 04[How We Use Your Information](#4-how-we-use-your-information) 5. 05[AI Features and Model Training](#5-ai-features-and-model-training) 6. 06[How We Share Your Information](#6-how-we-share-your-information) 7. 07[International Data Transfers](#7-international-data-transfers) 8. 08[Data Retention](#8-data-retention) 9. 09[Data Security](#9-data-security) 10. 10[Your Privacy Rights](#10-your-privacy-rights) 11. 11[Cookies and Analytics](#11-cookies-and-analytics) 12. 12[Children’s Privacy](#12-children-s-privacy) 13. 13[Third-Party Links and Services](#13-third-party-links-and-services) 14. 14[Changes to This Policy](#14-changes-to-this-policy) 15. 15[Contact Us](#15-contact-us) ## 01Introduction Welcome to RocketRide. RocketRide Inc. (“RocketRide,” “we,” “our,” or “us”) operates a cloud compute platform that lets users build and run data and AI processing pipelines, including pipelines that connect to third-party large language model (LLM) and other service providers. This Privacy Policy explains how we collect, use, share, and protect personal information in connection with our website at rocketride.ai and the RocketRide cloud platform and related services (together, the “Services”). RocketRide Inc. is a separate company from the RocketRide.org Foundation, which stewards the open-source extension project. The Foundation’s website and open-source activities are governed by the Foundation’s own separate privacy policy and are **not** covered by this Policy. This Policy applies only to the RocketRide Inc. commercial Services. By creating an account or using the Services, you agree to the practices described in this Policy. ## 02Scope of This Policy — Account Data vs. Customer Content The Services involve two distinct categories of data, and our role differs for each: - **Account and operational data (we act as controller).** Information we collect to provide the Services to you such as: your account details, billing information, and usage data - is data for which RocketRide determines the purposes and means of processing. This Policy governs that data. - **Customer content processed through your pipelines (we act as processor).** Data, inputs, prompts, files, and outputs that you submit to or generate through your pipelines are processed by RocketRide on your behalf and under your instructions. For this customer content, *you* are the controller and RocketRide is a processor (or service provider). Our handling of customer content is governed by the agreement under which you access the Services (for example, our Terms of Service and any Data Processing Addendum), not solely by this Policy. Where this Policy and that agreement conflict as to customer content, that agreement controls. If you use the Services to process personal information about other individuals, you are responsible for having a lawful basis to do so and for providing any required notices to those individuals. ## 03Information We Collect ### 3.1 Information You Provide - **Account information:** name, email address, password (stored in hashed form), and, where applicable, company or organization name and role. - **Billing information:** when you purchase a paid plan, payment is processed by our payment processor, Stripe, Inc. (“Stripe”). We do not collect or store full payment card numbers on our systems. We receive limited billing metadata from Stripe (such as your billing name, the last four digits and brand of your card, billing country, and transaction status) to manage your subscription. Stripe processes your payment data as an independent controller under its own privacy policy. - **Communications:** information you provide when you contact support, submit a form, or otherwise communicate with us. ### 3.2 Third-Party Credentials and API Keys You Configure To build a pipeline that connects to an external tool or service — such as an LLM provider, a database, an email service (for example, Outlook), a voice or media service (for example, ElevenLabs), or any other tool you add to your pipeline — you currently need to supply API keys or similar credentials for *your own* third-party accounts. We treat these credentials with particular care: - We store the credentials you enter in encrypted form and use them solely to execute the pipeline you have configured, on your instruction. - We do not use your credentials to access, read, modify, create, or delete anything in your connected third-party accounts beyond making the connections your pipeline itself performs. We have no ability to alter the contents of your connected accounts. - You may remove or rotate the credentials you have stored at any time through your account. You remain responsible for the security and terms of your own third-party accounts. When your pipeline runs and sends data to a connected third-party tool or service, that tool or service processes the data under *its own* terms and privacy policy. RocketRide is not responsible for the data practices of the third-party tools and services you choose to connect. We encourage you to review the terms and privacy policies of any tool or service you connect. ### 3.3 Information Collected Automatically When you use the Services, we automatically collect certain technical and usage information, including: - IP address and approximate geographic location - Browser type and version, device, and operating system - Pages or screens viewed, features used, and actions taken within the Services - Log and diagnostic data, including timestamps, request metadata, and error reports - Referring website and, on our marketing site, cookie and analytics identifiers ## 04How We Use Your Information We use the information described above to: - Provide, operate, maintain, and secure the Services, including executing the pipelines you configure - Create and manage your account and authenticate you - Process payments and manage subscriptions through Stripe - Provide customer support and respond to your requests - Monitor, troubleshoot, and improve the performance, reliability, and security of the Services - Detect, prevent, and respond to fraud, abuse, security incidents, and violations of our terms - Send you service-related communications (such as security, billing, and account notices) - Comply with legal obligations and enforce our agreements We do **not** sell your personal information for monetary consideration. We may, however, “sell” or “share” personal information as those terms are broadly defined under California law — for example, where cookies or analytics tools allow third parties to collect information for cross-context behavioral advertising. California residents have the right to opt out of this activity; see Section 10.2. ## 05AI Features and Model Training ### 5.1 AI-Assisted Pipeline Builder The Services include a natural-language app builder. When you describe, in your own words, the pipeline you want to create, your instructions and related context are sent to a third-party large language model (LLM) provider that generates the corresponding pipeline configuration. This provider acts as our sub-processor and processes your inputs solely to generate your pipeline for you, under a data processing agreement. Because our builder LLM provider may process data in the United States, the international-transfer safeguards described in Section 7 apply. We will identify our current builder LLM provider on request (see Section 6). Our builder LLM provider is contractually restricted from using your builder inputs to train or improve its own models. To protect your information, do **not** include passwords, API keys, or other secrets in your natural-language instructions; enter credentials only in the dedicated credential fields described in Section 3.2. ### 5.2 Use of Customer Content for Model Training We do **not** currently use your customer content — including pipeline inputs, prompts, files, builder instructions, or outputs — to train, fine-tune, or otherwise develop or improve any machine-learning or AI model, whether our own or a third party’s. If we ever decide to use customer content for model training or a materially similar new purpose, we will provide advance notice and a meaningful opportunity to object to, or to delete the relevant data before, that new use takes effect. We will not apply such a new use to your customer content without first giving you that notice and opportunity. ## 06How We Share Your Information We do not sell your personal information for monetary consideration. We share information only as described below (for how California law’s broader definitions of “sell” and “share” apply, and how to opt out, see Section 10.2): - **Service providers / sub-processors.** We use third-party vendors to operate the Services. They may process information on our behalf, under contracts requiring appropriate confidentiality and security. Our current categories of sub-processors are: - **Cloud hosting and infrastructure:** Google Cloud Platform (Google LLC) and Latitude.sh. - **Storage and data analytics:** Amazon Web Services, Inc. (AWS). - **AI / LLM provider for the in-product app builder:** a third-party LLM provider, identified on the sub-processor list available on request. - **Payment processing:** Stripe, Inc. - **Legal and safety.** We may disclose information where required by law, subpoena, court order, or other legal process, or where we believe disclosure is necessary to protect the rights, property, or safety of RocketRide, our users, or others. - **Business transfers.** If RocketRide is involved in a merger, acquisition, financing, reorganization, or sale of all or part of its assets, your information may be transferred as part of that transaction. We will notify you of any such change in ownership or control of your personal information, and of any resulting choices you may have. A current list of sub-processors is available on request at privacy@rocketride.ai. ## 07International Data Transfers RocketRide is a company based in the United States, and we process information in the United States. In addition, members of our team and contractors located in **India** may access personal information in order to operate, support, and improve the Services. As a result, your information may be transferred to, accessed from, stored, and processed in the United States, India, and other countries whose data-protection laws may differ from those of your own country. Where we transfer personal information out of the European Economic Area (EEA), the United Kingdom, or Switzerland, we rely on appropriate safeguards recognized under applicable law — such as the European Commission’s Standard Contractual Clauses, the UK International Data Transfer Addendum, and, where our providers are certified, the EU-US Data Privacy Framework — or another lawful transfer mechanism. You may request more information about these safeguards using the contact details below. ## 08Data Retention We retain personal information only for as long as necessary for the purposes described in this Policy, or as required by law. In general: - **Account information:** for the life of your account, and for a reasonable period afterward as needed for legal, tax, security, or dispute-resolution purposes. - **Stored third-party credentials / API keys:** until you remove them or close your account, after which they are deleted from active systems within a commercially reasonable period. - **Billing records:** retained as required for accounting, tax, and legal obligations. - **Logs and diagnostic data:** up to 90 days, unless retained longer for security investigations. - **Customer content:** retained and deleted in accordance with your account configuration and the agreement governing the Services. ## 09Data Security We implement technical and organizational measures designed to protect personal information against unauthorized access, alteration, disclosure, or destruction. These measures include encryption of data in transit and at rest, encryption of stored third-party credentials, access controls and the principle of least privilege, and logging and monitoring. We review our security practices over time. However, no method of transmission or storage is completely secure, and we cannot guarantee absolute security. ## 10Your Privacy Rights Depending on where you live, you may have some or all of the rights described below. To exercise any of these rights, contact us using the details in Section 15\. We will respond within the timeframe required by applicable law and may need to verify your identity first. We will not discriminate against you for exercising your rights. ### 10.1 EEA, UK, and Switzerland (GDPR / UK GDPR) If you are located in the EEA, the UK, or Switzerland, you have the rights to access, rectify, erase, restrict, and object to processing of your personal data, and to data portability. Where we rely on consent, you may withdraw it at any time. Our lawful bases for processing are: performance of a contract (to provide the Services you request); legitimate interests (to operate, secure, and improve the Services); consent (for optional cookies and analytics, and certain communications); and compliance with legal obligations. ### 10.2 United States — California (CCPA/CPRA) and Other States This section serves as our “Do Not Sell or Share My Personal Information” notice for California residents. We do not sell your personal information for monetary consideration. We may “sell” or “share” personal information as those terms are broadly defined under the CCPA/CPRA — for example, when cookies or analytics tools allow third parties to collect information for cross-context behavioral advertising. California residents, and residents of other U.S. states with comparable laws, have the right to: opt out of the sale or sharing of personal information; know what personal information we collect, use, and disclose; request deletion of personal information; correct inaccurate personal information; and not be discriminated against for exercising these rights. **How to opt out of sale or sharing.** You can submit an opt-out request by: - Emailing us at privacy@rocketride.ai with the subject line “Do Not Sell or Share My Info” along with your account information for us to flag; or - Adjusting your cookie preferences in your browser, or enabling a Global Privacy Control (GPC) signal, which we honor as a valid opt-out request. We will process requests within the timeframes required by law and may need to verify your identity first. We do not require you to create an account to submit a request. ### 10.3 India (Digital Personal Data Protection Act, 2023) If you are located in India, you may request access to and correction, completion, updating, or erasure of your personal data, withdraw consent where processing is based on consent, and nominate another individual to exercise your rights in the event of death or incapacity. You may raise any grievance regarding our handling of your personal data using the contact details in Section 15, and you may escalate to the Data Protection Board of India where permitted by law. ## 11Cookies and Analytics Our website and Services use cookies and similar technologies to operate, remember your preferences, and understand usage. Usage data collected through the Services is stored and analyzed using our infrastructure providers, including Amazon Web Services (AWS). We may also use cookies or analytics tools that allow third parties to collect information for cross-context behavioral advertising; under California law this may constitute “sharing” or “selling,” and you can opt out as described in Section 10.2\. You can control cookies through your browser settings and, where required, through our cookie banner or consent tool; where supported, we enable IP anonymization and other data-minimizing settings. ## 12Children’s Privacy The Services are intended for business and professional use and are not directed to individuals under 18\. We do not knowingly collect personal information from anyone under 18\. If you are under 18, please do not use the Services or provide any information to us. If we learn that we have collected personal information from a person under 18, we will take steps to delete it. ## 13Third-Party Links and Services The Services may link to or interoperate with third-party websites and services, including providers you choose to connect to your pipelines. This Policy does not apply to those third parties, and we are not responsible for their privacy practices. We encourage you to review their policies. ## 14Changes to This Policy We may update this Policy from time to time. When we do, we will revise the effective date above and, for material changes, provide additional notice (for example, by email or an in-product notice). Your continued use of the Services after an update takes effect constitutes acceptance of the revised Policy. ## 15Contact Us If you have questions or requests regarding this Policy or your personal information, contact us at: **RocketRide** **Inc.** 41 Grant Ave, Floor 2, San Francisco, CA 94108, USA Privacy contact: privacy@rocketride.ai [RocketRide Inc.](https://rocketride.ai/?ref=news.rocketride.ai) — Effective Date: June 18, 2026 ## Posts ### Mission #15: Your pipelines have teammates now URL: https://news.rocketride.ai/mission-15/ Last updated: 2026-09-02T15:00:47.000Z ![RocketRide](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/rocketride-icon-color@2x.png) Listen online Mission #15: Your pipelines have teammates now 1× ▶ 0:00 5:22 ▶ Listen online 0:00 × --- Your pipelines have teammates now ![A crew of four around one shared canvas, planning together](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/09/mission15-story1-1.png) Solo, your pipeline workflow is fine. Then a second engineer joins, and suddenly you're exporting files, screenshotting configs, and explaining in Slack why node four has that threshold. On **RocketRide Cloud** the team shares one canvas, with visibility scoped to person, team or org. The pipeline your colleague tuned on Friday is the one you debug on Monday. Same version, same trace, same view. The running pipeline is the documentation. **How the shared canvas works** Visibility on Cloud has three levels: individual, team, and organization. A pipeline scoped to you stays yours. Scope it to your team and everyone on it opens the same canvas, runs the same version, and reads the same trace. Scope it to the organization and it becomes shared infrastructure anyone inside can build on. That is what removes the handoff. There is no export step because there is nothing to export: your colleague is not looking at a copy of your pipeline, they are looking at your pipeline. Runs, versions and traces are the same objects for everyone who can see them, which is why the running pipeline ends up being the documentation. [Get your team on Cloud](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- The best conversations never happen on a stage [ ![RocketRide x SCU Buildathon, 31 August to 6 September, virtual event](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/09/mission15-story2-1.png) ](https://luma.com/8dsi5sz3?ref=news.rocketride.ai) On August 30 we hosted the first **RocketRide Hangar** in San Francisco. No talks, no panels, no pitches. A rooftop of founders, engineers, creators and AI builders from the local startup ecosystem, an evening of conversation and drinks, and the kind of connections you cannot put on an agenda. Our co-founder Joe Maionchi took the floor and gave the room the real story on what we are building. It sold out. This is the first of many. If you missed it, there is one you can join from anywhere, and it is running right now. RocketRide and AI Collaborate at Santa Clara University are hosting the **SCU Buildathon** online from August 31 to September 6\. Build an AI pipeline or an automation, publish it on RocketRide, and get real users on it. Winners take 1,000 dollars in credits. It is open to every university, not only SCU, solo entries welcome and teams up to four. Submissions open on September 4 and the deadline is September 6. The bar is not technical complexity. It is whether someone would choose your app over doing it themselves. Build. Connect. Share. Take off. [Join the SCU Buildathon](https://luma.com/8dsi5sz3?ref=news.rocketride.ai) --- Outside Our Orbit > *The week's AI news that changes how you build.* [**Nvidia released a 30B open model built for speed on any modern GPU.**](https://developer.nvidia.com/blog/nvidia-nemotron-3-5-lightning-delivers-fast-accurate-specialized-task-execution-for-long-running-agents/?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-15&utm%5Fcontent=news-1) Nemotron 3.5 Lightning landed on August 11 with OpenMDW-1.1 open weights and 3B active parameters in a 30B mixture of experts. NVIDIA's own benchmarks show 4x the output speed of similar sized models and 86 percent accuracy on PinchBench. The weights run on Blackwell, Hopper, and Ampere GPUs, quantized checkpoints included. If your pipeline is locked into closed models because the alternatives were too slow, this one runs the math differently. [**A frontier multimodal model shipped with MIT weights and 1M context at a promotional price.**](https://huggingface.co/zai-org/GLM-5.3-Flash?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-15&utm%5Fcontent=news-2) Z.ai released GLM-5.3-Flash on August 26: 320B total parameters, 18B active, natively multimodal text, image, and video, 1M token context. MIT licensed. The list price is 15 cents per million input tokens and 50 cents per million output, and a 50 percent promotional discount runs through September 9\. If you cut a vision or video reasoning step from your pipeline because the economics didn't work, the economics just changed. [**The hardware under your inference bill just got more expensive.**](https://www.cnbc.com/2026/08/22/nvidia-customers-reportedly-warned-about-ai-related-price-hikes-.html?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-15&utm%5Fcontent=news-3) Nvidia has told server makers that systems built on its AI chips will cost more than 15 percent extra, and supply chain sources put the top of that range near 17 percent depending on how much memory a configuration carries. Grace Blackwell and Vera Rubin systems are both affected, and the increases land on machines shipping early next year. The contract manufacturers that build for Microsoft, Google and Oracle have already passed word to their customers. The cause is memory, not silicon: HBM demand is outrunning supply. Rented GPU hours are priced off that hardware, so the floor under every always-on pipeline you run is moving up with it. --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #14: Agents are everywhere. Their tools are not. URL: https://news.rocketride.ai/mission-14/ Last updated: 2026-08-26T15:00:43.000Z ![RocketRide](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/rocketride-icon-color@2x.png) Listen online Mission #14: Agents are everywhere. Their tools are not. 1× ▶ 0:00 5:27 --- Your pipeline is a tool some agent is looking for [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/rocketride_image_2-1.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) Agents are everywhere now. What's rare is what they can call. When Claude or Cursor hits a real task, like redacting PII from a contract, parsing a quarter's invoices, or searching hours of footage, the reasoning is there. The tool usually isn't. Building that tool takes someone who has shipped for companies and knows where these things break. Here's what Cloud does with that: deploy your pipeline, and it's a live MCP tool on an always-on endpoint. No wrapper, no server, and more than a hundred nodes to build with. Any MCP-compatible agent can discover it and call it, at 2am, under load, while you're building the next one. On your laptop, your tool keeps your hours. On Cloud, it works for the whole ecosystem. Everyone is racing to build a smarter agent. The better position is quieter: be the toolmaker every agent depends on. [Deploy your first tool](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- How Do I Secure an AI Pipeline in Production? [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/image.png) ](https://joshuarocket.hashnode.dev/how-do-i-secure-an-ai-pipeline-in-production?ref=news.rocketride.ai) "A guardrail that locks out the attacker locks out the incident responder too." That's one of the sharper observations in Mithilesh's new security post, drawn from the Hugging Face team's own account. When they tried to analyze the attack data, commercial models refused the work, so they ran forensics on a self-hosted open-weight model instead. The post walks through the whole incident, IBM's 2026 breach numbers, and the three defenses that actually matter in production: containing what a foothold inherits, keeping credentials out of the pipeline artifact, and seeing inside a run while it's running. Where a runtime stops and your judgment starts is the part worth reading twice. [Read the full post](https://joshuarocket.hashnode.dev/how-do-i-secure-an-ai-pipeline-in-production?ref=news.rocketride.ai) --- Outside Our Orbit > *The week's AI news that changes how you build.* [**Nvidia just made "tokens per second" its newest product line.**](https://nvidianews.nvidia.com/news/nvidia-groq-3-lpx-now-in-full-production-with-world-class-speed-for-agentic-ai?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-14&utm%5Fcontent=news-1) On Monday Nvidia announced full production of Groq 3 LPX, a dedicated inference accelerator for its Vera Rubin platform, built on LPU technology licensed from Groq. The headline number: 3,400 output tokens per second on Gemma 4 31B, with 100K context. Nvidia claims that is 4x faster than the nearest alternative for latency-sensitive agent workloads. Nebius signed on as the first cloud to deploy it. Every multi-step agent you run has a hidden budget of "how long will a user wait", and the ceiling on that budget just moved. [**Vision just got cheap enough to leave on in every pipeline.**](https://api-docs.deepseek.com/news/news260821/?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-14&utm%5Fcontent=news-2) DeepSeek shipped V4-Flash-Vision-Exp on Friday: the same text and agent capabilities as V4-Flash, now with image understanding. Images are billed as ordinary tokens, capped at 384 tokens per image at Flash pricing. DeepSeek's own benchmarks put its multimodal agent performance nearly level with Opus 4.8, with the usual caveat that it is an experimental model and those are vendor numbers. A free Files API launched alongside it, so you upload an image once and reference it by file ID across requests. If you cut a screenshot-reading or document-vision step from your pipeline because the quote was ugly, this is the week to re-price it. [**Open models just became the majority of production traffic.**](https://x.com/rauchg/status/2091234105702887879?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-14&utm%5Fcontent=news-3) Vercel CEO Guillermo Rauch published AI Gateway data this week showing open-weight models jumped from 28 percent to 62 percent of token share in two months. OpenAI and Anthropic are still growing in absolute volume; what flipped is where new workloads go, with cheap open generalists taking the bulk and closed frontier models keeping the hard cases. That is production traffic across real apps, not a benchmark. If every node in your pipeline still defaults to one closed model, the market just showed you what your bill could look like instead. --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #13: You version your code. Why not your AI? URL: https://news.rocketride.ai/mission-13/ Last updated: 2026-08-19T15:00:36.000Z ![RocketRide](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/rocketride-icon-color@2x.png) Listen online Mission #13: You version your code. Why not your AI? 1× ▶ 0:00 5:27 --- Put the Ops back in AI-Ops [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/rocketride_image_1-1.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) Ask a team what version of their AI app is running in production. Count the seconds of silence. You'd never accept this for regular software. Your code has branches, staging, tagged releases, a diff behind every change, because that discipline is what lets you ship to real users without holding your breath. Then the AI parts arrived: prompts drifting a word at a time, pipelines edited live in production, and three weeks later nobody can say what changed before the numbers dipped. RocketRide Cloud is putting the discipline back, and our Chief Architect Rod Christensen just demoed it end to end. Every pipeline moves through design, development, staging, and production, with fully versioned history the whole way, so "what's deployed" has an answer instead of a guess. And when the numbers disagree with everyone's optimism? Rod rolled a live pipeline back from version 2 to version 1, on screen, in one click. Not glamorous. But this is the part that was always missing from AI-Ops: the Ops. It's coming to your workspace soon. **What the new deploy looks like, from the demo** The workspace now separates design, development, and deploy, so a pipeline's journey has named stages instead of one shared canvas everyone edits live. In the demo, a pipeline sat deployed as version one in a staging group. Scheduling is built in: cron-style syntax defines when a pipeline runs, hourly, daily, weekly, and stop conditions handle both kinds of pipelines, the ones that finish on their own and the ones, like chat, that never end and get a fixed window instead. Version two went to staging for testing while version one kept serving production. When version two was promoted and something looked wrong, production rolled back to version one, live on screen. That's the whole loop: versioned, staged, scheduled, reversible. For teams that ship AI the way they ship software, this is the missing half of the workflow. [Watch the deploy Demo](https://www.youtube.com/watch?v=M%5FMXCZjD98c&t=758s&ref=news.rocketride.ai), unedited. [Get started on Cloud](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- Two Countries, Six Events, Three Weeks [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/event-list-poster-landscape.png) ](https://luma.com/RocketRide.ai?ref=news.rocketride.ai) Starting this Saturday, the RocketRide team hits Delhi, Hyderabad, Lucknow, and Mumbai for the Buildathon series, From Idea to Million-Dollar App, then turns to SF for a week-long online buildathon with Santa Clara University and a Data & AI Hackathon at the AWS Builder Loft on September 11\. Every stop comes with the RocketRide team on site or online, ready to help you get a pipeline running. Wherever you are, there's a stop for you. [See All Events](https://luma.com/RocketRide.ai?ref=news.rocketride.ai) --- Outside Our Orbit > *The week's AI news that changes how you build.* [**The neutral AI router just got bought.**](https://www.bloomberg.com/news/articles/2026-08-16/stripe-nears-deal-to-buy-ai-firm-openrouter-for-over-7-billion?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-13&utm%5Fcontent=news-1) Stripe finalized its acquisition of OpenRouter last weekend, reportedly north of $7 billion, five times the valuation from three months ago. OpenRouter routes 400+ models for 8 million developers, and a lot of pipelines picked it precisely because it belonged to no one. Nothing changes today; the service keeps running. But the layer between your code and your models now has an owner with its own roadmap, and that is worth knowing before you renew a dependency. [**Every word Claude writes now carries an invisible signature, and you can't turn it off.**](https://www.anthropic.com/news/claude-text-watermark?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-13&utm%5Fcontent=news-2) Since August 11, all Claude text output embeds a statistical watermark, a compliance move under the EU AI Act, applied worldwide. Detection requires Anthropic's key, so third parties can't read it, and there is no opt-out on any plan. If your pipeline ships Claude-generated text to customers, that text is now traceable to its origin. Worth deciding whether that matters for your product before someone else decides for you. [**Google open-sourced a compiler that runs models on encrypted data.**](https://blog.google/security/how-google-is-making-private-ai-practical-with-homomorphic-encryption?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-13&utm%5Fcontent=news-3) HEIR converts pre-trained models to run under homomorphic encryption: inference happens without the server ever seeing the input, or the result. It is still slow for large models, and Google says so. But the direction is clear: privacy is moving from a policy layer to an architecture layer. If you build pipelines for regulated data, this is the primitive to start reading about now. --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #12: Watch the failure, not the logs URL: https://news.rocketride.ai/mission-12/ Last updated: 2026-08-12T15:00:31.000Z --- ![audio-thumbnail](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/media/2026/08/OrbitBrief_Mission_12-1_thumb.png) OrbitBrief Mission #12 0:00 /327.02 1× Rewind your AI and watch what actually happened [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/crew-approaching-rocket-on-launch-pad-1.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) Watching one agent is fine. Watching twelve is a browser full of tabs and a bad feeling. If you operate AI workflows for a company, you know the questions stop being technical and start being forensic. Who ran what? Which pipeline is quietly eating tokens? What exactly did the agent do in the thirty seconds before Tuesday's batch went sideways? At production scale, "check the logs" is not an answer. It's a weekend, and the incident review is Monday morning. On RocketRide Cloud, the evidence already lives in one place: tokens, traces, latency, errors, for every agent and every pipeline run, across your whole team. And soon, the part people don't believe until they see it: a DVR for your pipelines. The same way a DVR records live TV so you can pause and rewind it, the harness records every run, so you'll be able to reopen any past execution, play it back, and watch it unfold like it's happening live. Our Chief Architect Rod Christensen just demoed it on screen, bugs and all. The thirty seconds before the failure stop being a reconstruction from log fragments and become something the whole team watches together. That's what operating AI at scale is about to feel like. Incident reviews with evidence instead of archaeology. Less detective work, more watching the film. **How the DVR works, from Rod's live demo** The DVR records every pipeline run as it happens. Afterwards, any run from the history can be reopened and replayed: play, pause, rewind, with the timeline scrubbing through exactly what each node did and when. Two details from the demo worth knowing early. First, debug depth is yours to set: summary output is enough for steady production, while full pipeline debug output captures every internal message, and Rod's advice is to run new deployments at full depth for their first few weeks. Second, everything the DVR captures can be downloaded as a log or as events, which means you can hand a failed run directly to your coding agent and ask it what broke. Rod demoed exactly that workflow. Watch [Rod Demo](https://youtu.be/M%5FMXCZjD98c?si=QT1F7Ftc7zgU3hdc&t=396&ref=news.rocketride.ai) the DVR, unedited, bugs and all. [Get started on Cloud](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- Which AI Agent Orchestration Framework Should I Use in 2026? [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/mission-log-3.jpg) ](https://joshuarocket.hashnode.dev/which-ai-agent-orchestration-framework-should-i-use-in-2026?ref=news.rocketride.ai) A five-step agent workflow is easy to demo. The harder questions arrive afterward: what happens when the process dies halfway, where does session state live, and who operates the endpoint? Our new guide compares six orchestration platforms on exactly those questions, LangGraph, CrewAI, Microsoft Agent Framework, LlamaIndex, the OpenAI Agents SDK, and yes, RocketRide. Krish and Mithilesh are open about the bias and about our own gaps, including where durable-execution frameworks beat us today. How each platform draws the line between what you build and what you operate is the heart of the post, along with a ten question checklist to test any of them with one real workflow. [Read the full post](https://joshuarocket.hashnode.dev/which-ai-agent-orchestration-framework-should-i-use-in-2026?ref=news.rocketride.ai) --- Outside Our Orbit > *The week's AI news that changes how you build.* [**DeepSeek's cheapest model is getting more expensive**](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-12&utm%5Fcontent=news-1) V4-Flash-0731 landed on Hugging Face with an MIT license, 1M context, $0.28 per million output tokens, and nearly a million downloads in its first month. Last week, DeepSeek announced a significant price hike on the back of unprecedented demand. If your pipeline is coupled to one provider's pricing, this stings. Model-agnostic pipelines swap providers and keep shipping. [**Meta went back to open weights, and it runs on your gaming GPU**](https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-12&utm%5Fcontent=news-2) Muse Glimmer landed August 10: a 30B dense agentic model, Apache 2.0, 131K context, running on a single 24GB card with day-0 support in llama.cpp, vLLM, and Ollama. Fully open, commercial use included. The model is no longer the constraint. The constraint is what you build around it. [**This Friday, Claude Code stops asking permission by default**](https://claude.com/blog/auto-mode-default-in-claude-code?utm%5Fsource=orbitbrief&utm%5Fmedium=email&utm%5Fcampaign=mission-12&utm%5Fcontent=news-3) From August 14, Pro, Max, and Team sessions run in auto mode: a classifier screens every command instead of a human clicking approve. Anthropic's own numbers say why: the classifier catches 89% of dangerous commands in tests, human reviewers caught 13.6%. Autonomous-by-default is now the industry's assumption. Time to check your guardrails are load-bearing. --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #11 URL: https://news.rocketride.ai/mission-11/ Last updated: 2026-08-05T16:16:07.000Z --- GPU compute that scales to zero when your pipeline stops [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/astronaut-in-alien-city-with-moons-1.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) You know the drill. The pipeline needs transcription, OCR, embeddings, so somebody has to put GPUs behind it. That somebody is you. You size the instance, guess at peak load, and pick your poison: overprovision and watch money burn on idle metal, or underprovision and watch the nightly batch crawl. Then you babysit a cluster you never wanted, because the job that has to finish by 6am is yours. RocketRide Cloud deletes that job. The models doing the everyday work in your pipelines, transcription, OCR, vision, embeddings, run on our GPUs, managed by the RocketRide Model Server, which exists only on Cloud. When your pipeline needs a fast processor, one shows up. When the batch finishes, it's gone. Your plan's tokens are spent only while something actually runs, so idle time costs you nothing. This is built for the workloads you actually ship for companies: nightly jobs that spike and sleep, document volumes that swing by season, traffic that ignores your capacity plan. The economics finally match how production behaves. And you go back to the part of the job you chose. #### How the Model Server works Some models in your pipeline are API calls to someone else's infrastructure: the large LLMs from Anthropic, OpenAI, and the rest. Everything else, transcription, OCR, vision, embedding, transformer, and other non-large-LLM models, runs on RocketRide's own GPUs. The Model Server, exclusive to RocketRide Cloud, is the layer that manages them, so you never have to. It optimizes execution with three mechanisms. **AI-powered hot/warm/cold loading.** Model loading is managed across hot, warm, and cold tiers, with AI deciding what stays ready. **Model batching.** Requests to the same model are grouped and executed together instead of running one by one. **Intelligent GPU routing.** Workloads are routed to the right GPU automatically. You never pick a machine, size an instance, or plan for a peak that happens twice a year. The result is on-demand AI compute. Bring a fast processor online when you need it; stop paying the moment you don't. Your subscription's tokens are consumed only while pipelines actually run. The unit economics are clear: no idle GPU bills, no overprovisioned clusters. No idle GPU bills. No overprovisioned clusters. No capacity planner hiding in your job title. [Get started on Cloud](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- Memory Meets Motion Is a Wrap ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/DSC00710-6.JPG) ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/DSC00727-1-4.JPG) ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/DSC00953-3.JPG) ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/DSC00964-5.JPG) The whole day at Frontier Tower circled one tension: long-term context on one side, autonomous execution on the other. Teams shipped agentic workflows and stateful AI, every crew got Cloud credits to build on managed pipelines, and five teams made it to the live demos. Here's what the podium built. 🥇 **Atrium** is a classroom with memory. Its core insight: two students with the same failing score rarely have the same problem, one drops negative signs, the other applies operations out of order, and a gradebook can't tell them apart. Atrium can, because its memory is a graph. It groups students by why they're stuck, adapts the assignment per room without lowering rigor, and produces tomorrow's teaching plan, all rendered as a living isometric school that rebuilds itself after every assignment. Four RocketRide pipelines do the heavy lifting, from OCR on the uploaded assignment to synthesizing the next day's lesson. 🥈 **HandOff** fires the moment an employee resigns. It maps everything they own, works out what dies with them, and interviews them by voice about the reasoning that was never written down, turning a resignation into real Jira handoffs, calendar invites, and a memory of how they thought. RocketRide sequences the whole rescue pipeline end to end over an authenticated Cloud session, including a portable `.pipe` pipeline that grades the departing engineer's answers into a durable handover note. In the builder's own words: "Loved building with RocketRide, it really helped me orchestrate my project. Had a little hard time building .pipe but it was definitely fun to learn." 🥉 **HumanHarness** puts a team of AI agents on your live video feed. Multiple agents watch the same stream you do, each with its own expertise and voice, debating what they see and advising while you steer: strategy coaches while you game, engineers while you repair, narrators for visually impaired users. The name is the point: a team pulling in harness, with the human holding the reins. We'd be lying if we said the name didn't win us over a little. 🏆 **Best Use of RocketRide: runbook** turns a real Slack complaint into an evidence-backed incident plan. A read-only Slack intake raises the alert, the knowledge graph supplies service, deploy, and past-incident context, and RocketRide runs the diagnosis and remediation inference. Then comes the part that won our respect: a human must approve, reject, or modify every proposal, connector actions stay dry-run previews by default, and even an approved fix ships as a draft PR on a feature branch, never straight to main. The resolution is written back as durable incident memory, so the next incident starts smarter. Production discipline, at a hackathon. None of it runs without the people backing the day. Full thanks to our partners **FalkorDB, Guild.ai, LaserData, Linkup, and Snyk**, and to every mentor and judge who showed up. --- Rocket Ralph: Support That Answers While You Sleep [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/08/mission-log-2.jpg) ](https://dev.to/mithilesh%5Fgaurihar%5Fe719cd/rocket-ralph-support-that-answers-while-you-sleep-3fd0?ref=news.rocketride.ai) A new member hit a configuration problem at midnight and asked in Discord. The answer already existed; a human still had to find it and deliver it by morning. Krish and Mithilesh decided the documentation was never the problem, the path to it was, and built Rocket Ralph: a multimodal RAG pipeline, 21 components on the canvas, answering in the channel around the clock. The best part is the guardrails. Ralph cannot claim a search he never ran, retrieval is gated at a 0.7 similarity score, and billing questions always go to a human. How each rule is enforced by the pipeline instead of the prompt is in the full post. And if you want to see Ralph in action, [join the Discord](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) and ask him your questions. [Read the full post](https://dev.to/mithilesh%5Fgaurihar%5Fe719cd/rocket-ralph-support-that-answers-while-you-sleep-3fd0?ref=news.rocketride.ai) --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #10 URL: https://news.rocketride.ai/mission-10/ Last updated: 2026-07-29T15:00:40.000Z --- Same engine, same file, now it scales [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/astronaut-crew-walking-spaceport-boulevard_bright.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) Every developer has said it at some point. "Works on my machine." Well, developer, we can't ship your machine to the customer. Except now you sort of can. You know who you are. You review the diff twice before merging. Your pipelines have proper names, tested edge cases, and a reason for every node. You build for companies where the stakes are real: millions of documents, nightly batches that have to finish, users who notice when they don't. And nothing grates on you more than watching something you built carefully get mangled on its way to production, repackaged and reconfigured until what ships is a distant cousin of what you tested. RocketRide Cloud was built for exactly you. Develop and test locally on the open source runtime, the way you already work. Deploy to Cloud and change nothing: not a line of code, not a config file. Same C++ engine, same pipeline definition, same harness. The infrastructure underneath scales when users show up and processes datasets your laptop never could. But your pipeline? Byte for byte the one you tested. Your craft survives the deploy. Built for professional developers shipping real applications for real companies, at real scale. [Deploy your first pipeline](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- From Palo Alto to SF, and Back Again Next Monday ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/Agents-You-Love-2-Hackathon.JPG) What a week. **Build Fast, Launch Loud** wrapped last Saturday in Palo Alto. Thank you to Prompt Driven Development for hosting, to our fellow sponsors Venture Dock, Nexla, mem0, Rtrvr.ai, ElevenLabs, Render, Respan, Cerebras, Tencent EdgeOne Makers, Artemis TokenRouter, Startup Island Taiwan, and Cal Alumni Association, and to every builder who shipped something real in twelve hours. Congratulations to our Best Use of RocketRide winner: 🏆 VideoValidator: Checks uploaded videos shot by shot against scene definitions with an AI vision model, then scores and reports every shot. Forty-eight hours later, we did it all again in San Francisco at **Agents you Love 2** on Monday. Thanks to our partners HydraDB, Guild.ai, Linkup, and Insforge, to our community partner AI Valley, and to everyone who built, mentored, and demoed an agent worth coming back to. As for our Best Use of RocketRide winner: 🏆 Still up for grabs. Submissions are open on Discord, and a pair of AirPods is waiting for the best build. Get yours in. **Next Stop: Memory Meets Motion** The streak isn't over. Next Monday, August 3, RocketRide is partnering on **Memory Meets Motion**, a one-day hackathon in San Francisco built around a challenge we think about a lot: bridging long-term AI context (Memory) with autonomous agentic execution (Motion). Expect focused hacking, expert mentorship, and a top-five demo round in front of industry leaders. Seats are limited, and we'd love to build with you again. [Save Your Spot](https://luma.com/iu9svaun?ref=news.rocketride.ai) --- Why We Run Every AI Pipeline in Its Own Process [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/mission-log.jpg) ](https://dev.to/mithilesh%5Fgaurihar%5Fe719cd/why-we-run-every-ai-pipeline-in-its-own-process-1ikc?ref=news.rocketride.ai) AI pipelines don't fail like normal request handlers. A segfault in a C extension or a broken native library doesn't throw a tidy exception, it corrupts memory, and at that point application-level error handling stops being a reliable line of defense. That's why every RocketRide task runs as its own process, with its own interpreter, supervised by a runtime that records how it lived and how it died. The new post is honest about the trade: process isolation isn't the cheapest architecture, and it's not the right call for every system. Krish and Mithilesh explain when it earns its cost, how TTL and useExisting keep warm processes from being wasted, and how Cloud builds cost tracking on top so you can see what a pipeline costs per person, per team, and per organization. [Read the full post](https://dev.to/mithilesh%5Fgaurihar%5Fe719cd/why-we-run-every-ai-pipeline-in-its-own-process-1ikc?ref=news.rocketride.ai) --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #9 URL: https://news.rocketride.ai/mission-9/ Last updated: 2026-07-22T15:04:00.000Z --- Your first pipeline on Cloud just got a lot cheaper [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/rocketride-cloud-2-1.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) RocketRide Cloud now has a Starter plan, and it's $5 a month. We wanted trying Cloud to feel like grabbing a coffee, not signing a contract. So we made a smaller door. Five dollars, and you're in: same canvas, same live endpoints, the same harness as every plan above it. It's not a lite version. It's just a smaller bill. The timing isn't random. We passed 5,000 GitHub stars and 10,000 downloads this week, and a milestone like that means one thing: a lot of you are just getting started. The Starter plan is built for exactly that moment, when you want to try something real before you commit to anything big. And if you're wondering what $5 of Cloud looks like in real life, our intern Mithilesh has an answer. He built a support bot that replies in our Discord within seconds, straight from our docs, running on a live endpoint with no infrastructure for him to look after. Under the hood, the meta-harness earns its name: an agent framework, a model, and a vector store from three different ecosystems, running as one pipeline. [Watching him build it takes four minutes](https://bit.ly/3TM3GKc?ref=news.rocketride.ai). That "should I try it" debate you've been having with yourself? It just got a lot shorter. [Get Starter](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- From the Bay to Seattle: One Hackathon Down, One to Go ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/hackwithseattle2.0-1.jpeg) **HackwithSeattle 2.0** wrapped on last Friday at the AWS Skills Center in Seattle, and it was one for the books: 8 hours, close to 200 builders, and demo after demo that made the judging hard in the best way. Thank you to everyone who came, built, and mentored. Congratulations to our top three: 🥇Neera: Catches water waste from fire hydrant leaks with a vibration tracker, using RocketRide to query the data in plain language. 🥈Clipfarm: Ingests a live stream or VOD, detects the highlight-worthy moments, and serves the clips back ready for review. 🥉Blackstar: Runs Terraform code through RocketRide for security and cost analysis, then recommends ways to improve it. **Next Stop: Palo Alto** This Saturday, July 25, RocketRide is sponsoring **Build Fast, Launch Loud, a one-day Prompt Driven Development hackathon** in Palo Alto. The idea: prompts define behavior, AI agents generate the code, and by evening teams demo live products to a judging panel of tier-1 investors, with the top team earning a VC pitch opportunity. If you want to see what AI-native building feels like, this is the room to be in. [Save Your Spot](https://promptdriven.ai/events/build-fast-launch-loud-prompt-driven-hackathon?ref=news.rocketride.ai) --- A Pipeline Is a File. Running It Is the Work. [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/rocketride-tech-blog-1.webp) ](https://medium.com/cub3d/a-pipeline-is-a-file-running-it-is-the-work-ded94fc7c973?ref=news.rocketride.ai) Most platforms make you choose: build locally and rebuild for production, or hand your logic to a black box. Our new post argues you shouldn't have to do either. Your pipeline stays a portable .pipe file that runs the same on your laptop, your own servers, or RocketRide Cloud, and deploying is one click, not a packaging step. The logic your team owns stays readable, reviewable, and yours. What moves to us is the part nobody puts in a demo: model serving that keeps GPUs busy and costs down, authenticated endpoints, secrets and project controls, and run-level traces when one request fails. Krish and Mithilesh lay it all out, with a real pipeline as the running example. If a demo of yours has ever quietly turned into a dependency, this one will hit home. [Read the full post](https://medium.com/cub3d/a-pipeline-is-a-file-running-it-is-the-work-ded94fc7c973?ref=news.rocketride.ai) --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #8 URL: https://news.rocketride.ai/mission-8/ Last updated: 2026-07-15T23:16:12.000Z --- Observability Matters Most When Nobody's Watching [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/astronauts-overlooking-floating-city-with-ships_bright-1.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) You already know what your pipeline looks like when it runs locally: every token, every trace, the cost of every node, live on the canvas. That visibility is why you trust what you built. But local visibility has an easy job. You're sitting right there. Here's the usual price of going managed: all of that disappears. Your pipeline runs on someone else's machines, and what it costs, where it slows down, and why clip #47 failed all vanish behind a monthly invoice. Managed platforms ask you to trade sight for uptime, and most builders quietly accept it. RocketRide Cloud doesn't ask. It's the same harness you run locally, so deploying changes where your pipeline runs, not what you can see. Tokens as they process, CPU and memory per node, full traces with the detail level yours to dial. The observability you rely on at your desk follows your pipeline into production, because it was never a dashboard bolted on top. It's built into the harness itself. See it running on Cloud in [this three-minute build](https://youtu.be/rxwGg%5Fk7Pws?si=PtDdd5%5FHgeEJThYA&ref=news.rocketride.ai), per-node costs on screen while a folder of clips processes in parallel. Uptime without the blindfold. That's the trade you don't have to make. [Subscribe and deploy your first pipeline](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- From the Bay to Seattle: One Hackathon Down, One to Go ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/Bay-Builders-Hackathon-1.jpg) **Bay Builders Hackathon** wrapped on Monday at the AWS Builder Loft, and the bar was set high: don't just build a feature, build an AI company. RocketRide was proud to sponsor the event alongside InsForge, Nebius, Tavily, AgentOS, You.com, BAND, Cognee, Hydra DB, Nimble and Kylon, and to see six tracks of teams take ideas from whiteboard to working demo in a single day. Thank you to every hacker, mentor, and judge who made it happen. Congratulations to our winners: 🏆 **Gotchu**: Keeps wellness users coming back with a desktop AI pet that forgives instead of guilt-trips. 🏆 **Cited**: Tracks your brand's visibility in AI search and helps growing brands get recommended by AI. 🏆 **TheOrg**: Creates AI personas so teams can A/B test ideas on simulated users before real ones. 🏆 **StackMax**: Measures your progress toward any goal with AI and connects you with people chasing the same one. 🏆 **Scout**: Turns one plain-language goal into a chain of agents that prospect, research, and draft outreach with human sign-off. The momentum continues this week. RocketRide is heading to **HackwithSeattle 2.0** on July 17, an 8-hour hackathon at the AWS Skills Center in Seattle, featuring focused build sessions, expert mentorship, and a closing demo round in front of industry leaders. Our team will be on site throughout the day, and we'd love to see you there. [Register on Luma](https://luma.com/6u7f4gen?ref=news.rocketride.ai) --- What the AI Stack Looks Like Below the Model [ ![](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/rocketride-tech-blog.webp) ](https://ai.plainenglish.io/what-the-ai-stack-looks-like-below-the-model-dbafa59a77d0?ref=news.rocketride.ai) Everyone's arguing about which model is best. Meanwhile your GPU bill went up, an MCP security flaw quietly became your responsibility, and the teams shipping agents at scale will tell you the model was never the hard part. Our new post is about that gap: the messy infrastructure layer under the model, and why we think it deserves more of your attention than the leaderboard does. [Read the full post](https://ai.plainenglish.io/what-the-ai-stack-looks-like-below-the-model-dbafa59a77d0?ref=news.rocketride.ai) --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #7 URL: https://news.rocketride.ai/mission-7/ Last updated: 2026-07-13T22:44:56.000Z --- The model is not the product. The harness is. [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/070826/RocketRide-Cloud-Image.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) Every few months the spotlight moves. Models, then wrappers, then agents. Watch where it lands next: the harness. The harness is everything that isn't the model. Orchestration, data flow, state, guardrails, uptime. Models supply the intelligence; the harness turns it into work you can depend on. And the industry is arriving at an uncomfortable truth: a frontier model on a flimsy harness loses to a mid-tier model on a solid one. Claude and Cursor can reason all day, but redacting PII from a contract, parsing a thousand invoices, or searching hours of race footage is capability someone has to build, wire together, and keep alive at 3am. RocketRide is that harness: open source, IDE-native, model-agnostic. Build the pipeline in your extension, deploy it to RocketRide Cloud, and the exact same harness runs it fully managed. An always-on endpoint, exposed over MCP, discoverable and callable by any agent. We keep the harness alive; you decide what runs on it. Don't take our word for it: watch a deploy, start to finish. Everyone is racing to build a smarter agent. The durable position is quieter: be the harness every agent depends on. [Subscribe and deploy your first pipeline](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- A Look Back at the HackwithBay 3.0 [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/070826/HackwithBay-image.png) ](https://www.linkedin.com/posts/rocketride-ai%5Fhackwithbay-rocketridecloud-aihackathon-activity-7480414658869370881-PUtl?utm%5Fsource=share&utm%5Fmedium=member%5Fdesktop&rcm=ACoAAGRb9ZsBM9NoULGM10Fk8OgaoMVk2YRvNCI) **HackwithBay 3.0** reminded us why we love hosting these events. In just 8 hours, developers collaborated, solved problems, and built some incredible AI projects. Big thanks to every hacker, mentor, and judge who showed up, and to our sponsors Daytona, Neo4j, Nebius, Opsera, Butterbase and Cognee for backing this one. Congratulations to our top winners: 🥇**VeriGraph**: Turns research papers into interactive knowledge graphs that trace exactly what each study claims. 🥈**Constructor**: Turns any codebase into a visual dependency graph, so teams spot issues and understand structure fast. 🥉**Ultra Super Social Passport**: Gives users a shareable social passport with AI powering the experience behind the scenes, deployed as a live app. [Catch the Highlights](https://www.linkedin.com/posts/rocketride-ai%5Fhackwithbay-rocketridecloud-aihackathon-activity-7480414658869370881-PUtl?utm%5Fsource=share&utm%5Fmedium=member%5Fdesktop&rcm=ACoAAGRb9ZsBM9NoULGM10Fk8OgaoMVk2YRvNCI) --- From Vision to Memory: New Capabilities for RocketRide Agents ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/070826/rocketride-whats-new.svg) Your agents can now see, remember, and get a lot more done. We've expanded RocketRide with new building blocks for agent developers, including computer vision capabilities and integrations with LlamaIndex, Mem0, Daytona, FalkorDB, DeepL, Apify, Landing.ai, ArangoDB, and Gmail, which together let your agents see, remember, run code safely, reach more databases, translate, and work your inbox. On the vision side, we've added a full suite of 7 new nodes, including RF-DETR for detection, Mask2Former for segmentation, Depth Anything V2 for depth estimation, and BlazeFace, among others. There's also a new File Explorer app, scheduled pipeline deployments (deploy v2), and plenty of quieter fixes to make installs and builds smoother across platforms. --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #6 URL: https://news.rocketride.ai/mission-6/ Last updated: 2026-07-13T22:45:17.000Z --- RocketRide Cloud Is Ready. Focus on Building, Not Infrastructure. [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/070126/RocketRide-Cloud.png) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) You shouldn't have to manage infrastructure just to ship an AI pipeline. **RocketRide Cloud** gives you the same open runtime, fully managed by us. Build locally, connect your SDK or CLI, and deploy the exact same pipeline to the cloud in minutes. No servers to provision, no Docker to maintain, and no deployment rewrites. Your workflow stays the same from development to production, and if you ever want full control, you can self host anytime. [Get Early Access](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- Join Us at HackwithBay 3.0 [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/070126/HackwithBay-Landscape.png) ](https://luma.com/sv61aqlg?ref=news.rocketride.ai) Come build with us at **HackwithBay 3.0** on July 7 at the AWS Builder Loft in San Francisco. This year's theme, **Thoughtful Agents for Productivity**, brings together developers building practical AI applications. Whether you're building your first agent or your next production system, stop by to meet the team, explore RocketRide Cloud, and see how an open runtime helps you ship faster with less operational overhead. We look forward to seeing what you'll create. [Register on Luma](https://luma.com/sv61aqlg?ref=news.rocketride.ai) --- Tech Blog: MISSION LOG #1 [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/070126/RocketRide_Technical_Blog.webp) ](https://medium.com/@mithileshgaurihar/build-the-runtime-not-the-stack-b36bd243d71f?ref=news.rocketride.ai) AI models change faster than most production systems.Build a runtime that sits above the model instead, and the model becomes a node you swap without touching the rest of your pipeline. RocketRide gives you that layer: trace every run, read token cost as it happens, and keep the whole thing open, portable, and managed on Cloud when you want it off your plate. [Read the Technical Blog](https://medium.com/@mithileshgaurihar/build-the-runtime-not-the-stack-b36bd243d71f?ref=news.rocketride.ai) --- --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #5 URL: https://news.rocketride.ai/mission-5/ Last updated: 2026-07-13T22:45:38.000Z --- RocketRide Launch Event: Live Demos, AI Panels, and Networking [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/062426/launch-event-recap.jpeg) ](https://cloud.rocketride.ai/?ref=news.rocketride.ai) The countdown is over. **RocketRide** Cloud is officially live, and **AIDE** is ready for developers. 🚀 June 18 at **SHACK15** , we celebrated the launch with builders, founders, partners, and AI leaders. Live AIDE built on stage, demos already shipped on RocketRide, and a panel on what it really takes to bring AI into production. Thank you to our sponsors **Aparavi** , **Rho**, **foundersbay** , **neo4j** , **Latitude.sh**, **you.com**, and to everyone who showed up and made it special!! Explore the platform, start building, and join the waitlist for early access. [Join the waitlist](https://cloud.rocketride.ai/?ref=news.rocketride.ai) --- What if your meeting recap actually wrote itself? [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/062426/tutorial-demo.png) ](https://www.youtube.com/watch?v=xF2Npx2iewo&ref=news.rocketride.ai) Your meeting recap should write itself. So we built an agent that does exactly that. Drop in a transcript, and RocketRide routes it through a multi-agent pipeline. Claude handles the reasoning, Gemini drafts the follow-up email, and you get a clean summary with every action item and owner in seconds. No code. No configuration. Just a canvas, a few nodes, and two of the world's best models working together in one workflow. This is what building on RocketRide Cloud looks like. 🚀 [Watch the demo](https://www.youtube.com/watch?v=xF2Npx2iewo&ref=news.rocketride.ai) --- Community Demo Spotlight: FitCheck [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/062426/community-spotlight.png) ](https://www.youtube.com/watch?v=xJh3skeQsOY&t=2s&ref=news.rocketride.ai) Introducing a new series for our developer community: Community Demo 🎥 First up: FitCheck, they turns a company name and website into a live brand snapshot, ideal customer profile, and actionable leads, along with AI personas you can interact with and run experiments on. After moving orchestration to RocketRide, they brought run times down from 5–7 minutes to under 2.5 minutes. [Watch now](https://www.youtube.com/watch?v=xJh3skeQsOY&t=2s&ref=news.rocketride.ai) --- --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #4 URL: https://news.rocketride.ai/mission-4/ Last updated: 2026-08-05T00:55:27.000Z --- RocketRide Launch Event: Live Demos, AI Panels, and Networking [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/061726/rocketride-launchnight.avif) ](https://bit.ly/4xnjqTw?ref=news.rocketride.ai) 📅 Save the date! RocketRide Launch Night at Shack15 is almost here. We're excited to be joined by amazing sponsors including Rho, Aparavi, Neo4j, FoundersBay, Latitude, and you.com. Come meet the teams behind these companies, watch the live RocketRide launch, join industry discussions, explore partner demos, and connect with the AI community. Seats are limited. 🚀 [See you there](https://bit.ly/4xnjqTw?ref=news.rocketride.ai) --- Drop your project in Discord, skip the setup [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/061726/rocketride-discord-bot.jpg) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) We’ve made it much easier to share what you’re building inside the RocketRide community!! 🚀 In Discord, you can now post your project in seconds:Type /submit in Discord, pick your track, and answer a few quick questions about what you made and what feedback you want. The bot handles the rest and drops a clean project card into #project-showcase with a thread open for discussion. Just drop your project and let the community weigh in. [Show us what you built](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) --- RocketRide Harness Radio #1: Your IDE Is the New AI Command Center [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/061726/rocketride-harness-radio-1.png) ](https://bit.ly/4xwhGr5?ref=news.rocketride.ai) We're launching a new series: RocketRide Harness Radio (RHR).🎙️In our first episode, we dive into a key challenge in agentic coding: builds that take hours but end up taking weeks to ship. Our CTO, [Joe Maionchi](https://d2873baab56d6c9b82821c7de78b4d6f.us-east-1.resend-clicks-a.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Fjmaionchi%2F/1/0100019ed7d21baa-3f4a48f9-8298-47be-a35e-fdbb3a5f26a9-000000/hckeJmY6BGOUxaFAlprNyawb2QgKzruRJZj-b486%5F4I=452?ref=news.rocketride.ai) shares how AI-generated code can get fragile and break in unexpected places. RocketRide fixes this with standard pipeline tracks and full visibility into performance, tokens, and latency. [Watch now](https://bit.ly/4xwhGr5?ref=news.rocketride.ai) --- --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #3 URL: https://news.rocketride.ai/mission-3/ Last updated: 2026-08-05T00:55:20.000Z --- Cloud Launch Night Is Almost Here [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/RocketRide-AIDE-Launch.png) ](https://bit.ly/4xnjqTw?ref=news.rocketride.ai) Something exciting is coming. Join us on June 18 at Shack15 as we unveil RocketRide Cloud with live demos, great conversations, and a firsthand look at what we've been building. We can't wait to share it with the community. [Save your seat](https://bit.ly/4xnjqTw?ref=news.rocketride.ai) --- Fresh off the RocketRide release ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/060826/rocketride-oss-release.png) We added MiniMax (with the new 1M-context M3 model), a ClickHouse node, Tavily web search, xTrace agent memory, and one-click Supabase/Nebius/Butterbase presets. DeepAgent now runs sub-tasks in parallel, cutting total time to the slowest task. Billing got a cleaner plan picker, smoother checkout, and an auto-activating waitlist. New on cloud: an Interactive Profiler to explore any run as a flame graph, sunburst, or stats table. Plus stability fixes across OCR, Whisper, and VS Code, with the SDKs and docs kept in sync. --- A Look Back at the Agentic AI Hackathon [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/060826/agentic-ai-hackathon-photo.jpeg) ](http://bit.ly/49PxSJL?ref=news.rocketride.ai) Last week, RocketRide hosted its Agentic AI Hackathon at the AWS Builder Loft, backed by Nebius, Butterbase, XTrace, Photon, Composio, and Devnovate. Huge congrats to everyone who joined for an incredible weekend of building and to our top 3 winners! 🥇 Fire Scout for wildfire prediction and alerts, 🥈 Pebble for agentic sales and market intelligence, and 🥉 DeadDrop for its immersive real world ARG experience. 👏🎉 [Catch the Highlights](http://bit.ly/49PxSJL?ref=news.rocketride.ai) --- --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #2 URL: https://news.rocketride.ai/mission-2/ Last updated: 2026-08-05T00:55:05.000Z --- Agentic AI Hackathon - June 5, San Francisco [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/260603/rocketride.hackathon.avif) ](https://bit.ly/4uRkqgY?ref=news.rocketride.ai) Most AI demos don't survive contact with production. This Friday's hackathon is built for pipelines that reason, backends that spin up themselves, agents that actually remember. Build a real agentic app using RocketRide, Butterbase, and xTrace in one day. Vaporware gets disqualified. Real integration wins prizes. [Claim your spot](https://bit.ly/4uRkqgY?ref=news.rocketride.ai) --- Podcast: why fast AI still makes slow projects? [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/060426/mlops-podcast.png) ](https://bit.ly/4fxggGl?ref=news.rocketride.ai) Coding agents are quick, no doubt. They also leave a mess. The real challenge now is what you do once the code part is easy. That's what RocketRide's founders dig into with Demetrios Brinkmann on the MLOps Community podcast, all from your IDE. Good one to put on. [Watch the Podcast](https://bit.ly/4fxggGl?ref=news.rocketride.ai) --- The AI layer is not your framework [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/060426/theailayerisnotyourframework.webp) ](http://bit.ly/4vvZSul?ref=news.rocketride.ai) There's a moment in every AI project where you sit back, look at the mess, and mutter "this framework sucks." But it really doesn't. You've just been duct-taping production onto LangChain and hoping nobody noticed. Joshua Phillips explains why your framework was never the problem, and what that messy middle layer is actually supposed to be. [Dive in](http://bit.ly/4vvZSul?ref=news.rocketride.ai) --- --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) --- ### Mission #1 URL: https://news.rocketride.ai/mission-1/ Last updated: 2026-07-29T06:19:17.000Z --- RocketRide Launch Night at Shack15 [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/260603/rockrtride.launchnight.avif) ](https://bit.ly/4xnjqTw?ref=news.rocketride.ai) We built it. Now we're launching it. Join us June 18 at Shack15 for the RocketRide Cloud launch and AIDE Showcase, live demos, real product, no slides-only theater. [Save your seat](https://bit.ly/4xnjqTw?ref=news.rocketride.ai) --- Leverage the Power of MiniMax M3 in RocketRide [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/260603/minimax.m3.avif) ](https://bit.ly/3SpIGsb?ref=news.rocketride.ai) MiniMax just dropped M3 on Monday, and we're already ready for it. We've added a MiniMax node to our open-source node inventory, so you can drop it into your pipeline today. M3 support is coming to RocketRide soon, and when it lands, you'll be the first to ship with it. 🚀 [Read More](https://bit.ly/3SpIGsb?ref=news.rocketride.ai) --- Agentic AI Hackathon - June 5, San Francisco [ ![](https://pub-7978b1a76a4f4171a4b0cd77116a9b1e.r2.dev/260603/rocketride.hackathon.avif) ](https://bit.ly/4uRkqgY?ref=news.rocketride.ai) Most AI demos don't survive contact with production. This Friday's hackathon is built for pipelines that reason, backends that spin up themselves, agents that actually remember. Build a real agentic app using RocketRide, Butterbase, and xTrace in one day. Vaporware gets disqualified. Real integration wins prizes. [Claim your spot](https://bit.ly/4uRkqgY?ref=news.rocketride.ai) --- --- [ ![Join us](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/discord-button-1.png) ](https://discord.com/invite/PMXrtenMsY?ref=news.rocketride.ai) [ ![Partnership Request](https://storage.ghost.io/c/d0/fb/d0fba836-5e23-488c-800b-baba7bad55b7/content/images/2026/07/partnership-button-1.png) ](https://news.rocketride.ai/partnership/) ---