Our fearless leader Jonathan Wall talked with Demetrios from @mlopscommunity about sandbox infrastructure for AI Agents. Tune in and learn from something new 🤯 https://t.co/rWiEIFSrUk

We built a bug finder. We're finding serious, "let's fix that right now" issues in every codebase we run it on. Introducing Detail!

Opus 4.5 vs Gemini 3, Agents in Slack, Phone a Farmer - Agents Hour

💻Sandboxes for DeepAgents We're excited to launch Sandboxes for DeepAgents, a new set of integrations that allow you to safely execute arbitrary DeepAgent code and bash commands in remote sandboxes. Supports @RunloopAI @daytonaio @modal Your DeepAgent runs locally (or

Congrats Mastra! Built in SF, for the agentic web together 🤝

We’re thrilled to join the 2025 AWS Generative AI Accelerator! 👏 Over the next 8 weeks, we’ll work with AWS mentors to scale Runloop’s devboxes & benchmarking tools—building faster, more reliable agent infrastructure. #GenerativeAI #AWS #AI https://t.co/xxfp3BqHXD

The explosion of AI agents has created a critical need for rigorous and relevant evaluation and functional training.

@rileytomasek @CharlieLabs @OpenAI Checkout Charlie at https://t.co/04JwSYTGbT and Runloop at

Kudos to @rileytomasek from @charlielabs who presented on @openai Build Hours on GPT-5 last week, VOD available at https://t.co/hbNsEyN1xz. You can see the huge jump in performance delivered by the release of GPT-5. Charlie uses Runloop for fast, isolated, and secure devboxes

Runloop's Repo Connect simplifies environment and Devbox setup for agents. Go from @github url -> hundreds of isolated environments for your agents in minutes 🏎️. Available now for all Pro users, new users get their 1st month free + $25 in credits! Try it at

The story of HumanEval by @openai, an applied example of "what gets measured, gets improved". Read about how frontier research leads to the development of frontier models here: https://t.co/55ITZkz6G0

Congrats to @jonathantwall and the entire @RunloopAI team on this milestone. Runloop is building the first batteries-included platform where AI coding agents actually work at enterprise scale, complete with secure, cloud-based devboxes. Proud to partner and keep building. 💪

🎉 Incredible news! Our team secured $7M in seed funding led by The General Partnership to revolutionize how AI agents work in production. Massive congratulations to our amazing team! 🔥 Learn more here:

Runloop update: 1st month FREE for all plans + $25 credit when you sign up today! Run SWE-Bench, HumanEval, and more on our benchmark tier. Deploy your trained AI agents on devboxes and let your agents operate on consistent environments at scale. Get started at

🚀 Great insights at @Predibase DeployCon! Learned how top companies like DoorDash, Pinterest, and more, tackle production AI challenges. There's a lot to come if you're working on AI features. Check out our RFT case study collaboration: https://t.co/fNwOJ1OUFg!

We're headed to DeployCon tomorrow! 🔥 While teams share war stories about scaling AI in production, we're here to explain how our platform solves those infrastructure headaches. Come find us at the AWS Loft in SF & thanks to @Predibase for hosting! https://t.co/pX2uQz7deO

New to AI agent development? 🚀 Start with something simple! Sign up at https://t.co/2j1RsYk3bG, launch a devbox from our dashboard, and you're coding in seconds. Pull code, run agents instantly - no setup headaches! Python and Typescript examples @ https://t.co/3n1eMlK9wv

🚀 ICYMI: Runloop Public Benchmarks are live! Test your AI coding agents against industry standards like SWE-Bench Verified for just $25—fully integrated, test-ready infrastructure for evaluating and improving your agents. Video walkthrough:

🔧 We built an MCP server that gives AI agents the same code navigation strategies developers use: AST parsing, test traces, PR history analysis, and semantic search; All hosted on a secure sandbox. Open source demo; Sign up at https://t.co/2j1RsYk3bG