Runloop Developer

Watched Runloop spin up a full dev environment in a minute, live on stage at Stripe Sessions. Proud to be a launch partner for Stripe Projects, and even prouder of the team that made it real. youtu.be/-R8E0pk30Bw

@detaildotdev this is super cool @detaildotdev!

We ran a chess tournament for bugs. The question we wanted to answer: are bugs from Detail "important"? How do they compare to what code review bots catch? One of the most important ways we benchmark ourselves is that we want the bugs we generate to be significantly more important than the typical comment from a code review bot. We took a week of findings from CR bots running on OpenClaw and vLLM, plus findings from Detail on the same week of changes. We put them through an LLM-as-judge tournament. We fed the head-to-head results into a Bradley-Terry model to compute ELO ratings for bugs. Out comes a global ranking from most to least important. Awesome exploration from @sachiniyergreen below, with methodology, charts, and a PostHog secret exfiltration vuln that four code review bots missed.

@stripe Excited to be a launch partner with @stripe Projects! See how you can get started below: x.com/RunloopDev/sta…

Vibedeploy with Stripe Projects, now available to everyone: projects.dev.

@stripe Vibecoding will never be the same after vibedeploying. Let's go!!

Vibedeploy with @stripe and Runloop! Thanks @gaybrick (and his agent) for showing off Runloop!

Introducing Axons: our new distributed event stream for running agents at scale. If you’re building long-lived, multi-client agent workflows, this is for you. Axons make agentic workflows durable, auditable, secure and cost-efficient: runloop.ai/blog/axon-rele…

So sorry this happened to you. Models can't police themselves. The guardrail was a paragraph of text. That's not a guardrail. Security has to live at the infra layer. Container inside a micro VM, network policies, scoped tokens, tool restrictions. We built a credential gateway so a domain-management token cannot touch volumeDelete because that permission doesn't exist at the API layer. You decide exactly which tools an agent can call. When you're free, we'd love to help prevent this in the future. DM us.

Link to the Article: prnewswire.com/news-releases/…

Shipping AI agents you can trust in production just got dramatically easier. Agents making autonomous decisions across real workflows need constant validation but running benchmarks used to take days, required constant oversight, and gave teams no structured way to compare results. With Runloop's Benchmark Job Orchestration + Weights & Biases integration, thousands of parallel environments run in hours, not days, without tending, and give full trace-level visibility into every action and agent turn Find out more in our docs 👇

Agent capability without control is a liability. Runloop's own Abigail breaks down the control architecture that lets you deploy agents that are powerful and safe without trading one for the other. infoworld.com/article/416101…

@wandb @weave_wb Runloop handles the execution layer. Weave handles the observability and analysis layer. Together they turn one-off benchmark scripts into a continuous evaluation workflow. Full report: wandb.ai/wandb_fc/genai…

@wandb @weave_wb The demo in the joint report: Terminal-Bench 2, OpenCode as the agent harness, Gemini 3 Pro vs Claude Sonnet 4.6, 100 concurrent devboxes, full trace export to Weave, side-by-side comparison in one view.

Runloop now integrates with @wandb Weave for orchestrated agent benchmarks with full traceability. Runloop runs thousands of agent tasks in parallel. @weave_wb turns the traces into something you can inspect and compare. Joint report: wandb.ai/wandb_fc/genai…

You ever run a benchmark and end up with 40 log files, zero clarity, and a laptop that sounds like a jet engine? @runloopai + W&B Weave fixes this 🧵

Building long-horizon agents for legal, finance, healthcare, or data analysis? Try Runloop today to modernize and secure your enterprise agent development process. Watch YouTube Tutorial: youtu.be/NCmrpHezk3E Get Started: platform.runloop.ai Integration Guide: runloop.ai/blog/runloop-o… OpenAI Agents SDK Guide: developers.openai.com/api/docs/guide…

@OpenAIDevs Why cloud instead of local Docker? No installation. No port conflicts. No "works on my machine" issues. Provision in seconds, run your agent, suspend when idle. $50 in free credits. No card required.

AI agents need persistent environments so that they can install packages, process files, run for hours and pause when done. Most cloud sandboxes lose state and are meant for ephemeral use. Runloop + @OpenAIDevs Agents SDK upgrades the basic sandbox experience. Pause your agent. Resume later with all state, files and processing intact.