Joined January 2025
- Tweets 104
- Following 93
- Followers 56
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35 Photos and videos
Jun 9
A year of RL workloads on Runloop Devboxes, now open source as North Mini Code. Congrats @cohere on your first agentic coding model. This is what Runloop is built for: powering the next wave of AI. Excited for what comes next!
Introducing Cohere's first open-source coding model: North Mini Code
Small & efficient, designed for agentic performance and built for community input.
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May 27
So excited to work with @trajectorylabs as a sandbox partner. They're bringing new ideas and flawless execution to the Continual Learning space and we can't wait to watch them go 🚀
May 27
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.
We are a research lab and product company building the platform for Continual Learning.
Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs
We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.
We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with.
We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.
AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
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Runloop Developer retweeted
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
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Vibedeploy with Stripe Projects, now available to everyone: projects.dev/.
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Apr 29
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-release…
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Apr 24
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 👇
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Apr 22
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…
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Apr 16
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-rese…
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Apr 16
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.
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Apr 16
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-rese…
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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 🧵
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Apr 15
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.
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Apr 15
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.
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Apr 15
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-open…
OpenAI Agents SDK Guide: developers.openai.com/api/do…
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