If you’ve been following the AI coding agent space at all, you know the tools have gotten ridiculously good at writing code. But here’s the dirty little secret nobody talks about enough: managing those agents at scale is still a mess. You spin up one agent here, another there, lose track of what they’re doing, and suddenly your team’s workflow looks like a plate of spaghetti. That’s precisely the itch [Warp Oz](https://www.warp.dev/oz) is trying to scratch.
Warp, the company behind one of the most popular modern terminals used by over 700,000 developers at places like Docker, Ramp, and Peloton, just launched Oz on February 10th. It’s been picking up steam fast across [Product Hunt](https://www.producthunt.com/products/warp), TechCrunch, and [EZ Newswire](https://www.eznewswire.com/newsroom/warp-oz-orchestration-platform-cloud-coding-agents), and honestly, the attention feels earned.
So what is Oz, exactly? It’s a cloud-based orchestration platform that lets you run, manage, and govern hundreds of AI coding agents in sandboxed Docker environments. You can launch agents interactively through the Warp app or programmatically via their REST API and SDK. Need to run 200 agents in parallel across multiple repos? Oz handles that. Want to schedule a recurring workflow that cleans up feature flags every Friday at 3pm? Set it up with a cron schedule and forget about it. The whole thing comes with audit trails, access controls, and shareable session links baked in, so your team always knows who launched what and why.
What really caught my attention is how Warp is dogfooding this internally. They mentioned that Oz is now writing around 60% of their own PRs. They’ve built a fraud detection bot that runs every eight hours, scans for suspicious patterns, and automatically creates pull requests to block abuse. In one single run, it caught nearly $60K worth of fraudulent usage. That’s not a demo, that’s a production system doing real work.
The platform supports all the heavy-hitting models like Claude, Codex, and Gemini, and works with industry standards like Skills for quick onboarding. You can host environments on Warp’s infrastructure or self-host for enterprise setups with custom security requirements. The fact that Oz works as a standalone product, not just a feature inside Warp Terminal, is a smart move. You don’t have to buy into the whole Warp ecosystem to benefit from the orchestration layer.
For anyone curious about getting started, Warp is offering 1,000 bonus cloud agent credits to Build, Business, and Max users throughout February. The [documentation](https://docs.warp.dev/agent-platform) is solid, and you can poke around the [GitHub repo](https://github.com/warpdotdev/Warp) to see how the broader Warp ecosystem fits together. There’s also a detailed [launch blog post](https://www.warp.dev/blog/oz-orchestration-platform-cloud-agents) from CEO Zach Lloyd that walks through the design principles and real-world use cases.
The bigger picture here is interesting. We’ve spent the last couple of years figuring out how to make individual AI agents smarter. Oz is betting that the next frontier is about making teams of agents manageable, observable, and governable. If your team is already running multiple coding agents and struggling to keep it all organized, this is worth a serious look.
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