Warp launches Factories, an out-of-the-box AI software factory

Companies are still figuring out exactly how software development should work in the AI era, but one early answer is the so-called software factory — essentially an agent loop built around the traditional stages of software development. The approach has become a popular way for companies to remake their engineering organizations for the AI era, and on Tuesday, Warp introduced a system meant to make it easier: Warp Factories.

Operating as an infrastructure layer, Warp Factories gives companies a simple environment for deploying agents and a roadmap for how to use them. Companies are already finding success with the factory model without Warp’s help — Stripe has been particularly public about its progress, building a “minions” system to automate development within its own codebase, and Ramp has developed a background agent that monitors its own code after deployment.

As Warp CEO Zach Lloyd sees it, Warp Factories’ target market is smaller companies that lack the resources to build a system like this from the ground up. “[If you look at] things like running your agents in the cloud and steering those agents as they run, or bringing the work that they’re doing into your local environment, or setting up memory that goes across those agents, or setting up evals that go across those agents — it’s actually a huge infrastructure undertaking to do this right,” Lloyd told TechCrunch.

In Warp Factories, the architecture is already built out of the box, with many of the hardest decisions already made. The system is based on the standard phases of software development — triage, specification, implementation, review, and verification — but the agentic approach means any of those steps can be automated. Users can choose their own coding model and harnesses: the system works as well with Codex as with Claude Code, and integrates with ticketing tools like Linear and Jira and messaging tools like Slack and Teams to plug into existing workflows.

Beyond shipping code, Warp Factories also gives managers tools to track how the factory is performing: since all the agents run in the same environment, it’s easy to compare performance across configurations and keep an eye on overall token spend. The system also supports self-improvement loops that let it optimize itself, automating management of the process.

Even so, Warp Factories isn’t built to replace software engineers outright — just to give them an easier way to work alongside the new agentic workforce. Lloyd said Warp itself automates roughly 30% to 35% of its own tasks on a weekly basis, and expects that share to keep climbing as models, context, and harnesses improve.

Why it matters

Warp is betting that smaller companies without Stripe- or Ramp-level engineering resources will pay for ready-made agentic infrastructure rather than build their own software factory from scratch.