Companies are still figuring out how software development should function in the age of AI, but one emerging solution is the "software factory." Essentially an agent-driven loop built around the traditional stages of building software, this approach has become a popular strategy for reshaping engineering teams to fit the AI era. Now, a new offering from Warp could make that shift much simpler. On Tuesday, the AI coding company unveiled Warp Factories, a system designed to streamline the creation and management of AI-powered software factories. Acting as an infrastructure layer, Warp Factories provides companies with a straightforward environment for deploying agents, along with a clear playbook for putting them to use.

To be clear, plenty of companies are already finding success with the factory model without any external help. Stripe, for instance, has been notably vocal about its technical achievements, building a "minions" system to automate development within its own codebase. Ramp has also made strides, developing a background agent that can monitor its own code after deployment.

From Warp CEO Zack Lloyd's perspective, the main audience for Warp Factories will be smaller companies that lack the resources to build such a system from scratch. With Warp Factories, the architecture comes pre-built, with many of the toughest decisions already handled. The system follows the standard phases of software development—triage, specification, implementation, review, and verification—but its agentic design means any of these stages can be automated. Users can pick their preferred coding model and tools as needed; the system works just as well with Codex as it does with Claude Code. It also connects with ticketing platforms like Linear and Jira, and messaging tools like Slack and Teams, aiming to fit smoothly into existing workflows.

Beyond simply shipping code, Warp Factories gives managers the ability to track how well the factory is performing. Since all agents operate in the same environment, comparing performance metrics across different setups is straightforward, and keeping tabs on overall token spending is easy. The platform also supports self-improvement loops to refine the entire system, automating the management of the process itself. Even so, Warp Factories isn't designed to replace software engineers entirely—it's meant to give them a better way to collaborate with the new agentic workforce. In Lloyd's own experience, there are still plenty of tasks that need a human at the wheel.