Warp is turning its AI coding product toward a broader developer-infrastructure problem: how teams should organize multiple coding agents around real engineering work.

The company introduced Warp Factories on Tuesday as a system for building and operating what it calls AI software factories. Rather than presenting the product as a single assistant, Warp frames it as an infrastructure layer where teams can define repositories, agents, models, permissions, and checkpoints in one configuration.

The approach maps agent work onto familiar software stages, including triage, specification, implementation, review, and verification. TechCrunch reported that Warp sees the target market as teams that want the factory model without building an internal orchestration stack from scratch. The official request-access page shows examples for factories as code, review agents, chat, ticket, and source-control integrations, and status updates flowing back to the systems where work began.

The launch follows a broader shift among engineering organizations that are experimenting with agent loops instead of one-off coding prompts. Stripe has described its in-house Minions system for end-to-end coding tasks, while other companies have published similar background-agent work. Warp is trying to make that pattern a packaged product rather than a bespoke internal platform.

The near-term question is whether teams can trust these workflows enough to automate more than narrow tasks. Warp's design keeps human review and checkpoints in the process, which may matter as coding agents move from demos into everyday engineering queues.