Factory AI

Factory AI is an AI tool that provides AI coding agents called Droids for engineering teams and enterprises that want autonomous agents to design, build, review and ship software while humans set goals and policies. Factory calls this agent-native software development.

What can Factory Droids do?

Droids turn team intent and codebase context into validated production changes. They run from the desktop app, terminal, web, CLI and an SDK, locally or as cloud background agents. Factory is model-independent: it supports leading frontier and open-weight models (GPT-5, Claude Opus and Sonnet, Gemini and more), and Model Routing sends each task to the best model for quality, speed and budget.

What else is included besides the coding agent?

• Code Review on every pull request with inline comments.
• AutoWiki: a living wiki per repository that stays current as code changes.
• Automations, Mission Control for real-time mission tracking, and Agent Readiness scoring per repo.
• Droid Computers: dedicated hardware, local or Factory-managed, with persistent state across sessions.
• Adoption and consumption analytics per developer and team.

Factory AI pros and cons

Pros: it covers the whole loop (design, code, review, deploy), from the first task description to the merged pull request, avoids model lock-in, and adds enterprise governance with SSO, SAML/SCIM, zero data retention, audit logs and on-premise options. Cons: there is no zero-charge individual tier, usage limits depend on the tier, it is aimed mainly at teams, and agent changes still need human review.