A real 14-minute run, sped up. Left: ap run; right: the live watch report.

Project Autopilot (`ap`) runs a team of AI coding agents on your repository. You write what you want in one sentence. Autopilot gives each step to a different agent and checks every result before it moves on:

Planning → Plan Review → Implementation → Code Review → Gate (your tests) → Verification → Final Review → you commit

• A planner writes the plan and a task list.
• A plan reviewer checks the plan. The planner fixes it until the reviewer approves.
• An implementer codes the tasks, one task per session.
• A code reviewer checks each phase. The implementer fixes what it finds.
• Your test suite (the gate) runs after each phase.
• A verifier checks the phase against the plan and the test results.
• A final review checks the whole change once at the end.

Each role can be a different CLI and model, for example Claude Code for planning and review and a free opencode model for coding. The reviewers run read-only, and **Autopilot never commits or pushes**: when the mission is done, the changes wait in your working tree for you to review and commit.

**Works with:**

• SpecKit — if your project uses SpecKit (`.sp