AI Project Management for Developers

AI project management for developers, not just another chat window

Coding agents are powerful, but on their own they leave you with scattered chat threads, half-finished tasks, and no record of what changed or why. AutoPilot adds the missing layer: a local-first AI Dev Control Center that runs project management for developers working with AI. It tracks every unit of work as a ticket, captures approvals, keeps an auditable log, and preserves project memory across sessions — so your AI development behaves like a real engineering team instead of a series of disposable conversations.

The model is simple and deliberate. Claude develops — it writes and implements the code. Codex reviews — it validates and corrects the work. AutoPilot manages — projects, tickets, approvals, workflow, memory, logs, and execution. The human stays in control at every gate. AutoPilot is not a replacement for Claude or Codex; it is the management surface around them. Explore the full AI Dev Control Center or return to the AutoPilot homepage to see how the pieces fit together.

Tickets, approvals, and status that map to how engineers actually work

Good project management gives every task an owner, a state, and a clear definition of done. AutoPilot applies that discipline to AI development. Work is broken into tickets, each one moving through explicit states as your agents pick it up, implement it, and submit it for review. Nothing merges silently — changes wait at an approval gate until you sign off, so the agents accelerate the work without taking the decisions out of your hands.

• Tickets that carry scope, status, and history for every change.
• Approval gates so a human reviews and authorizes before anything lands.
• Live status across active, blocked, and completed work.
• Detailed execution logs you can audit after the fact.
• Persistent project memory that survives across sessions and tasks.

If you want to see the development and review halves in detail, read about the Claude development workflow and how Codex code review closes the loop.

Local-first: your code and your project data stay on your machine

AutoPilot is a desktop application that runs where you work. Your repositories, tickets, logs, and memory live on your own machine — there is no requirement to ship your source into a third-party cloud to get coordinated, multi-agent project management. That keeps sensitive code under your control while still giving you the structure, traceability, and oversight that serious teams expect.

The desktop app is a free download, with a Pro tier for teams that need more. When you are ready, download AutoPilot free, watch the product demo, or follow the step-by-step getting started guide to wire AutoPilot into your existing AI development workflow.

A workflow you can trust as projects grow

As scope grows, ad-hoc prompting stops scaling. Structured tickets, enforced reviews, and durable memory are what let an AI-assisted codebase stay coherent over weeks and months rather than degrading into guesswork. AutoPilot gives you that backbone today and keeps adding to it — see what is shipping next on the product roadmap.