AI DEV CONTROL CENTER
The AI Dev Control Center for Claude and Codex
AutoPilot is the control center for AI development. It manages projects, tickets, approvals, logs, and memory while Claude develops and Codex reviews — so you stay in control of every decision.
What an AI dev control center actually does
An AI dev control center is the single place where your AI development workflow is planned, executed, reviewed, and recorded. AutoPilot is a local-first desktop application that sits above your coding agents and orchestrates them. It does not write your code in place of Claude, and it does not replace Codex when work needs validation. Instead, it manages the entire loop around them: it breaks work into tickets, routes each task to the right agent, holds execution at approval gates, and keeps a durable record of every decision and change.
The operating model is deliberate. Claude develops — it writes and implements the code. Codex reviews — it validates the work and corrects defects. AutoPilot manages — projects, tickets, approvals, workflow, memory, logs, and execution. You remain the decision-maker at every gate, approving or rejecting changes before they land. The result is a controlled, auditable pipeline rather than an opaque hand-off to a single model.
One control center, two agents, one human in charge
Most AI coding setups stop at a single chat window. AutoPilot connects the parts of real software delivery into one workspace so a task moves from idea to reviewed change without losing context. Each stage is observable and reversible, and nothing is executed without your sign-off.
- Projects and tickets — structure work into trackable units instead of ad-hoc prompts.
- Approvals — review and gate every change before it is applied to your codebase.
- Memory — persistent project context so agents recall decisions, conventions, and constraints.
- Logs and execution — a complete, inspectable history of what each agent did and why.
- Local-first — your code stays on your machine, not on a third-party server.
To see how the development side fits in, read about the Claude development workflow, and for the validation side see how Codex code review closes the loop. Together they form the wider AI software development workflow that the control center coordinates.
Local-first, built for control
AutoPilot runs as a desktop app, so source code and context live on your hardware. That keeps sensitive work off shared infrastructure and gives you direct visibility into every action. The free download covers the core control-center experience, and a Pro tier adds capabilities for teams and heavier workloads. Explore the project management features for developers, then start from the getting-started guide.
Ready to try it? Visit the AutoPilot homepage, download the desktop app for free, or watch the demo to see the control center in action.
Frequently asked questions
Run AI development from one control center.
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