autopilot

Autonomous feature development from a PRD automates end-to-end implementation by using your PRD as the single source of truth and a persistent progress file to coordinate multi-task work across iterations. It drives design, coding, testing, and validation automatically.

Fresh-context execution delegates development tasks to subagents to ensure isolated, context-clean execution. This approach prevents context window pollution and enables reliable retries for complex, multi-task engineering efforts requiring iterative refinement.

Progress checkpoints maintain a per-project progress file that records current iteration, task status, and iteration logs. Git-based checkpoints create restore points and git tags after successful tasks, ensuring safe rollback and deterministic task execution.

Yes, PRD-driven autonomous development supports multi-task engineering efforts by applying deterministic task execution, per-task isolation via subagents, progress checkpoints, and strict completion verification to satisfy your project requirements.

A git repository is required to support git-based checkpoints, which create restore points and git tags after successful tasks for safe rollback. This ensures reliable state persistence across iterative development cycles.

Use subagent-based autonomous development for multi-task engineering efforts that require iterative refinement across fresh contexts and checkpoints. It is ideal when you need deterministic task execution and per-task isolation for complex PRD-driven features.