autopilot-code

You can automate the end-to-end code pipeline by orchestrating init-plan, refine-plan, execute-plan, run-test, and final-report stages in a single repeatable workflow with strict QA loops.

Code lifecycle orchestration with QA gating coordinates deterministic plan creation, execution, and testing while applying mode-specific autonomy controls to ensure strict quality assurance loops are satisfied.

You execute code auditing and debugging pipelines by selecting mode-specific behaviors that apply strict QA depth and autonomy gating throughout the plan refinement, execution, and testing phases.

Yes, autonomous code execution supports dev, audit, and debug modes with mode-specific behavior, QA depth, and autonomy controls to determine how plans are refined and executed.

You track decisions and generate reports for automated code pipelines by logging statuses and decisions to pipeline_summary.md and managing plan artifacts throughout the orchestration workflow for audits.

The best way to start an automated code planning workflow is to run init-plan with a task description, then let the pipeline autonomously refine, execute, test, and finalize the report in your selected mode.