lfg

Autonomous feature delivery automates the workflow from planning through shipping by orchestrating planning, deepening, execution, review, and release stages continuously. You provide a feature description, and the system drives the entire engineering process without manual handoffs.

Yes, an autonomous engineering workflow applies to bug fixes and improvements in software projects. It coordinates the same end-to-end process—planning, execution, review, and shipping—ensuring continuous execution across various types of code changes.

Orchestrating code review and feature development without manual handoffs is achieved by chaining the workflow stages: plan, deepen plan, execute work, review changes, and ship. This eliminates manual intervention by applying guardrails and optional validation at each stage.

Yes, autonomous workflow execution includes guardrails and error handling to satisfy orchestration requirements. It features optional persistence and validation at each stage, and attempts to clean up slash commands if the persistence module is available, otherwise continuing automatically.

You verify changes during autonomous feature delivery using built-in guardrails and testing. The workflow includes browser tests and optional video walkthroughs for verification, allowing you to validate execution results before the final shipping stage.

No dependencies are required to start an autonomous engineering workflow. The core orchestration runs independently, though it can optionally leverage a persistence module to clean up slash commands if available, otherwise it continues automatically without it.