feature-lifecycle

Multi-agent workflow orchestration for feature development coordinates Product Manager, Architect, Developer, Reviewer, Tester, and Orchestrator roles across the full delivery lifecycle on GitHub. It removes manual coordination by tracking phase transitions, retry counters, and completion criteria with controlled human checkpoints.

Yes, you can automate pull request governance from specification to merge. The workflow manages specification issues, draft pull requests, review comments, and human approval checkpoints in a repeatable process, ensuring repository-safe operations for branch creation and code review.

Lifecycle state tracking for code review and testing uses built-in controls to monitor phase transitions, retry limits, and escalation paths. It tracks completion criteria across spec review, design review, implementation, testing, and documentation updates to ensure structured delivery.

To keep documentation synchronized during feature implementation, the workflow coordinates Documentation roles alongside development and testing phases. It ensures documentation updates are tracked through lifecycle state transitions and kept in sync with GitHub state and merged code.

Multi-agent orchestration requires controlled human checkpoints for draft pull requests and spec reviews. While agents handle implementation and testing, the workflow governs phase transitions and includes escalation paths with retry limits to ensure human approval before merging.

You should not use automated feature lifecycle orchestration for GitHub projects that lack structured feature requests or draft issues. It requires lifecycle state tracking, retry limits, and transition metadata to function, making it unsuitable for simple patches outside multi-agent delivery workflows.