superpowers

You can enforce RED-GREEN-REFACTOR in your development workflow by triggering automated task breakdown and policy execution during implementation. This structured methodology ensures you write failing tests first, implement minimal code, and then refactor to reduce complexity.

A two-stage code review process evaluates code across design, implementation, and testing phases using configurable severity thresholds. It improves code quality by systematically blocking or flagging critical issues before merging, ensuring rigorous validation.

To plan a new feature, prompt the AI to plan the implementation, which triggers brainstorming, automated task breakdown, and branch management. This process structures the feature from initial design through testing, enforcing YAGNI principles.

Yes, you can configure severity thresholds to block or flag critical issues during the two-stage code review. This policy enforcement ensures that severe problems are identified and prevented from merging without manual intervention.

You should avoid an AI-driven agile workflow if your project lacks clear testing phases or requires ad-hoc implementation without structured branch management. This approach enforces strict RED-GREEN-REFACTOR methodologies that may not suit rapid prototypes.