swarm-implement

You can manage complex multi-file changes using a swarm-like workflow that coordinates parallel exploration, scoped planning, and validation gates. This approach breaks down feature work, bug fixes, and refactors into structured phases to ensure quality across the codebase.

A swarm-driven workflow uses parallel subagents to explore tasks, identify patterns, and surface risks before scoped planning. It enforces strict risk-aware gating and independent reviewer checks during the implementation and validation phases to maintain quality.

Yes, you can use parallel exploration for bug fixes and refactoring tasks. The workflow maps the codebase across subagents to identify patterns and surface risks, followed by scoped planning and selective deep validation to ensure the changes are safe.

Validate code changes during multi-file implementation by applying strict risk-aware gating and selective deep validation. The workflow includes an independent reviewer or critic phase to check the implementation where risk justifies it, ensuring quality before completion.

Use an independent reviewer phase when risk justifies it, such as during complex multi-file changes or critical refactors. The workflow applies strict risk-aware gating to determine when an independent critic is needed to validate the implementation quality.