code-review-graph-refactor

Safe refactoring uses a dependency graph to analyze reachability and impact radius before applying changes. This approach previews rename edit lists and validates affected call paths, preventing unintended breakage during dead code removal or symbol renaming.

Impact-aware planning is a refactoring strategy that uses a dependency graph to reason about affected symbols and call paths. It identifies the blast radius of a change before execution, ensuring safe code modifications during function decomposition or dead code cleanup.

Dead code detection identifies unreferenced code paths by analyzing the dependency graph for reachability. This supports safe cleanup work by validating scope and impact before removing unused functions or decomposing large code blocks.

Graph-first refactoring does not require manual searching because it uses dependency graph context to reason about affected symbols and call paths. The workflow validates scope and impact automatically, previewing suggestions before applying changes.

Decomposing large functions safely requires using a dependency graph to validate scope and understand the blast radius before making changes. Planning with an edit list preview and verifying after applying changes keeps the impact radius controlled.

A dependency graph is needed for refactoring tasks like renaming symbols, removing dead code, or decomposing functions when you must prevent unintended breakage. It provides the minimal context required to validate impact and affected-flow before applying changes.