cocosearch-refactoring

Plan a safe code refactor by mapping the target's dependency graph and performing impact analysis to identify downstream effects, tests, and risks before proposing changes. This approach ensures safe migration by validating each change gate before moving forward.

Impact analysis in codebase refactoring maps downstream effects, affected files, and test coverage using semantic search. You need this process when planning large-scale code refactors to identify risks and dependencies before executing any changes.

Execute a step-by-step code refactor by following a deterministic, gate-based plan that sequences leaf-first changes, updates tests at each stage, and performs cleanup after validation. User confirmation is required at each step to ensure safe migration.

Dependency graph mapping for safe migration works in any codebase where you can analyze the refactoring target and its surrounding dependencies. It reveals affected files and test coverage to support step-by-step execution with validation gates.

The best way to identify refactoring targets and their surrounding dependencies is analyzing the project with semantic search to reveal the dependency graph and map downstream effects. This impact analysis exposes tests and risks before proposing changes.

Step-by-step refactoring plans require user confirmation at each stage and depend on accurate dependency and impact analysis to map risks. If the initial project analysis misses downstream effects or test coverage gaps, the gate-based validation may not fully prevent breakage.