What problem does it solve?
Safeguard protects risky refactors by capturing the current behavior of a module before any code changes begin, so you can avoid breaking working logic and recover quickly if surgery goes wrong.
Core Features & Use Cases
- Characterization Tests: Creates tests that document what the code does today, including edge cases and existing bugs.
- Boundary Markers: Adds clear in-source markers so legacy code, future bridges, and high-risk functions are easier to protect.
- Config Freeze and Rollback: Preserves current configuration files and creates a git rollback point before refactoring proceeds.
- Use Case: A developer is about to refactor an untested module during a surgical cleanup and needs a reliable safety net before touching implementation details.
Quick Start
Ask the AI to run safeguard on the target module before refactoring so it can create characterization tests, mark boundaries, freeze config, and establish a rollback tag.