refactor-modularization

Safe modularization involves identifying candidate modules, restoring architectural boundaries, and producing incremental, reversible change plans that maintain current behavior throughout the process.

The best approach is generating two to three concrete, incremental refactor options with explicit trade-offs, allowing you to decompose cross-dependent code while managing risk and maintaining reversibility.

Invariant capture during architectural cleanup identifies and records stable inputs and outputs before refactoring, ensuring that incremental decomposition and boundary restoration do not alter the system's fundamental behavior.

Yes, you can generate rollback strategies for code-splitting by identifying coupling hotspots first, then producing reversible change plans that define explicit rollback steps for safe delivery in high-risk areas.

You need risk-aware refactor options when decomposing large, cross-dependent codebases where reducing coupling and complexity requires understanding scope, effort, and reversibility trade-offs to avoid destabilizing behavior.