Modernize the right modules first instead of guessing where the real blockers live.
Direct answer
Legacy code modernization is the process of reducing the parts of a system that make change slow, risky, or expensive. The best modernization plans start with repository-level evidence, not assumptions.
Teams need to know which modules are brittle, which dependencies are outdated, where architecture is tightly coupled, and which areas create the highest maintenance burden. Without that context, modernization becomes expensive cleanup without clear leverage.
Modernization is about improving changeability and reducing risk incrementally. It does not always mean a rewrite. Often the highest-return work is isolating hotspots, reducing coupling, and removing the debt that blocks roadmap work.
Useful outputs include a prioritized modernization backlog, high-risk modules, dependency upgrade themes, and AI-supported explanations of why those areas matter.