A direct way to see where a large codebase is risky, brittle, or slowing delivery.
Direct answer
Legacy code analysis is the process of examining a repository to identify fragile modules, technical debt, architecture problems, outdated dependencies, security issues, and maintainability bottlenecks before refactoring begins.
A useful analysis goes beyond linting. It should show structural hotspots, dependency concentration, high-churn areas, single points of failure, risky ownership patterns, and modules where small edits are likely to cause regressions.
Static analysis tools mainly report rule violations and code smells. Legacy code analysis adds repository-level context so teams can understand why a module matters, how it affects delivery, and what should be modernized first.
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