Short, direct resources for teams evaluating technical debt, codebase risk, and modernization work.
Direct answer
This knowledge base explains what legacy code risk looks like, how technical debt assessment works, and how repository-level analysis differs from ordinary static analysis or AI code review.
Legacy code is code that is hard to change safely because it lacks tests, documentation, ownership clarity, or architectural boundaries. It becomes expensive not because it is old, but because every change carries delivery risk.
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analysis is the process of examining a repository to identify fragile modules, technical debt, architecture problems, outdated dependencies, security issues, and maintainability bottlenecks before refactoring begins.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 technical debt assessment evaluates how much hidden engineering drag exists in a repository, where it sits, how risky it is, and what work should be prioritized to reduce outages, slowdown, and rewrite pressure.
A codebase audit is a structured review of a repository that identifies technical debt, security issues, architectural bottlenecks, dependency risk, and maintainability problems so a team can plan safer changes.
AI code review usually evaluates a pull request, file, or snippet. Repository-level analysis goes further by mapping architecture, technical debt, security exposure, and maintainability risks across the entire codebase.
A repository health check is a high-level review that shows whether a codebase is stable, maintainable, secure, and ready for new work. It highlights the modules, dependencies, and architecture decisions that create the most change risk.
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.
A software risk assessment reviews a repository to determine how likely the codebase is to cause outages, delivery delays, security exposure, or modernization cost. It connects technical signals to practical engineering risk.