We start with a full audit of the codebase: architecture, dependencies, data flows, and the security surface, so we know exactly what's fragile before touching anything.
From there, we close the gaps that matter most: adding real automated test coverage, fixing security issues (authentication, access control, exposed secrets, injection risks), and refactoring the areas that are riskiest to change, not simply the ones that are old.
We also document what the code actually does, since AI-generated code rarely explains its own decisions, and we set up monitoring so the next issue gets caught before your users find it.