A codebase can keep running while becoming increasingly risky to change. Common warning signs include several functions doing the same job, components handling unrelated tasks, patches layered over old behaviour and dependencies that haven't been checked since launch. Deleting apparent duplicates without understanding what uses them can break features customers still rely on.
I start by establishing which version is live, what still works and where the failures occur. A paid diagnostic can determine whether the sensible response is a small repair, controlled refactoring or a wider restructure. When cleanup is justified, changes should be tested against important journeys such as signing in, saving data, submitting enquiries and processing payments.
For applications built largely through prompts, my vibe coding repair service also considers release history, connected services and production risks. Repeated regressions may also indicate AI app technical debt that needs addressing before further development.