AI changed my code and now nothing works
This can happen when a tool fixes a symptom and rewrites the surrounding structure. I help trace the real break before more changes pile up.
Common AI code problems
The code may exist. The project may even look close. But the next step gets hard when the AI is waiting for instructions and the person using it does not know what to ask for.
This can happen when a tool fixes a symptom and rewrites the surrounding structure. I help trace the real break before more changes pile up.
Almost working is a dangerous stage. The project needs a technical map: what is real, what is missing, and what must be handled before use.
Repeating bugs usually point to a deeper design issue, shared state problem, bad assumption, or a fix being applied in the wrong place.
AI-assisted projects can grow fast. I help identify the active path, dead pieces, duplicate logic, and files that control the real behaviour.
Before real users touch a project, it should be checked for exposed secrets, unsafe admin paths, weak assumptions, and risky deployment choices.
That is normal. AI can help create code, but a human developer can decide what the code means, what should change, and what needs to happen next.
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That usually means the request is aimed at the visible error instead of the source of the failure. The project needs diagnosis.
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That is exactly where a project review helps. You do not need to know the technical cause before asking for help.
Example scenarios
A project starts well, then every fix creates another bug. I help identify the actual failure path instead of letting the AI keep rewriting files.
A project appears almost finished, but the owner does not know what is missing before real users see it. I help separate working parts from risky or unfinished parts.
If one of these sounds like your project,