What to Check When an AI-Built Application Breaks

When an application built with AI tools breaks, begin by reproducing the issue. Record the steps, the environment and the exact behavior rather than asking a tool to rewrite the area immediately.

Trace the request through the interface, application logic, API calls and data layer. Check browser and server errors, recent changes, environment settings and dependency versions. A visible symptom may come from a different layer than the one the user sees.

Generated code can make assumptions about libraries, schemas or authentication that do not match the project. Verify those assumptions against the actual codebase and runtime. Review nearby code as well as the failing line; a quick patch can create a second failure elsewhere.

Once the cause is understood, make the smallest appropriate change and add a test or repeatable check for the original failure. Use AI assistance to explore options, but validate any proposed fix in the real application.

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