What actually happens when AI builds an app?
Follow an AI app build from your request to file changes, packages, database rules and deployment. Learn what to inspect before trusting the result.
AI building is using a coding assistant to turn instructions into app changes. Follow how context, files, checks and deployment fit together.
Start with the guide that matches your question or the error you can see. Each guide below names the problem, gives checks you can run, and links to related reading.
Start with the change, not the screenshot. Ask which files changed, which packages were added and whether a database migration is proposed. A page can look right while its data rules are wrong. Keep the previous working version available so you can compare the behavior rather than asking for another broad rewrite.
Teaching example: your app already stores a record's status, but the builder proposes a second status column. This is an illustration, not a MessyDev customer incident.
No. Compilation checks the errors covered by your build configuration. It does not prove that a second account cannot read the first account's records, or that a checkout return means payment succeeded. Write down the expected result before testing: who can perform the action, what should persist after refresh, and what a rejected request should show.
Use the app-building guide for the request-to-files sequence and the coding-tools guide for context and tool calls. If the app already fails, move to Troubleshooting rather than changing several unrelated files at once.
Follow an AI app build from your request to file changes, packages, database rules and deployment. Learn what to inspect before trusting the result.
Understand context windows, tool calls and build checks in AI coding tools. Learn why the same model behaves differently and how to verify its changes.
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