Debug AI-Generated Code with Bug Report Packets
Turn messy errors from AI-built apps into structured debugging packets for Cursor, Claude Code, Codex, ChatGPT, Lovable, Bolt, Replit Agent, or human developers.
When AI-generated code breaks, do not paste only the last error line into another prompt. A useful debugging handoff includes the exact error, expected behavior, actual behavior, reproduction steps, recent AI changes, and what you already tried.
The Bug Report Packet Builder packages that context locally. It fits Cursor, Claude Code, Codex, ChatGPT, Windsurf, Lovable, Bolt, Replit Agent, and human issue trackers.
Why a packet works better than a raw error
Raw errors are usually incomplete. They rarely explain:
- What should have happened
- What the user actually did
- Whether the bug appears locally, in preview, or in production
- Which AI edit happened just before the bug
- Which fixes were already attempted
Without that context, an AI agent may rewrite unrelated files, repeat a failed fix, or solve the wrong problem.
What to include
Use this minimum packet:
| Section | What to write |
|---|---|
| Context | Tool source, bug type, environment |
| Error | Exact console error, stack trace, build log, or API response |
| Expected | The behavior that would count as fixed |
| Actual | The broken behavior users see |
| Reproduction | Numbered steps from a clean state |
| Recent AI change | Prompt summary, changed files, or agent note |
| Already tried | Commands, rebuilds, edits, or prompts already attempted |
For API bugs, include method, URL, headers, payload, response status, and server log. DevCove's API debugging guide can help you keep that evidence tidy.
Use the packet as the next prompt
After filling the packet, ask for a small safe patch:
Use this bug report packet to identify the likely cause.
Ask for missing information before guessing.
Propose the smallest safe patch.
Do not rewrite unrelated files.
Explain how to verify the fix.
That wording keeps the next AI pass grounded. Once the bug is fixed, return to the AI Coding Workflow Checklist and verify build, env vars, review gates, and deploy behavior before shipping.