Three-step process for automated bug fixing
Fixing code errors with ChatGPT Codex can be done in the following steps:
- misplaced: First make sure there is a clear description of the error, including the error log, steps to reproduce it, or the location of the relevant code file. For example, "Fix JWT token expiration validation failure in user login module"
- Mandate: Select Codex in the ChatGPT sidebar, connect to the target codebase and then enter a directive containing detailed context in the format of "Fix [specific problem description] in [module/filename], with the error manifesting itself as [specific phenomenon]"
- Validation of results: Codex will provide change reports containing test logs focused on validation:
- Unit test pass rate
- Regression test coverage
- Code style consistency (result of running linter automatically)
Best practice is to pre-configure the testing process via AGENTS.md, e.g. by requiring all fixes to pass pytest coverage checks. For complex bugs, a phased fix strategy can be adopted: first let Codex generate a problem analysis report, then issue targeted fixes.
This answer comes from the articleChatGPT Codex: Intelligence for Automating Software Engineering TasksThe
May not be reproduced without permission:AI productivity tools " How to automatically fix known bugs in the codebase with ChatGPT Codex?
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