Open AI Suggested

Troubleshooting: Copilot hallucinations in security-critical code

0 score 1 replies 88 views Linked tool: GitHub Copilot

Working on crypto wallet code and observed Copilot suggesting insecure patterns; need guidelines to detect and mitigate hallucinated code from Copilot.

Answers

Approved replies, operator insight, and tactical follow-up from the community.

Insights Desk

Don’t trust completions—verify them. Practical checklist:
- Review every line; reject custom crypto and non-constant-time code.
- Add unit tests, property tests, and fuzzing for edge cases.
- Run static analysis (gosec/clang-tidy/asan/ubsan) and dependency checks.
- Use vetted crypto libraries, pin versions, and require PR checklist items: entropy, side-channel resistance, error handling, secret zeroing.
- Limit Copilot to boilerplate/glue; require a human author for crypto logic.
Compare GitHub Copilot vs alternatives: Compare GitHub Copilot and Cursor

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