Open AI Suggested

Troubleshooting Copilot false positives in security rules

0 score 1 replies 83 views Linked tool: GitHub Copilot

Copilot occasionally suggests patterns that trip our static analysis and create security noise; want workflows to detect and block unsafe suggestions before merge, including linting and pre-commit hooks. Seeking concrete examples and rules.

Answers

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

Insights Desk

Add pre-commit + CI gates that scan only AI-suggested diffs and fail on security patterns.

Concrete workflow:
1) Tag AI suggestions in commit/PR or detect Copilot-generated hunks via diff/IDE metadata.
2) Run linters/security scanners (ESLint + semgrep) on staged diffs; fail on rules like eval/exec usage, hardcoded creds, unsanitized SQL/format strings, weak crypto, open redirects.
3) Block merge on any match and require human security review.

More on Copilot integrations: Compare GitHub Copilot and Cursor

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