What AI says about CodeQL

Part of GitHub

Since Jul 5Updated Oct 30, 2026Based on 38,291 AI responsesReviewed by

How we measure

AI summary

CodeQL is GitHub's semantic code analysis engine that queries code as data to identify security vulnerabilities. It is regularly recommended for teams seeking static analysis tools that comment on pull requests, review open-source contributions, and secure CI/CD pipelines.

Mentioned in

2%

of AI answers about CodeQL and its rivals

  • ChatGPT2%
  • Google AI Mode1%

Topics where AI mentions CodeQL

How prominently AI mentions CodeQL

  • Named first6%
  • 2nd or 3rd37%
  • Later57%

Insights for CodeQL

  • Gap between platforms: The platform gap for CodeQL in AI-Powered Code Review & SAST Tools narrowed to 24.9 points, ChatGPT Search ahead

    ChatGPTChatGPT46%Google AI ModeGoogle AI Mode21%
  • Gap between platforms: The platform gap in AI Code Quality & Review Platforms widened

    ChatGPTChatGPT30%Google AI ModeGoogle AI Mode14%

How AI rates CodeQL

Common descriptions

deep semantic analysis · native · github-native · github-centric · security-focused · deep security analysis

Tone of AI’s statements about CodeQL

  • Positive54%
  • Neutral41%
  • Mixed4%
  • Negative1%

CodeQL in AI answers

Question: Best code quality + coverage for large repos?

Google AI ModeOct 28, 2026

GitHub Advanced Security (GHAS) / CodeQL : Excellent for deep semantic code analysis at scale

ChatGPTSep 23, 2026

CodeQL — add this for deep security/data-flow analysis, especially if you’re on GitHub.

Question: What is the best SAST (Static Application Security Testing) tool that uses AI to find complex, multi-step vulnerabilities in our code?

Google AI ModeOct 12, 2026

GitHub Advanced Security (CodeQL + Copilot): While CodeQL relies on deep semantic code property graph queries rather than raw AI

Sources AI cites

The page AI cites most for CodeQL