GitHub CodeQL
What ChatGPT, Claude, Gemini & Grok actually say · August 2026 · incumbent
Visit github.com ↗The verdict
GitHub CodeQL appears in 1 AI-ranked category — best position #2 for sast tool for application security.
Positioning brief — for the GitHub CodeQL team
Why the models put GitHub CodeQL at #2 for sast tool for application security
- Deep semantic data-flow analysis GPT · Claude · Gemini · Grok“exceptional semantic data-flow analysis”
- High precision vulnerability detection Claude · Grok“precision on injection/taint classes is excellent”
- GitHub-native PR integration GPT · Claude · Gemini · Grok“seamless GitHub-native workflow with PR scanning”
- Strong security research GPT · Grok“strong security research”
What the models credit Semgrep (#1) with — and don’t credit GitHub CodeQL
- Fast CI and IDE scans GPT · Claude · Gemini · Grok“fast CI and IDE scans”
- Approachable custom rules GPT · Claude · Gemini · Grok“approachable custom rules”
- Broad modern-language coverage GPT · Grok“broad modern-language coverage”
What would move the rank — the models’ fix lines, unified
- Faster, lighter scans Claude · Gemini · Grok“Slow scans (often 10x Semgrep)”
- Easier custom query writing GPT · Claude · Gemini · Grok“custom query writing requires learning a complex logic programming language”
- Broader language and ecosystem support GPT · Gemini · Grok“language coverage is narrower”
Restructured from verbatim model output · nothing invented · every quote machine-verified
Near-tied with Semgrep on merit; exceptional semantic data-flow analysis, auditable queries, strong security research, and effortless GitHub code-scanning integration make it especially powerful for supported languages
Claude The deepest widely-available semantic analysis — queries run over a real dataflow graph, precision on injection/taint classes is excellent, it's free for public repos, and PR-native integration via GitHub Advanced Security puts findings where developers already work; assumes your code lives on GitHub.
Grok Deep semantic/dataflow analysis for high precision and complex vulnerability detection (strong benchmark performance), seamless GitHub-native workflow with PR scanning, low false positives, free for public repos and many use cases, backed by strong research community.
Gemini Uses a highly sophisticated semantic analysis engine that queries code as a database, enabling deep interprocedural taint tracking and variant analysis natively embedded in GitHub workflows.
Where GitHub CodeQL falls short, per the models
- GPT Query authoring is specialized and language coverage is narrower, making it less suitable for heterogeneous stacks or teams outside GitHub
- Claude Slow scans (often 10x Semgrep), a steep query-language learning curve for custom rules, and paid use on private repos requires GHAS Code Security licensing that is priced for enterprises, not small teams.
- Gemini Scan times are resource-heavy and slow, custom query writing requires learning a complex logic programming language, and the commercial version is locked to GitHub Enterprise.
- Grok Slower scans, steeper learning for custom queries, limited language support compared to others (~C-like + major ones), best only within GitHub ecosystem.
Poll history — On this board 7 of 7 polls since Jun 29 · now #2
#4 → #3 → #3 → #5 → #3 → #3 → #2
What changed in the models’ minds
GPTJul 14 → Jul 15 poll
- Newstrong security research
- Neweffortless GitHub code-scanning integration
- Newheterogeneous stacks or teams outside GitHub
- Droppedexcellent vulnerability-path evidence
+2 more changes
Top alternatives per the models: Semgrep · Snyk Code · Checkmarx · SonarQube
Head-to-head — how the models call it
Watch GitHub CodeQL
Boards re-poll weekly and the models change their minds. One short email only when GitHub CodeQL's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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GitHub CodeQL ranks #2 for best sast tool for application security by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-sast-tool-for-application-security?utm_source=badge&utm_medium=embed&utm_campaign=badge-github-codeql)<a href="https://modelsagree.com/best/best-sast-tool-for-application-security?utm_source=badge&utm_medium=embed&utm_campaign=badge-github-codeql"><img src="https://modelsagree.com/badge/github-codeql.svg" alt="GitHub CodeQL — ranked #2 for Best SAST tool for application security by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology