CodeRabbit uses GPT-6.1 Sol for codebase security review
Original title: GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
The model reviews pull requests and wider scans, and can draft fixes that people must approve.
OpenAI said on October 26 that CodeRabbit uses GPT-6.1 Sol as the primary model in its security agent. The model is used to connect behavior across files, dependencies, and linked repositories during pull-request review and Deep Scan. CodeRabbit Secure can attempt exploit verification in an isolated sandbox and draft a pull request for supported findings. Human reviewers decide which changes ship, and CodeRabbit also uses other models and scanners.
Unconfirmed: The volume of findings is CodeRabbit’s report, not an independent count.
- CodeRabbit reports findings across thousands of repositories and organizations.
- Sandbox checks cover user-selected findings and do not test production systems.
- Review is independent of the agent that wrote the code.
- Linked-repository scans can include a shared authentication library.
- Products
- CodeRabbit Secure
- Organizations
- OpenAICodeRabbit
- AI models
- GPT-6.1 Sol
From the original article
3 min read at openai.comCodeRabbit uses GPT-6. 1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.
openai.com
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