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OpenAI says CodeRabbit uses GPT-6.1 Sol for code security reviews
OpenAI said Monday that CodeRabbit is using GPT-6.1 Sol as the primary model in its security agent to investigate risks across complex codebases.
OpenAI said Monday that CodeRabbit is using GPT-6.1 Sol as the primary model in its security agent, which is meant to investigate security risks across complex codebases rather than only individual code changes1.
The company said a pull request can affect shared libraries, dependencies and safeguards elsewhere in an application, and that Sol helps CodeRabbit connect behavior across files and components1. OpenAI said CodeRabbit’s review is independent of the agent that wrote the code and complements established scanners, and that the system also uses other frontier models and security tooling1.
During pull-request review, Sol helps analyze changes as developers work, OpenAI said1. In a mode called Deep Scan, it supports broader investigation across repositories, including dependencies and how components interact1. CodeRabbit Secure extends that investigation to linked repositories, such as a shared authentication library, according to the post1.
CodeRabbit reports using GPT-6.1 Sol to flag security-related issues across thousands of repositories and organizations, OpenAI said, with findings feeding into existing pull-request workflows1.
For user-selected findings, CodeRabbit Secure can attempt exploit verification in an isolated sandbox without testing production systems, OpenAI said1. For supported issues, it can draft a pull request with a proposed fix for a person to review and approve1.
OpenAI said human reviewers remain responsible for deciding which changes to ship1. Independent reporting on CodeRabbit’s results, customer uptake or how often proposed fixes are accepted was not included in the company post1.