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Gito performs automated code review through direct connections to language model providers. The program works with OpenAI, Anthropic, Google, and local inference servers. It examines pull requests and local changes for security problems, performance issues, and maintainability concerns. Results appear as comments on GitHub pull requests. The tool processes files in parallel for fast completion. Source code goes directly from your environment to the configured model endpoint without passing through intermediary servers.
The application operates as a stateless program with zero data retention. Each review run leaves no stored copies of source code or analysis results. Teams configure review rules and severity levels through configuration files. GitHub Actions integration enables automatic review on every pull request. The tool reacts to maintainer comments for additional analysis. Support for local models keeps code within private networks when required.
Gito supports all major programming languages and frameworks. The vendor-agnostic design allows switching between model providers without changing workflows. Parallel processing handles large codebases efficiently. The tool detects security vulnerabilities, performance bottlenecks, and maintainability problems. Custom configurations match review strictness to project standards. The complete source code is publicly available for audit and verification.