CodeSentinel is a privacy-first AI code review tool that runs entirely locally on a developer's machine using the Gemma 4 4B parameter model via Ollama. It analyzes pull requests or diffs to detect security vulnerabilities (e.g., SQL injection, XSS), code style issues, and performance anti-patterns, providing structured JSON output with severity, line numbers, CWE IDs, and fix suggestions. It achieves high accuracy comparable to cloud-based tools but with zero data leaving the local environment, zero API costs, and fast inference times suitable for real-time PR feedback.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
