LGTM — Looks Good To Meow

LGTM enhances pull request reviews and CI/CD security by employing specialized agents and robust detectors across your entire codebase. Key features include: • Context-aware code reviews using whole-repo analysis • 16 CI/CD security detectors for build pipelines • Runtime Watchdog to catch post-static analysis issues • Six specialist agents for comprehensive code examination • Inline comments and merge-blocking enforcement Unlike traditional diff-only reviewers, LGTM leverages tree-sitter and a PageRank-like approach to read your complete codebase. This deep understanding allows reviews to focus on the full context rather than just syntax changes, effectively identifying issues like API misuse and broken assumptions that might otherwise be missed. The platform offers a seven-agent review pipeline, with six specialists addressing security, bugs, performance, readability, best practices, and documentation, plus a deterministic CI-security agent. Built for engineering teams managing 5–50 developers, LGTM integrates seamlessly into your GitHub workflow. It provides real-time feedback through inline comments and can block merges based on critical findings. The Runtime Watchdog further strengthens your security posture by monitoring for vulnerabilities that evade static analysis. This comprehensive approach ensures that high-quality, secure code is shipped consistently. LGTM is ideal for development teams seeking to improve code quality, enforce security policies, and streamline their code review process. It supports various languages and provides deep insights to prevent bad code from merging into the main branch, helping maintain project integrity and accelerate development cycles.