LGTM — Looks Good To Meow
Security-first AI code review that reads your whole repo, not just the diff
Overview
Hey,
We built LGTM because I kept watching PRs sail through review with leaked secrets and broken pipeline steps — the stuff generic AI reviewers just don't look for.
So LGTM leads with security: multi-agent PR review, 16 CI/CD detectors, and a Runtime Watchdog for what static analysis misses. And instead of reviewing the diff in isolation, it reads your whole repo (tree-sitter + PageRank) so it actually understands context.
It's live and free to try → looksgoodtomeow.in
LGTM reviews every pull request with specialized AI agents, runs 16 CI/CD security detectors, and ships a Runtime Watchdog that catches what static analysis misses. Unlike diff-only reviewers, it reads your entire codebase (tree-sitter + PageRank) so reviews understand context, not just syntax.🐱
Who Is It For
Developers, startups, and open-source maintainers looking for efficient code review and CI/CD security solutions.
Strengths & Weaknesses
Limited to GitHub integrations and may not cater to teams using other version control systems or platforms (AI-inferred; may be outdated – founders can correct this)
Classification
Alternatives to LGTM — Looks Good To Meow
Community
1LGTM reads your whole repo using tree-sitter and PageRank rather than just the diff, which seems tailored for developers and maintainers needing context-aware security checks. What led you to prioritise whole-repo analysis over more traditional diff-focused reviews in your design?