LGTM - AI-powered Code Review Platform

Six-agent AI code review + CI/CD security that catches issues before they merge

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Added Jul 2026

looksgoodtomeow.in

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What is Lgtm Looks Good To Meow?

LGTM is an AI-powered code review platform that analyzes pull requests before they merge, catching security vulnerabilities, bugs, performance issues, and best practice violations. It uses six specialist LLM agents with tree-sitter context indexing across 12 languages, plus 16 CI/CD security detectors for pipeline scanning. Built for indie developers, startups, and open-source teams who need reliable first-pass reviews and merge-blocking security enforcement without sacrificing code quality.

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Key Features of Lgtm Looks Good To Meow

Six LLM specialist agents (security, bugs, performance, readability, best practices, documentation)
Full-repo context via tree-sitter across 12 languages
16 CI/CD security detectors for hardcoded secrets and supply-chain RCE
Merge-block Check Runs and runtime pipeline halt
Seven-agent review pipeline with synthesizer verdict
Inline PR comments with specific findings
Real-time review progress streaming via Socket.IO
BYOK (Bring Your Own OpenAI Key) support

Who Should Use Lgtm Looks Good To Meow?

Prevent security vulnerabilities and SQL injection in pull requests

Catch N+1 query performance issues before production

Enforce CI/CD security across GitHub Actions and Dockerfiles

Block unpinned dependencies and hardcoded secrets from merging

Automate code review for OSS maintainers and small teams

Detect API misuse and broken assumptions in dependent code

Lgtm Looks Good To Meow: Pros & Cons

✓Pros

Reviews complete in minutes with concurrent agent execution
Context-aware analysis using full-repo dependency graphs, not just diffs
Deterministic CI/CD security scanning with no LLM guessing
Merge-block enforcement gates prevent bad code from shipping
Supports 12 programming languages natively
Bring Your Own OpenAI Key for data privacy
Real-time streaming feedback on review progress

Frequently Asked Questions about Lgtm Looks Good To Meow

What languages does LGTM support for code review?

LGTM supports 12 languages: TypeScript, JavaScript, Python, Go, Rust, Java, Kotlin, C, C++, C#, Ruby, and PHP.

How does LGTM's full-repo context improve reviews compared to diff-only tools?

LGTM indexes your entire codebase with tree-sitter, builds a dependency graph, and shows each agent the related files the diff actually depends on, catching API misuse and broken assumptions that diff-only tools miss.

What CI/CD security issues does LGTM detect?

LGTM has 16 deterministic detectors for hardcoded secrets, pull_request_target supply-chain RCE, unpinned GitHub Actions, privileged containers, shell-injection in workflows, lockfile drift, and unallowlisted outbound network connections.

How fast does LGTM review pull requests?

Six LLM agents run concurrently with 150ms stagger, delivering reviews in minutes rather than days, with real-time progress streaming to your dashboard.