What is AI code review?

Using a language model to review changes contextually, rather than matching them against fixed rules.

By Cláudia FernandesUpdated

A model reads the diff along with surrounding code and comments on what it finds: naming, missed edge cases, logic that contradicts the stated intent of the change. It covers ground no ruleset describes.

It complements rather than replaces deterministic analysis. Static rules are repeatable and auditable; model review is broader but variable. Teams that get value from it typically run both and keep the outputs visually distinct.

What to look for

  • Which model is used, and whether that is disclosed at all
  • Whether review context includes linked issues and repository history
  • Comment precision measured on your own pull requests
  • Whether AI findings are labeled separately from scanner findings

Best 20 AI code review tools

Every tool in the directory whose documentation covers this, 19 fully and 1 partially. Full support is shown first. Shown in a random order that changes on every visit, so no tool gets an advantage from its position.

Support is not the same as parity, since some implementations are narrower in scope, gated to a higher plan tier, or maintained only for existing customers. The note under each tool is what its own documentation describes.

Code Security Platform

Aikido
Pro

Deep Review performs AI contextual code review of business logic and attack paths

AI Coding Agent

ChatGPT / Codex
Plus

Review and scanning are agentic Codex runs; Codex Security defaults to gpt-5.6-sol at xhigh reasoning effort.

Code Security Platform

Checkmarx One

AI Security Champion explains and fixes scanner findings; AI Triage analyzes new pull-request vulnerabilities.

AI Coding Agent

Claude Code

Entire product is agent-based: parallel reviewer agents on Anthropic infrastructure with independent verification.

Code Quality Platform

Codacy
Team

AI Reviewer (GitHub) combines static analysis with Gemini contextual review using PR, Jira, history context.

PR Review Tool

CodeAnt AI

AI-assisted agentic code review across PR, IDE and CLI, grounded in full codebase context

PR Review Tool

CodeRabbit
Pro

LLM-based reasoning engine with 57 static analysis tools layered on top

Code Quality Platform

CodeScene
Standard

AI-powered PR analysis plus CodeScene ACE refactoring with deterministic Code Health fact-checking

Code Security Platform

Corgea

BLAST combines LLM reasoning with static/AST analysis

PR Review Tool

Cursor (Bugbot)
Pro

Bugbot, Security Agents, Agent Review and PR Routing are all LLM agents on Cursor's cloud.

Code Quality Platform

DeepSource

AI Review agent runs hybrid with static analysis, governed by a team-level AI & Agents policy.

AI Coding Agent

Gemini Code Assist
Standard

PR reviews, chat and completions all run on Gemini foundation models with automatic model selection.

Code Security Platform

GitHub Advanced Security
Add-on: Code Security; Copilot license for Code Quality AI findings

AI-powered security detections run at PR review for languages CodeQL misses; Code Quality adds LLM findings

PR Review Tool

Greptile

Codebase-graph-grounded AI review posting summary, confidence score and inline comments

Code Quality Platform

Qlty
Cloud, per-workspace opt-in

LLM powers opt-in AI autofixes and AI issue explanations alongside deterministic linter analysis.

PR Review Tool

Qodo

Multi-agent LLM review engine is the core product; agents per quality dimension

Code Security Platform

Semgrep
Team

Semgrep Multimodal AI layer for detection, guidance, autotriage, tagging; unavailable on Free (no AI credits).

Code Security Platform

Snyk

DeepCode AI semantic engine powers Snyk Code; LLMs used for breakability, Agent Fix, Snyk Assist.

Code Quality Platform

SonarQube
Team

AI CodeFix is LLM-powered on Team and Enterprise; Gitar AI PR review sold as a separate product.

Code Security Platform

VeracodePartial
add-on

Veracode Fix uses ML plus RAG for remediation only; no AI reviewer that finds issues itself

FAQ

What is AI code review?

Using a language model to review changes contextually, rather than matching them against fixed rules.

How many tools in the directory offer AI code review?

All 20 tools in this directory offer AI code review, 19 fully and 1 partially:

Support is not the same as parity, since some implementations are narrower in scope, gated to a higher plan tier, or maintained only for existing customers. The note under each tool is what its own documentation describes.

What should you check when comparing tools with AI code review?

Four things:

  • Which model is used, and whether that is disclosed at all
  • Whether review context includes linked issues and repository history
  • Comment precision measured on your own pull requests
  • Whether AI findings are labeled separately from scanner findings