Code Review AI

Automated code review for any linter on CI

reviewdog is an open-source automated code review tool that integrates any linter or static analysis tool with GitHub, GitLab, Bitbucket, and Gitea pull requests. Parses output in errorformat, Checkstyle XML, SARIF, and JSON formats to post inline review comments on changed lines only. Works with GitHub Actions, Travis CI, CircleCI, GitLab CI, and Jenkins. Supports 40+ languages through universal linter adapter architecture.

LSP-based AI code review agent backed by Y Combinator

mrge is a YC-backed AI code review agent that uses Language Server Protocol analysis to provide deep, context-aware pull request reviews. It goes beyond surface-level pattern matching by understanding project structure, type information, and cross-file dependencies. Integrates with GitHub and GitLab to deliver automated reviews that catch logic errors, security issues, and architectural inconsistencies.

AI-powered pull request summaries and code review

WhatTheDiff is an AI tool that generates human-readable pull request summaries and suggests code improvements. It analyzes code diffs to explain what changed and why in plain language, helping reviewers understand PRs faster. Integrates with GitHub and supports automated refactoring suggestions through a /wtd command. Useful for teams wanting to improve PR review speed and maintain changelog quality.

Context-aware AI review with business logic validation

Umaku is a context-aware AI code review agent that understands full codebase and business logic context, detecting inconsistencies and assessing quality and risk beyond syntax-level analysis. It auto-generates and validates QA test cases from reviewed code, making it particularly effective for reviewing AI-generated code where product-intent validation matters more than style checking.

Code health analysis and technical debt quality gates

CodeScene analyzes code health, technical debt, and delivery risks by examining code patterns and change frequency, then integrates as CI/CD quality gates on pull requests. It scales AI-assisted development safely by measuring whether generated code maintains architectural integrity, with on-premises deployment options and pricing that starts free for open-source projects.

AWS managed AI code review for Java and Python

Amazon CodeGuru Reviewer is an AWS managed service that provides automated code analysis and recommendations on pull requests for Java and Python codebases. It integrates with GitHub, Bitbucket, and AWS CodeCommit, using machine learning trained on Amazon's internal code review practices to identify bugs, security vulnerabilities, and performance issues with IAM-based access control for enterprise governance.

AI reviewer that catches hallucinations in generated code

Codoki is a specialized AI code reviewer focused on catching hallucinations in code generated by autonomous agents like Devin and Claude Code. It validates that AI-proposed code actually functions according to provided requirements, serving as a critical safety layer for teams where AI agents generate a significant portion of the codebase and human review capacity cannot keep pace with generation speed.

Automated PR workflow with AI review and labeling

ReviewPad automates the pull request workflow by applying team-defined rules for labeling, assigning reviewers, and providing AI-powered feedback on code changes. Its open-source GitHub repository supports custom automation scripts that standardize the review cycle, making it essential for mid-to-large teams enforcing governance without sacrificing development velocity across multiple repositories.

AI code review that groups and orders PR changes

Cubic is an AI-powered code review platform used by teams at cal.com and n8n that organizes complex PRs by grouping files logically (Backend → API → UI) and provides an AI walkthrough of changes. At $30/developer/month for unlimited reviews, it solves the jumpiness problem in large pull requests where reviewers lose context hopping between unrelated files, offering one-click fixes and custom rule enforcement.

AI coding agent for code review and bug fixing

Ellipsis is a Y Combinator W24-backed AI coding agent that automatically reviews code, fixes bugs on pull requests, creates release notes, and resolves build issues autonomously. It goes beyond passive review by directly contributing code to fix the issues it identifies, integrating with GitHub to provide context-aware feedback while emphasizing security through a strict no-code-retention policy.

Open-source AI-powered PR review with slash commands

PR-Agent by Qodo is the most widely adopted open-source AI code review tool with 10,700+ GitHub stars and 207 contributors. It provides automated PR description generation, intelligent line-by-line code review, and actionable improvement suggestions through intuitive slash commands like /describe, /review, and /improve, integrating natively with GitHub Actions, GitLab CI, Bitbucket, and Azure DevOps.

Open-source AI code review with hybrid AST-LLM

Kodus is an open-source AI code review platform that combines Abstract Syntax Tree analysis with LLM reasoning in a hybrid architecture, dramatically reducing noise and hallucinations compared to pure LLM approaches. Its Kody agent learns team-specific coding standards over time, supports full model choice including OpenAI, Anthropic, Gemini, and local models via Ollama, and offers self-hosted deployment for enterprise security requirements.

AI-powered safe PR auto-approval

Codeball uses AI to identify low-risk pull requests that can be automatically approved and merged, analyzing historical PR patterns and code change characteristics to predict risk levels. The open-source core integrates as a GitHub Action, helping teams significantly increase delivery velocity by automating triage of routine code changes while flagging high-risk PRs for thorough human review.

All-in-one AI code review, security, and quality

CodeAnt AI is a Y Combinator-backed platform that bundles AI-powered pull request reviews, SAST security scanning, secret detection, IaC scanning, and DORA developer metrics into a single tool. Supporting 30+ programming languages and all major Git platforms including GitHub, GitLab, Bitbucket, and Azure DevOps, it has scanned over 50 million lines of code and auto-fixed 500,000+ issues across engineering teams worldwide.

AI code review by Cursor with multi-pass parallel analysis

BugBot is Cursor's AI code review tool that automatically reviews GitHub pull requests by running eight parallel review passes with randomized diff order to catch bugs that single-pass reviewers miss. Processing over two million PRs monthly, it offers a Fix in Cursor button that jumps developers from review comments to the editor with pre-loaded fixes. Tightly integrated with the Cursor IDE, it requires a Cursor subscription and is currently GitHub-only.

Unified AI code review and application security platform

Panto AI is a unified AI-driven code review and application security platform that combines static analysis, secrets detection, dependency scanning, and infrastructure-as-code security into a single PR workflow. It contextualizes issues based on repository structure and code history to deliver actionable insights directly within pull requests on GitHub, GitLab, and Bitbucket with zero-configuration onboarding and compliance-ready reporting for SOC 2, ISO, and PCI-DSS.

Automated code quality platform with AI autofix

DeepSource is a code quality and security platform that scans repositories for bugs, anti-patterns, vulnerabilities, and performance issues with AI-powered autofix. Supports 15+ languages including Python, JavaScript, Go, Ruby, and Java. Analyzes every commit and PR with inline annotations. Features code coverage tracking, dependency scanning, custom analyzer rules, and quality gates. Free for open-source and individual developers with unlimited repositories.

Cloud-based code quality and security analysis

SonarCloud is the cloud version of SonarQube providing continuous code quality and security analysis as a service. Automatically scans every pull request for bugs, vulnerabilities, code smells, and security hotspots across 30+ languages. Features quality gates that block merging of substandard code, technical debt tracking, and duplicated code detection. Free for open-source projects. Integrates with GitHub, GitLab, Bitbucket, and Azure DevOps with zero infrastructure management.

Code quality and security analysis platform

SonarQube is an open-source code quality and security platform with 9K+ GitHub stars that continuously inspects code for bugs, vulnerabilities, code smells, and security hotspots across 30+ programming languages. Enforces quality gates in CI/CD pipelines to prevent bad code from merging. Features include SAST scanning, duplicated code detection, technical debt tracking, and quality profiles. The industry standard for code quality management, used by 400K+ organizations worldwide.

Fast open-source SAST with custom rules

Semgrep is an open-source static analysis tool with 11K+ GitHub stars that scans code for bugs, vulnerabilities, and anti-patterns using lightweight, customizable rules written in YAML. Runs 10-20x faster than traditional SAST tools with support for 30+ languages. The AppSec platform adds SCA for dependency scanning, secrets detection, and AI-powered triage. Features a community-driven rule registry with 3,000+ rules. Integrates with GitHub, GitLab, CI/CD, and IDE extensions.

Developer-first security platform

Snyk is the leading developer security platform providing continuous scanning for vulnerabilities in code (SAST), open-source dependencies (SCA), container images, and infrastructure as code. Integrates directly into IDEs, Git repositories, CI/CD pipelines, and container registries. Features AI-powered fix suggestions, license compliance checking, and real-time vulnerability database. Free for individual developers with paid plans for teams. Supports 30+ programming languages.

AI code review with full codebase context

Greptile is a Y Combinator-backed AI code review tool that indexes your entire codebase to build a semantic code graph of functions, classes, and dependencies. Unlike diff-only reviewers, it catches cross-file issues, architectural drift, and convention violations with an 82% bug catch rate. Supports GitHub, GitLab, Jira, Slack, and VS Code. Offers cloud and self-hosted VPC deployment with SOC2 Type II compliance. Used by 250+ companies including Stripe and Amazon.

AI developer productivity platform with stacked PRs

Graphite is an AI-powered developer productivity platform that combines stacked pull requests with intelligent code review. Its AI agent catches real bugs with an under 3% unhelpful comment rate and offers one-click fixes directly in the PR flow. The stacked PR workflow breaks large changes into smaller, sequenced diffs that merge independently, keeping developers unblocked. Includes a stack-aware merge queue, CLI tool, VS Code extension, unified PR inbox, and deep GitHub integration.

AI-powered code review and refactoring assistant

Automated code reviewer that integrates with GitHub PRs. Detects code quality issues, suggests refactoring, and auto-generates reviews. Python specialist with growing JS/TS support and 1.8k+ GitHub stars. Enforces team coding standards consistently and helps developers learn best practices through inline suggestions on every pull request.