Best AI Code Review Tools in 2026: 8 Tools Compared With Verified Pricing

Manual code reviews drain engineering hours. Pull requests sit in limbo while reviewers context-switch between meetings and their own sprints. Bugs slip through because tired human eyes miss edge cases at 4 PM on a Friday.

AI code review tools solve this by scanning every pull request the moment it opens, flagging security vulnerabilities, performance issues, and style violations before a human reviewer ever looks at the diff. The best ones do more than lint your code. They understand data flow, explain the reasoning behind each suggestion, and learn your team’s conventions over time.

But the market has exploded. There are dozens of AI-powered code review platforms now, and they differ widely in scope, pricing, and integration depth. Some focus purely on PR reviews, others bundle SAST security scanning, and a few are part of larger developer platforms like GitHub or AWS.

This guide cuts through the noise. We tested and compared eight leading AI code review tools, verified their 2026 pricing directly from official sources, and organized everything so you can pick the right tool for your team in about ten minutes.

If you are also evaluating broader AI code assistants, that guide covers the full landscape of AI-powered coding tools beyond just code review.

TL;DR — Our Top Picks for 2026

• Best overall AI code reviewer: CodeRabbit — deep PR analysis with line-by-line suggestions at $24/month per developer
• Best free option for open source: Sourcery — full Pro features free for public repositories across 30+ languages
• Best for security-first teams: Snyk Code (DeepCode AI) — SAST scanning powered by 25M+ data flow cases
• Best for GitHub-native workflows: GitHub Copilot Code Review — reviews PRs directly inside GitHub with no extra tooling
• Best for enterprise compliance: SonarQube — industry standard for code quality gates with self-hosted and cloud options
• Best budget pick: Amazon CodeGuru — starts at $10/month for repos up to 100K lines after a 90-day free trial

1. CodeRabbit — Best Overall AI Code Reviewer

CodeRabbit delivers automated, line-by-line pull request reviews powered by large language models. It does not just flag problems. It explains why something is an issue and suggests a concrete fix you can apply with one click. Reviews run on every commit, not just the initial PR submission, so feedback stays current as code evolves during the review cycle.

CodeRabbit is the most-installed AI code review app on both GitHub and GitLab. Setup takes two clicks through the marketplace, and useful reviews start arriving on your very next pull request with zero configuration.

Pricing (Verified February 2026)

• Free: $0 — PR summarization, IDE reviews, and a 14-day Pro trial
• Pro: $24/month per contributing developer
• Enterprise: Custom pricing (self-hosted container option available)
• Always free for open-source projects

What Works

• Incremental reviews on every commit, not just the initial PR opening
• Context-aware suggestions that reference your existing codebase patterns
• Interactive chat in PR comments lets you push back or ask follow-up questions
• SOC Type II certified and GDPR compliant — your code stays private
• Supports GitHub, GitLab, Bitbucket, and Azure DevOps
• Self-hosted deployment option for enterprises with strict data residency requirements

What to Watch

• Rate limits apply: 200 files per hour, 25 messages per burst followed by 50 messages/hour
• The $24/month per developer price adds up quickly for large teams — a 20-person team pays $480/month
• Enterprise pricing is opaque and requires a sales conversation

2. Sourcery — Best Free Option for Open-Source Projects

Sourcery provides instant AI code reviews across 30+ programming languages. It integrates with GitHub, GitLab, and IDEs like VS Code and JetBrains. What sets it apart is a generous free tier that gives open-source projects the exact same features paid users get, and a learning model that adapts to your team’s preferences over time.

When you consistently dismiss a particular type of suggestion, Sourcery stops making it. This reduces review fatigue without losing signal on issues that actually matter to your team.

Pricing (Verified February 2026)

• Free: $0 — full Pro features for public and open-source repositories
• Pro: $10/month per user (reduced from $15/month)
• Team: $24/month per user with repo analytics and security reviews
• Enterprise: Custom pricing
• 20% discount on annual subscriptions across all paid plans

What Works

• Covers 30+ languages, making it one of the most polyglot reviewers available
• Open-source repos get the full Pro feature set at no cost
• The $10/month Pro plan is among the cheapest paid options in this category
• Does not store your code and LLM providers do not train on your data
• Adaptive learning reduces noise over time without manual rule configuration
• 14-day free trial for private repos

What to Watch

• The free tier is limited to public repositories only
• Production Issues monitoring has a 20-investigation monthly cap on the free plan
• Fewer enterprise governance features compared to SonarQube or Codacy
• Lacks whole-repository context for cross-file dependency analysis

3. Codacy — Best All-in-One AppSec and Code Quality Suite

Codacy goes beyond code review into a full application security suite. It bundles SAST, hardcoded secrets detection, dependency checks, SBOM generation, license scanning, DAST, and pentesting into a single platform. If your team needs code quality and security scanning without stitching together five different tools, Codacy is worth evaluating.

Supporting 30+ coding languages with both cloud and self-hosted deployment, Codacy aims to be the single pane of glass for everything from code style to vulnerability management.

Pricing (Verified February 2026)

• Open Source: $0 — public repositories remain free after trial
• Pro: $15/month per user
• Business: $18/month per user
• Enterprise (On-Premises): Custom pricing (approximately 2.5x the hosted license per seat)
• Free trial available on all plans

What Works

• Single platform replaces multiple standalone security and quality tools
• Competitive pricing at $15–$18/month per user
• 30+ languages supported with comprehensive SAST, secrets detection, and SBOM
• Cloud and self-hosted deployment options
• Accepts credit cards for monthly billing or wire transfers for annual plans

What to Watch

• On-premises pricing is significantly higher than cloud
• The breadth of features can be overwhelming for teams that only need code review
• AI-powered review suggestions are less advanced than dedicated AI review tools like CodeRabbit or Qodo
• Configuration complexity increases with the number of security features enabled

4. SonarQube — Best for Enterprise Compliance and Quality Gates

SonarQube is the industry standard for static code analysis and quality gates. Available as both a cloud service and a self-managed server, it has been adopted by thousands of enterprises for enforcing coding standards and catching bugs before they reach production. Its quality gate mechanism lets teams block merges when code does not meet predefined thresholds for coverage, duplication, complexity, and security. We also cover this topic in our guide to best AI for coding.

In 2026, SonarQube added AI Code Assurance to detect and apply stricter analysis to AI-generated code, plus AI CodeFix for LLM-powered one-click corrections in supported IDEs.

Pricing (Verified February 2026)

• Community Build (Self-Hosted): Free and open-source
• Cloud Free: $0 for up to 50,000 lines of code
• Cloud Team: Starting at €30/month for up to 100K lines of code
• Cloud Enterprise: Custom pricing (starts at 5M LOC with commercial support)
• Server Developer Edition: Starting at $720/year, priced by lines of code per instance
• Server Enterprise & Data Center: Custom pricing
• OSS plan available free for open-source organizations

What Works

• Proven at enterprise scale with thousands of production deployments worldwide
• Quality gates enforce measurable code standards before merges
• Both cloud and self-hosted options for any infrastructure requirement
• The free Community Build is genuinely useful for smaller teams
• Extensive language coverage (30+) and compliance reporting (PCI, OWASP, CWE, STIG)
• MCP server integration connects directly to AI coding tools

What to Watch

• Lines-of-code pricing can be unpredictable as your codebase grows
• AI capabilities are newer and less mature compared to AI-first tools like CodeRabbit or Qodo
• Initial setup and configuration take more effort than SaaS-only competitors
• Enterprise and Data Center editions require contacting sales for pricing

5. Snyk Code (DeepCode AI) — Best for Security-First Teams

Snyk Code, powered by DeepCode AI, is a developer-first security platform that combines symbolic AI with generative AI to find and auto-fix vulnerabilities. Originally an ETH Zurich spin-off acquired by Snyk in 2020, DeepCode AI analyzes data flow across your codebase using 25M+ curated data flow cases across 19+ languages.

The standout capability is Snyk Agent Fix, which generates patches for detected vulnerabilities and can open pull requests automatically. Snyk reports this reduces mean time to remediation by up to 84% when auto-fix is enabled.

Pricing (Verified February 2026)

• Free: $0 — 200 open-source tests and 100 Snyk Code tests per month
• Team: Starting at $25/month per developer (up to 10 licenses per org)
• Enterprise: Custom pricing with unlimited tests and AI autofixes

What Works

• 25M+ data flow cases provide deep vulnerability detection beyond pattern matching
• Auto-fix capability with automatic PR generation for detected vulnerabilities
• 19+ languages including Rust, Kotlin, Swift, and Apex
• IDE integration (VS Code), plus GitHub, GitLab, Bitbucket, and Azure Repos
• Customer data is never used to train AI models
• One-click IDE fixes reduce context switching for developers

What to Watch

• The free plan has tight test limits (100 Snyk Code tests/month)
• Team plan caps at 10 licenses, pushing larger teams to Enterprise pricing
• AI autofixes (Snyk Agent Fix) are only available on the Enterprise plan
• Primarily a security tool — not a general code quality reviewer
• Higher cost than general-purpose alternatives when you factor in the security focus

6. Qodo (formerly CodiumAI) — Best Multi-Agent Code Review Platform

Qodo rebranded from CodiumAI in 2024 and has since evolved into a multi-agent code review platform. Qodo 2.0, released in February 2026, introduced a multi-agent architecture where different AI agents handle different aspects of the review process. Qodo Gen works in your IDE for code generation and testing, Qodo Merge reviews pull requests inline as an open-source agent, and Qodo Command lets you script custom agents from the terminal or CI pipeline.

Qodo was recognized as a Visionary in the 2025 Gartner Magic Quadrant for AI Code Assistants, and an independent benchmark released with Qodo 2.0 showed the highest recall and F1 score among tested code review tools.

Pricing (Verified February 2026)

• Developer (Free): $0 — 75 pull requests and 250 LLM credits per month
• Teams: $30/month per user with 2,500 LLM credits per month
• Enterprise: Custom pricing
• Premium model requests (e.g., Opus) cost 5 credits instead of 1

What Works

• Multi-agent architecture with specialized AI agents for different review tasks
• Open-source Qodo Merge agent for pull request reviews
• Test generation integrated directly into the review workflow
• SOC 2 Type II audited with auto-purge of data within 48 hours
• Flexible deployment: SaaS, on-premises, VPC, or fully air-gapped
• VS Code and JetBrains IDE integration plus GitHub and GitLab

What to Watch

• Credit-based pricing can be confusing, especially with the 5x multiplier for premium models
• 250 free credits go fast if you use advanced models
• The $30/user/month Teams price is higher than several competitors
• The multi-agent architecture (released February 2026) is still relatively new
• More complex to configure than simpler PR-review bots

7. GitHub Copilot Code Review — Best for GitHub-Native Workflows

GitHub Copilot Code Review is built directly into the GitHub pull request workflow. When a contributor opens a PR, Copilot can automatically review the code, leave inline comments, and suggest fixes that can be applied with a couple of clicks. It works in any language and reviews code from multiple angles: security, performance, readability, and correctness.

The biggest advantage is zero setup friction. If your team already uses GitHub, enabling Copilot code review requires no additional app installations, webhook management, or third-party integrations. Organizations can even enable code review for all PRs, including from contributors who do not have a Copilot license.

For teams also interested in AI-powered coding in VS Code, Copilot delivers a unified experience across the IDE and the PR workflow.

Pricing (Verified February 2026)

• Copilot Free: $0 with limited features
• Copilot Pro: $10/month per user (300 premium requests/month)
• Copilot Pro+: $39/month per user (advanced models, higher request limits)
• Copilot Business: $19/month per user (includes code review for organizations)
• Copilot Enterprise: $39/month per user (1,000 premium requests, knowledge bases)
• Overage: $0.04 per additional premium request
• Free for verified students, teachers, and popular open-source maintainers

What Works

• Zero setup friction for teams already on GitHub
• Code review is part of a broader AI coding assistant, not a standalone add-on
• Organizations can extend code review to all PRs, even from non-licensed users
• Budget controls let admins cap premium request spending
• Integrates CodeQL and ESLint directly into the review process
• Custom coding standards via copilot-instructions.md for consistent enforcement

What to Watch

• Code review uses premium requests shared with chat, agent mode, and CLI
• Full code review requires Business ($19) or Enterprise ($39) plans
• Metered billing for overages can lead to unexpected costs without budget controls
• Locked into the GitHub ecosystem — not available for GitLab or Bitbucket
• Model switching is not supported within the review feature

If you are weighing GitHub Copilot against other AI coding tools, our Copilot vs Cursor vs Windsurf comparison breaks down the differences across the full feature set.

8. Amazon CodeGuru — Best Budget Option for AWS Teams

Amazon CodeGuru uses machine learning and automated reasoning to identify critical issues, security vulnerabilities, and hard-to-find bugs. It has two components: CodeGuru Reviewer for automated code reviews and CodeGuru Profiler for runtime performance optimization. For teams already on AWS, it integrates natively with your existing infrastructure and billing.

The pricing model is based on lines of code rather than per-seat, which makes it attractive for large teams with many contributors but modest repository sizes. The 90-day free tier is generous enough for a thorough evaluation.

Pricing (Verified February 2026)

• Free Tier: 90 days free for up to 100K lines of code (Reviewer) and 90 days free for Profiler
• CodeGuru Reviewer: Starting at $10/month for repos up to 100K LOC (fixed monthly rate based on repo size)
• CodeGuru Profiler: First 500 sampling hours free, then $0.005 per hour
• Additional full repo scans: $10 per 100K lines of code beyond two free monthly scans
• No upfront fees, contracts, or commitments

What Works

• Predictable, transparent pricing tied to repo size rather than per-seat costs
• The 90-day free tier is generous for thorough evaluation
• Native AWS integration simplifies billing and IAM management
• Profiler component helps find expensive code paths — a unique value-add
• Secrets detection for hardcoded passwords, API keys, and SSH keys
• No long-term contracts required

What to Watch

• Limited language support — primarily Java and Python
• AI capabilities are less advanced than dedicated LLM-powered review tools
• Locked into the AWS ecosystem
• Review suggestions tend to be more rule-based than AI-native
• Less active community and ecosystem compared to GitHub-based tools
• CodeGuru Reviewer has closed to new customers as of November 2025 — check availability

Comparison Table: All 8 AI Code Review Tools at a Glance

Tool	Free Plan	Paid Starting Price	Best For	Languages	Key Integrations
CodeRabbit	Yes (+ OSS free)	$24/dev/month	Deep PR reviews	All major	GitHub, GitLab, Bitbucket, Azure DevOps
Sourcery	Yes (full Pro for OSS)	$10/user/month	Multi-language reviews	30+	GitHub, GitLab, VS Code, JetBrains
Codacy	Yes (OSS only)	$15/user/month	Full AppSec suite	30+	GitHub, GitLab, Bitbucket
SonarQube	Community Build + Cloud Free	€30/month (Cloud Team)	Enterprise quality gates	30+	GitHub, GitLab, Azure DevOps, CI/CD
Snyk Code	Yes (100 tests/month)	$25/dev/month	Security scanning	19+	GitHub, GitLab, Bitbucket, VS Code
Qodo	Yes (75 PRs + 250 credits)	$30/user/month	Multi-agent reviews	All major	GitHub, GitLab, VS Code, JetBrains
GitHub Copilot	Copilot Free (limited)	$19/user/month (Business)	GitHub-native teams	All	GitHub (exclusive)
Amazon CodeGuru	90-day trial	$10/month (100K LOC)	AWS teams on a budget	Java, Python	AWS, GitHub, Bitbucket, CodeCommit

How to Choose the Right AI Code Review Tool

Picking the right tool depends on three factors: your workflow, your budget, and what you actually need reviewed.

Start With Your Git Platform

If your team lives on GitHub, GitHub Copilot Code Review is the path of least resistance. It requires zero setup beyond enabling it, and the code review capability comes bundled with the broader Copilot assistant your developers may already use.

If you use GitLab, Bitbucket, or Azure DevOps, look at CodeRabbit, Sourcery, or Codacy since they all support multiple platforms natively.

Define Your Primary Goal

Code quality and readability: CodeRabbit, Sourcery, or Qodo focus on making code better, not just flagging rule violations. Their AI-generated suggestions explain the reasoning behind each change.

Security vulnerabilities: Snyk Code and Codacy prioritize finding and fixing security issues. Snyk is stronger on pure vulnerability detection with its specialized DeepCode AI engine, while Codacy bundles broader AppSec features in a single platform.

Compliance and quality gates: SonarQube remains the gold standard for enforcing measurable coding standards, blocking sub-par code from merging, and generating compliance reports for regulated industries.

Cost efficiency: Amazon CodeGuru is the cheapest option for small-to-medium AWS-centric teams with its repo-size pricing model. Sourcery is the cheapest per-seat option at $10/month.

Consider Your Team Size

Solo developers or small teams (1–5): Start with Sourcery Pro ($10/month) or CodeRabbit Free. Both offer strong reviews without a large financial commitment.

Mid-size teams (5–25): CodeRabbit Pro, GitHub Copilot Business, or Qodo Teams give you the best balance of features and cost. If you are a Python-focused team, Sourcery’s adaptive learning model is particularly effective.

Enterprise (25+): Evaluate SonarQube, Snyk Code, or CodeRabbit Enterprise. Focus on self-hosted deployment options, SSO support, and compliance certifications like SOC 2 Type II.

Watch the Total Cost

Per-seat pricing tools like CodeRabbit ($24/dev) and Qodo ($30/user) can get expensive fast. A 20-person team on CodeRabbit Pro costs $480/month. The same team on Sourcery Pro costs $200/month. Amazon CodeGuru’s repo-size pricing avoids per-seat costs entirely, which is appealing for larger teams with many contributors.

Also factor in whether code review is bundled with tools you already pay for. If your organization already has GitHub Copilot Business seats, code review comes included at no additional cost. Running a separate tool on top of Copilot means paying twice for overlapping functionality.

Frequently Asked Questions

Can AI code review replace human reviewers?

Not entirely. AI code review tools excel at catching bugs, security vulnerabilities, and style violations consistently and quickly. But they struggle with architectural decisions, business logic correctness, and the mentorship aspect of human code reviews. The best approach is to use AI reviews as a first pass that handles mechanical checks, freeing human reviewers to focus on design and logic.

Are AI code review tools safe for proprietary code?

The major tools in this guide — CodeRabbit, Sourcery, Snyk Code, Qodo — all offer SOC 2 compliance, data encryption, and policies against using your code for model training. Several offer self-hosted or air-gapped deployment. Always check the specific vendor’s security documentation and data processing agreements before onboarding sensitive codebases.

Which tool supports the most programming languages?

Sourcery and Codacy both support 30+ languages. GitHub Copilot Code Review works with essentially any language since it leverages the same LLMs that power code completion. SonarQube also covers 30+ languages across its various editions. Snyk Code supports 19+ languages with a focus on security-relevant analysis.

Do these tools work with monorepos?

Yes, most of them do. CodeRabbit, Sourcery, and GitHub Copilot handle monorepos well out of the box. SonarQube requires some configuration for monorepo setups but supports them fully. Check each tool’s documentation for specific monorepo guidance related to your repository structure.

What is the cheapest AI code review tool that is still effective?

For paid plans, Sourcery Pro at $10/month per user and Amazon CodeGuru at $10/month per repository (up to 100K LOC) are the most affordable options. For free options, CodeRabbit’s free tier provides PR summarization and IDE reviews with no time limit, and Sourcery gives open-source projects the full Pro feature set at no cost.

Final Thoughts

The AI code review space in 2026 is mature enough that every tool on this list can meaningfully improve your code quality. The differences come down to focus, pricing model, and ecosystem fit.

If you want the deepest AI-powered PR analysis, CodeRabbit is the current leader. If you want the cheapest entry point with broad language support, Sourcery wins. If security is your top priority, Snyk Code has the most sophisticated vulnerability detection engine. And if you want zero-friction integration with GitHub, Copilot Code Review is the obvious choice.

Start with a free plan, run it on a real project for two weeks, and measure whether it catches issues your team currently misses. That real-world data will tell you more than any comparison article.

Related Reading on AIToolVS

• Best AI Code Assistants in 2026
• Best AI for Python Coding in 2026
• Best AI for Coding in VS Code 2026
• Copilot vs Cursor vs Windsurf: Full Comparison