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10 Best AI Code Review Tools Developers Can’t Stop Talking About in 2025

So you are a web dev expert, professional, or enthusiast who has spent hours writing clean, functional code. You push it to your repo, only to wait…...

So you are a web dev expert, professional, or enthusiast who has spent hours writing clean, functional code. You push it to your repo, only to wait… and wait… for a teammate to find time to review it. 

When they do, it’s either rushed, nitpicky, or worse, misses a critical issue that breaks production. Sound familiar?

You’re not alone.

For most developers, code review is the bottleneck of productivity. It’s essential but can be painfully slow, inconsistent, and occasionally political. That’s why more and more engineering teams are turning to AI code review tools, smart assistants that help spot bugs, ensure quality, and speed up review cycles, without replacing the human element.

In this blog, we at Mavlers, with 13+ years of expertise and experience in the web dev sphere, will walk you through the 10 best AI code review tools developers love in 2025. 

These tools are not just trendy, they’re battle-tested solutions designed to make your workflow faster, cleaner, and more efficient.

Let’s dive in.

Source

1. Codacy – The developer-friendly quality gate

Codacy has been around for a while, but don’t let its legacy fool you. This tool has evolved into one of the most efficient AI code review tools for developers looking for consistency, automation, and smart feedback.

Pros:

~ Supports over 40 languages

~ Offers real-time static code analysis

~ Seamless integration with GitHub, Bitbucket, GitLab, and more

Cons:

~ Limited security scanning features

~ The interface can feel clunky for new users

Use case:

Teams that want to enforce coding standards, track code quality over time, and reduce tech debt, especially in fast-paced Agile environments.

Pricing

~ Open source: Free

~ Team: $21/month per developer (billed annually) or $25/month (billed monthly)

~ Business: Custom pricing for larger teams

2. DeepCode by Snyk – Security meets smart code analysis

DeepCode, now part of the Snyk ecosystem, focuses on catching complex security flaws and logic errors using AI trained on billions of lines of code. It’s like having a security-focused team lead in your pipeline.

Pros:

~ Fast scanning of vulnerabilities

~ Highly intelligent bug detection with contextual understanding

~ Keeps learning from the open-source community

Cons:

~ Language support isn’t as wide as some competitors ‘

~ Mainly focused on security, not style or formatting

Use case:

Perfect for developers working in high-risk applications,  think fintech, healthcare, or enterprise software, where code safety is non-negotiable.

Pricing:

~ Free plan for individual  developers or small teams

~ Team plan starting at $25/month per contributing developer 

3. Amazon CodeWhisperer – The AWS developer’s copilot

Think of CodeWhisperer as your AI-powered code buddy, built by Amazon. It suggests code snippets, helps with inline documentation, and even flags potential vulnerabilities, all within your IDE.

Pros:

~ Context-aware code generation

~ Deep integration with AWS services

~ Supports real-time suggestions across multiple languages

Cons:

~ Works best within AWS-centric workflows

~ Limited PR review-specific features

Use case:

Great for cloud-native developers building on AWS who want to speed up coding and secure their cloud apps in real time.

Pricing:

~ Amazon Q Developer Free Tier

~ Amazon Q Developer Pro Tier:  $19/month per user

4. GitHub Copilot + Copilot for PRs – Next-level pull request assistant

If you’re using GitHub, Copilot is probably already helping you write code. But now, with Copilot for Pull Requests, it also helps review code intelligently.

Pros:

~ Suggests edits, generates documentation, and reviews logic

~ Summarizes pull requests in plain English

~ Learns from your existing repo and context

Cons:

~ Requires GitHub ecosystem buy-in

~ Can miss edge-case logic bugs

Use case:

Ideal for solo developers or teams working entirely within GitHub who want AI tools for faster code review, especially when juggling multiple PRs at once.

Pricing:

~ Free plan with unlimited public/private repositories

~ Team: $4 USD per user/month

~ Enterprise: $21 USD per user/month

5. CodeScene – The behavioral analyst

Unlike traditional AI code quality tools, CodeScene focuses on how your team writes code over time. It uses commit history to spot “hotspots” in your repo and predict future problem areas.

Pros:

~ Offers “code health” metrics and forecasts

~ Identifies high-risk areas using machine learning

~ Visual reports make it great for managers and CTOs

Cons:

~ Takes time to gather useful behavioral data

~ Less focused on real-time review of individual PRs

Use case:

Engineering managers or tech leads who want to understand code quality trends and make data-backed decisions about where to refactor next.

Pricing:

~ Standard: €18/active author/month (billed annually)

~ Pro: €27/active author/month (billed annually)

~ Enterprise: Custom pricing

6. Ponicode – The unit test magician

Ponicode takes the pain out of writing tests. It AI generates unit tests for your functions automatically and suggests improvements, making it one of the most innovative AI tools for code review with a focus on testing.

Pros:

~ Writes tests based on function behavior

~ Integrates with VS Code, JetBrains, and CLI

~ AI continues learning from thousands of use cases

Cons:

~ Not a full-fledged code reviewer

~ Sometimes over-generates unnecessary test cases

Use case:

Solo developers or teams that need to boost test coverage without eating into sprint timelines.

Pricing:

Free tier available; premium features may require a subscription.

7. SonarQube clubbed with AI add-ons – The enterprise favorite

SonarQube has long been a staple in static code analysis. With recent AI-powered add-ons, it now offers deeper insights, predictive suggestions, and smarter feedback.

Pros:

~ Covers 25+ languages

~ Strong focus on maintainability and readability

~ Scans during build pipelines

Cons:

~ Can be complex to configure

~ Not ideal for very small teams

Use case:

Mid-to-large tech teams that want automated code review tools embedded into CI/CD for scalable, enterprise-grade projects.

Pricing:

~ Free

~ Team: $32 per month

~ Enterprise: Price on request

8. ReviewPad – The smart PR manager

If you’re drowning in pull requests, ReviewPad might just be your new best friend. It automates the grunt work of reviewing PRs, tagging, labeling, and even enforcing rules using AI.

Pros:

~ Intelligent PR triaging

~ Custom rule enforcement

~ Inline feedback and smart suggestions

Cons:

~ Less mature than older tools

~ UI can feel barebones for now

Use case:

Agile teams that rely on quick sprints and need AI tools for faster code review during crunch time.

Pricing:

ReviewPad has not publicly disclosed details on pricing.

9. CodeGrip – The lightweight guardian

CodeGrip is clean, simple, and incredibly fast. It focuses on bug detection, code smells, and vulnerabilities right out of the box with zero configuration needed.

Pros:

~ Quick setup, beginner-friendly

~ Generates code quality and vulnerability reports

~ Great for small to medium-sized teams

Cons:

~ Limited customizability

~ Not ideal for complex enterprise workflows

Use case:

Startups or freelance devs looking for AI code review tools for developers that don’t require a heavy setup.

Pricing:

Free trial available; premium plans start at $12/month.

10. Mutable AI – The refactoring genius

Mutable AI is a modern IDE assistant that doesn’t just review your code, refactors it, rewrites functions, and even autogenerates docstrings. Think of it as Copilot, but with a twist of clean code philosophy.

Pros:

~ Built-in refactoring support

~ Integrates with GitHub and VS Code

~ Great documentation assistance

Cons:

~ Still evolving as a product

~ Some suggestions need manual fine-tuning

Use case:

Busy devs who want AI tools for code review and help writing better, more maintainable code, without the extra overhead.

Pricing:

There are three pricing models;

~ Basic: $10/month per seat

~ Codebase pro: $25/month per seat 

~ Enterprise: Price on request

TL;DR? Here’s a quick bird’s eye view of the hottest AI code review tools on the block!

top 10 AI code review tools

The road ahead 

In case you are considering using Webflow for your next web dev project, here’s a cool new feature upgrade you might enjoy ~ Next-Level Animations Just Got Easier in Webflow and We’re Not Kidding!

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Naina Sandhir - Content Writer

A content writer at Mavlers, Naina pens quirky, inimitable, and damn relatable content after an in-depth and critical dissection of the topic in question. When not hiking across the Himalayas, she can be found buried in a book with spectacles dangling off her nose!

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