Best 17 ai assisted code review Tools in 2024

Zevo.ai, Code Review Assistant, CodeSensAI, CodeChat, Hoji AI, Text/Code Util.AI, RatingHub, What The Diff – AI powered code review assistant, Chatcody, SeniorDev are the best paid / free ai assisted code review tools.

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1
Code visualization for faster debugging and code review.
132 users
22.04%
3
Automate pull request reviews with code optimization suggestions.
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2
Transform code reviews with AI-powered insights.
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71.92%
3
Chat with GitHub source code.
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1
Automated code reviews with AI precision.
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3
AI assisted web app for text and code utilities.
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0
AI-assisted review management platform for syncing and analyzing reviews across multiple channels.
5.3K
35.04%
5
AI app What The Diff helps review pull requests with machine learning and notifications.
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1
GPT-4 embedded engineer in repository.
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2
SeniorDev is an AI tool for code review that boosts productivity and efficiency.
624.4K
22.59%
1
CodeRabbit is an AI tool that speeds up code reviews with AI insights.
7.9K
36.84%
2
AI Code Mentor uses AI to optimize, refactor, and explain code for developers.
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0
Managed, AI-assisted internal hackathon platform
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69.83%
1
Automate code reviews and diagnose coding errors with AI.
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100.00%
3
AI-assisted talks and presentations with live transcription and summarization.
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100.00%
2
Review Insights Pro is a user-friendly app that assists businesses in managing customer reviews.
5.2K
57.74%
4
Metabob automates code reviews, improving software and developer productivity.
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What is ai assisted code review?

AI-assisted code review is a process that leverages artificial intelligence to analyze and provide feedback on source code. It aims to enhance the traditional code review process by automating certain aspects and offering intelligent suggestions. AI-assisted code review tools can identify potential bugs, security vulnerabilities, performance issues, and coding style violations, helping developers improve code quality and maintain consistency across projects.

What is the top 10 AI tools for ai assisted code review?

Core Features
Price
How to use

CodeRabbit

The core features of CodeRabbit include AI-powered code analysis, contextual insights, suggestions for improvement, code quality assessment, best practice recommendations, and industry standards compliance checks.

To use CodeRabbit, simply sign up on the website, upload your code for review, and let the AI analyze it. The tool will provide detailed insights and suggestions for improvement based on the code quality, best practices, and industry standards.

AI Code Mentor

Code complexity analysis
Code refactoring suggestions
Code review with explanations
Multiple explanation options (robot, beginner programmer, teacher, etc.)

Basic Plan Free
Pro Monthly Plan $7/mth
Pro Yearly Plan $29/year

To use AI Code Mentor, simply insert the code you want to be explained and choose how you want the explanation to be delivered, such as through a robot, a beginner programmer, a teacher, or other options. The tool will then generate a comprehensive explanation of the code.

What The Diff – AI powered code review assistant

AI-powered code review assistance
Automatic code refactoring suggestions
Pull request summaries for changelogs and team updates
Fine-grained controls for repository analysis
On-demand comment generation
Reporting and notification delivery
Support for GitHub and Gitlab integration

To use What The Diff, you need to create an account and connect it with your GitHub or Gitlab repositories. Once connected, you can enable What The Diff to analyze the diff of your pull requests and provide suggestions for code changes. You can also generate pull request summaries, control which repositories are analyzed, and receive notifications in Slack, via email, or using a custom webhook.

Metabob

Generative AI for code refactoring and debugging
Graph-attention networks for code review facilitation
Static code analysis for software security
Debugging code with automatically generated recommendations
Code refactoring recommendations for code quality improvement
Project metrics for code quality and team productivity evaluation
Self-hosted deployment for customization and privacy

To use Metabob, you can get started by installing the VS Code extension or integrating it with your GitHub, BitBucket, or GitLab repositories. Once integrated, Metabob utilizes its proprietary graph neural networks to detect problematic code, which is then passed to a large language model (LLM) to generate context-sensitive explanations and resolutions. Metabob can be used for static code analysis, debugging code, code review facilitation, and code optimization.

Codara - AI Code Reviewer

Simplify code reviews with artificial intelligence. Receive suggestions and potential fixes for errors and warnings. Streamline your development process with effortless integration, advanced AI analysis, real-time feedback, customizable criteria, and team-centric collaboration.

Install Codara with 'pip install codara'. Login using the same email used for your PayPal purchase. Review staged commits against a branch with 'codara review --target main'. Review unstaged work within the current branch with 'codara review --unstaged'. Diagnose errors received from commands with 'codara diagnose '<command-producing-error>''.

Zevo.ai

Dynamic code analysis
Contextual code understanding
Code maps

Zevo.ai accelerates code comprehension, deployment, and observation. It provides dynamic code analysis, contextual code understanding, and code maps to improve code understanding and streamline code-related tasks.

Showzone

Live broadcast with Q&A
AI-generated summary
Presentation Insights

Basic $9.99/month Essential features for individual users
Pro $19.99/month Advanced features for professionals and teams
Enterprise Contact us for pricing Customized solutions for large organizations

Create your presentation in any tool, such as PowerPoint, and use Showzone to deliver it. Simply save to PDF, drag into the app, and hit start. Present anywhere, from a web browser or desktop app. Let your audience join the show with their device.

CodeChat

Chatting with GitHub source code
Real-time collaboration
Syntax highlighting
Version control integration

To use CodeChat, simply visit the website at https://usecodechat.com and follow the instructions provided.

CodeSensAI

Advanced AI-powered code review
Detailed code insights
Simple code explanations

Do code reviews and get code explanations right from your Chrome-based web browser.

Review Insights Pro

Advanced sentiment analysis
Topic and aspect analysis
Streamlined review management workflow
Actionable feedback and reporting
Professionally crafted response templates

To use Review Insights Pro, simply sign up for a free trial and start analyzing your customer reviews. The platform uses advanced algorithms to analyze sentiment, topics, keywords, and aspects of the reviews. With the insights gained, you can make data-driven decisions, address customer concerns, and improve your products or services. The app and Chrome extension provide an easy-to-use interface for managing reviews and crafting professional responses.

Newest ai assisted code review AI Websites

AI-assisted talks and presentations with live transcription and summarization.
Automated code reviews with AI precision.
Transform code reviews with AI-powered insights.

ai assisted code review Core Features

Static code analysis to identify potential issues and bugs

Security vulnerability detection and recommendations

Performance optimization suggestions

Coding style and best practice enforcement

Integration with version control systems and development workflows

What is ai assisted code review can do?

Software development teams can integrate AI-assisted code review into their continuous integration and delivery (CI/CD) pipelines to automate code quality checks.

Organizations can use AI-assisted code review to enforce secure coding practices and identify potential security risks early in the development process.

Open-source projects can leverage AI-assisted code review to maintain code quality and consistency across contributions from multiple developers.

ai assisted code review Review

Users of AI-assisted code review tools generally praise the automation and efficiency gains they provide. Many developers appreciate the early bug detection and the ability to maintain consistent coding standards across projects. Some users note that while AI-assisted tools are valuable, they should be used in conjunction with manual code reviews for a comprehensive approach. A few users mention that the initial setup and configuration of the tools can take some time, but the long-term benefits outweigh the initial effort.

Who is suitable to use ai assisted code review?

A developer submits a pull request, and the AI-assisted code review tool automatically analyzes the code changes, identifying potential issues and providing suggestions for improvement.

The tool highlights security vulnerabilities in the code, allowing the developer to address them before merging the changes.

The AI-assisted tool enforces coding style guidelines, ensuring consistency across the project and reducing the need for manual style checks.

How does ai assisted code review work?

To implement AI-assisted code review, developers typically integrate a code review tool into their development workflow. This may involve configuring the tool to analyze the codebase, setting up rules and preferences, and connecting it to the version control system. Developers then submit their code changes for review, and the AI-assisted tool automatically analyzes the code, providing feedback and suggestions. Reviewers can then assess the automated feedback alongside their manual review, making the process more efficient and comprehensive.

Advantages of ai assisted code review

Early detection and prevention of bugs and vulnerabilities

Improved code quality and maintainability

Increased development efficiency and faster feedback cycles

Consistent coding style and adherence to best practices

Reduced manual effort in identifying common issues

FAQ about ai assisted code review

What is AI-assisted code review?
How does AI-assisted code review work?
What are the benefits of using AI-assisted code review?
Can AI-assisted code review replace manual code reviews?
What programming languages are supported by AI-assisted code review tools?
How can I integrate AI-assisted code review into my development workflow?