Alternatives to What The Diff
Compare What The Diff alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to What The Diff in 2026. Compare features, ratings, user reviews, pricing, and more from What The Diff competitors and alternatives in order to make an informed decision for your business.
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1
JetBrains Junie
JetBrains
Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time. Junie adapts seamlessly to your workflow, providing plans for execution and collaborating on complex coding tasks through different modes like code mode and ask mode. It understands project structure and logic, helping to find efficient solutions and maintain clean, production-ready code. Users can rely on Junie to run tests and verify changes, keeping projects stable and reducing compilation errors. With real-world examples from developers creating games and apps, Junie proves to be a versatile and intelligent assistant for coding projects of various scopes. -
2
Amp
Amp Code
Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.Starting Price: Free -
3
Gemini Code Assist
Google
Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.Starting Price: Free -
4
Cody
Sourcegraph
Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude Sonnet 4 and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.Starting Price: $59 -
5
GitHub Copilot
GitHub
GitHub Copilot is an AI-powered development assistant designed to accelerate software workflows from the editor to the enterprise. It works directly inside popular IDEs, terminals, and GitHub itself to help developers write, understand, and improve code faster. Copilot supports multiple leading large language models, allowing users to optimize for speed, accuracy, or cost. Developers can use Copilot to complete code, explain concepts, propose edits, and validate files in real time. It also enables agent-based workflows where Copilot can autonomously handle issues, write code, and create pull requests. With seamless integration across tools, Copilot keeps developers focused without breaking their flow. GitHub Copilot is built to scale from individual developers to large organizations with enterprise-grade controls.Starting Price: $10 per month -
6
Claude Code
Anthropic
Claude Code is an AI-powered coding assistant designed to work directly inside your existing development environment. It goes beyond simple autocomplete by understanding entire codebases and helping developers build, debug, refactor, and ship features faster. Developers can interact with Claude Code from the terminal, IDEs, Slack, or the web, making it easy to stay in flow without switching tools. By describing tasks in natural language, users can let Claude handle code exploration, modifications, and explanations. Claude Code can analyze project structure, dependencies, and architecture to onboard developers quickly. It integrates with common command-line tools, version control systems, and testing workflows. This makes it a powerful companion for both individual developers and teams working on complex software projects.Starting Price: $20/month -
7
Qodo
Qodo
Qodo (formerly Codium) analyzes your code and generates meaningful tests to catch bugs before you ship. Qodo maps your code’s behaviors, surfaces edge cases, and tags anything that looks suspicious. Then, it generates clear and meaningful unit tests that match how your code behaves. Get full visibility of how your code behaves, and how the changes you make affect the rest of your code. Code coverage is broken. Meaningful tests actually check functionality, giving you the confidence needed to commit. Spend fewer hours writing questionable test cases, and more time developing useful features for your users. By analyzing your code, docstring, and comments, Qodo suggests tests as you type. All you have to do is add them to your suite. Qodo is focused on code integrity: generating tests that help you understand how your code behaves; finding edge cases and suspicious behaviors; and making your code more robust.Starting Price: $19/user/month -
8
CodeRabbit
CodeRabbit
Privacy-focused, contextual pull request reviews with line-by-line code suggestions and interactive chat that gets smarter over time. The diff in the pull request is transformed into a clear summary, helping you understand the intent of the changes. Creates automated release notes, convenient for inclusion in the release documentation. A detailed, line-by-line analysis of the code changes provides precise and actionable suggestions ready to be committed. Ask questions to the bot within your code lines, provide more context, and have it write the code. The more you chat with the bot, the smarter it will become. Shorten cycle time with faster review feedback and high-quality code change suggestions. Your data stays confidential and solely fine-tunes your reviews. The system learns from your interactions, refining the reviews to align with your preferences.Starting Price: $12 per month -
9
Macroscope
Macroscope
Macroscope is an AI-powered analytics and visibility tool for engineering and product teams that connects directly to a company’s codebase, commit history, issue/ticket systems like Linear or Jira, and Slack, in order to automatically generate insights about what is happening in the development workflow. It analyzes changes via code-walking the Abstract Syntax Tree (AST) to understand relationships and dependencies in code, then produces summaries of commits, pull requests (including auto-reviews and PR descriptions), overall codebase changes, and trends in feature development or bug resolution. Stakeholders can ask natural language questions about progress (“What did we ship last week?” etc.), see how engineering time is allocated, detect high-signal bugs with fewer false positives, and track productivity and status without needing to dive into all the individual diffs.Starting Price: $30 per month -
10
devlo
devlo AI
devlo is an AI-powered development assistant designed to help teams accelerate their software development process by automating tasks such as bug fixing, feature development, code enhancements, and automated testing. The platform integrates seamlessly with GitHub repositories, enabling developers to resolve tickets, review pull requests, and generate unit tests with minimal effort. devlo’s AI capabilities allow it to understand and validate code changes, automate follow-up tasks, and provide expert-level code reviews in under a minute. By handling routine development tasks, devlo empowers teams to focus on innovation and ship products faster, while ensuring high-quality, secure code. It supports all major programming languages and is built with enterprise-grade security and privacy in mind.Starting Price: $39/month -
11
Sourcery
Sourcery
Sourcery is an AI-powered automated code review and coding assistant designed to help developers and engineering teams improve code quality, catch bugs and security issues early, and maintain consistent standards across projects. It integrates directly into popular development workflows, including GitHub, GitLab, and IDEs like VS Code and JetBrains, providing instant, actionable feedback on pull requests and in-editor code changes rather than relying solely on traditional peer reviews. Sourcery analyzes diffs with a combination of large language model insights and static analysis to deliver clear summaries, line-by-line suggestions, high-level feedback, and visual diagrams that explain proposed changes, with the goal of offering review quality similar to what a colleague would provide. In the IDE, it functions as a real-time pair programmer that underlines potential improvements, enables one-click application of suggested fixes, and offers an AI chat.Starting Price: $12 per month -
12
cubic
cubic
Cubic is an AI-powered code review platform that automatically analyzes pull requests in GitHub to help software teams catch bugs, enforce standards, and ship code faster by reducing manual review bottlenecks. It delivers context-aware feedback seconds after a PR is opened by examining the full repository history and patterns, surfacing inline comments that highlight bugs, anti-patterns, technical debt, and improvement suggestions that human reviewers might miss, and providing one-click fix options for simple issues. Cubic can generate clear PR summaries that explain the intent and impact of changes, intelligently order complex diffs into easier-to-review chunks, and offer a context-aware chat interface that lets developers ask questions or explore the codebase directly within the platform. Teams can define custom review rules and integrate business context from issue trackers like Jira, Linear, or Asana so that code reviews validate acceptance criteria as well as technical quality.Starting Price: $24 per month -
13
Bugbot
Cursor
Bugbot is an AI-powered code review agent that automatically reviews pull requests to identify bugs, security issues, and code quality problems. Built into the Cursor ecosystem, Bugbot analyzes PR diffs and leaves contextual comments with clear explanations and fix suggestions. It runs automatically on every pull request update or can be triggered manually using comments. Bugbot reads existing PR discussions to avoid duplicate feedback and build on prior context. The tool supports customizable rules through configuration files and team-wide policies to enforce coding standards. Bugbot integrates seamlessly with GitHub, GitLab, and enterprise repositories. It helps development teams catch issues early and improve code quality without slowing down workflows. -
14
Callstack.ai PR Reviewer
Callstack.ai
AI-powered pull request reviewer with deep contextual insights, tailored feedback, and one-click automated setup. Callstack.ai PR Reviewer saves you time and lowers error risk with automatic PR summaries, security & bug checks, and performance optimization suggestions. Automatic PR Summaries Understand code changes quickly with auto-generated summaries and diagram. Context-Aware Feedback Callstack.ai aligns with your team’s coding standards by understanding the core structure of your code for context-driven insights. Customizable Reviews Tailor Callstack.ai to provide feedback that aligns with your unique coding standards and requirements. Compatible with Major Programming Languages We currently support repositories written in the following languages: javascript, typescript, python, java, kotlin, php, go, ruby, rust, react & vue.Starting Price: $285/month (per 100 reviews) -
15
Gitya
Gitya
Leverages advanced AI to manage and automate minor tasks. Streamlines pull request processes with automated reviews and responses. Simply label a ticket with Gitya, and let our AI handle minor tasks swiftly. Seamlessly integrates with your existing GitHub workflow. -
16
GitChat
GitChat
Improve your code and catch bugs faster with AI-generated summaries and real-time chat. Get instant context with AI summaries on every pull request, helping your team save time on code reviews. Enhance code quality and ship faster with instant, actionable feedback on every pull request. Use GitHub Pull Request Comments to chat with AI to uncover issues and get instant feedback on your code. Customize your code review assistant by setting up rules and filters to meet your team's needs and get optimal results. Supercharge your code reviews with GitChat. Improve your code quality and ship products faster.Starting Price: Free -
17
Code Climate
Code Climate
Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day. -
18
Fine
Fine.dev
Fine is an AI-powered development platform designed to assist startups by automating tasks throughout the software development lifecycle. It offers a range of AI agent workflows for coding, debugging, testing, and code review, allowing teams to ship daily improvements and resolve pull requests faster. Fine can autonomously create and implement code, conduct pull request reviews, generate tests, and handle common issues without constant human input. The platform integrates seamlessly with GitHub and supports asynchronous work, making it particularly suitable for fast-paced startups. With real-time feedback and live previews, Fine improves productivity and streamlines the development process.Starting Price: $15 per month -
19
Squire AI
Squire AI
Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.Starting Price: $20 per month -
20
Astronuts
Astronuts
Astronuts is an AI-powered code review platform designed to streamline the development process by automating code reviews and bug fixes. Developers can initiate code analysis with a simple command, receiving line-by-line smart comments and auto-fix suggestions. The platform offers features such as pull request summaries, code quality metrics, and change logs, all accessible through a user-friendly interface. Astronuts integrates seamlessly with GitHub, allowing teams to monitor pull request batch sizes and code health metrics, thereby reducing code review time and minimizing bugs. The platform also provides real-time chat for code-related queries, configurable behavior settings, and gateway rules to enforce code quality standards. With support for multiple programming languages and build systems, Astronuts caters to diverse development environments. The platform offers a free trial with $5 in credits, enabling teams to experience its benefits without initial costs.Starting Price: $8 per month -
21
Pull Sense
Pull Sense
Pull Sense is an AI-powered code review assistant designed to enhance development workflows by automating pull request reviews within GitHub. It provides instant, intelligent feedback on code changes, identifying potential bugs, security vulnerabilities, and areas for improvement, thereby streamlining the review process and maintaining consistent coding standards. Users can integrate their own AI models, such as Anthropic, OpenAI, or Deepseek, by utilizing their API keys, ensuring flexibility and control over the review process. The platform generates contextual inline comments directly within pull requests, offering actionable insights without disrupting existing workflows. Teams can define and enforce custom coding standards through flexible configuration options, promoting uniformity across codebases. With a quick setup process, Pull Sense seamlessly integrates with GitHub, allowing users to start reviewing code in minutes. -
22
Pullflow
Pullflow
Collaborate with each other and AI in the most natural way without leaving your favorite tools - minimizing distraction and context switching. Pullflow synchronizes user identities and code-review activity across GitHub, Slack, and VS Code, enabling you to converse naturally across platforms. Take action from wherever you are, and return to your flow. Pullflow integrates with GitHub Actions, external CI/CD, GitHub apps, and more, to bring you a single view of your pull request from draft and review to test and deploy. Let Pullflow take care of quick actions for you with just a chat mention or IDE keyboard shortcut. Request review, add/remove labels, give feedback, approve, and more, without a trip to GitHub.Starting Price: $5 per user per month -
23
mrge
mrge
mrge helps modern software teams ship higher-quality code, 4x faster. Get immediate feedback on every PR with AI that learns from your codebase. mrge's UI is designed to optimize how humans review code. No more merge bottlenecks, use stacked PRs to code on top of open branches. Teams that adopt mrge ship more code with smaller PRs and faster review cycles. AI-sorted diffs and review changes in the most logical order. Blitz through your pull requests with an organized inbox. Your code stays yours, always; we don’t store or mine it for data. We're currently in the process of obtaining our SOC 2 certification. mrge provides AI reviews code in real time, then wipes everything clean. Fly through PRs with keyboard shortcuts for everything. mrge offers smart, actionable alerts so you never miss a thing.Starting Price: $30 per month -
24
Graphite
Cursor
Streamline Git commands and seamlessly stack pull requests from your terminal. Create and edit stacked PRs visually without leaving your IDE. Stay on top of every PR and review request in one unified inbox. Get immediate, actionable feedback on every pull request with Graphite's codebase-aware AI. Eliminate merge conflicts and keep your main branch green, whether you're a team of 10 or 10,000. Accelerate your team with powerful, real-time developer metrics. A faster, more intuitive Git interface, designed to make stacking effortless. Run gt create again to stack another branch on top of your previous changes without waiting for them to merge into the main. Automatically sync your local stack with remote changes, and clean up stale branches with gt sync. Update changes across your stack with gt modify. Graphite handles all of the recursive rebasing for you. Create or update PRs for every branch in your stack with gt submit.Starting Price: $99 per month -
25
Trag
Trag
Empower engineering teams to save time and focus on what they do best, which is building products. Create your own patterns, and describe what you will look like while reviewing, Trag will do it before you jump in. Create rules for your use cases for your team, as many as you want, as thorough as you want. Monitor the progress, all the failing rules can be recovered by our AI. We never commit directly, you will get PR with the fix. Connect multiple repositories, multiple repositories at your hand. Invite and collaborate with your teammates. Trag will automatically review PRs with written patterns. Monitor pull request analytics and make faster, better decisions. Write your own patterns using natural language. Trag will automatically match rules with the PR changes and will automatically fix them. Every single piece of data is encrypted and secure, we never commit directly, only through PRs, and we don't use your code for any development purposes. -
26
Bito
Bito
Bito uses AI to streamline code reviews, making them faster and more consistent. The AI Code Review Agent understands the broader codebase and delivers precise, context-aware suggestions on pull requests. Engineering teams rely on Bito to speed up review cycles, catch regressions early, and improve code quality. It integrates with GitHub, GitLab, and Bitbucket, and installs with a single click. No code is stored, and no models are trained on your data.Starting Price: $15/seat/month -
27
Tusk
Tusk
Save time and effort by assigning smaller tickets to an AI agent. Tusk helps software engineers complete chore tickets at the speed of thought. Tusk automatically iterates on its code changes to address any code reviews left on the pull request. No good engineer pushes code without testing. Tusk runs your automated checks and tests to make sure the PR works. If we can’t create a pull request, we’ll still save you time by providing code context as a jumping-off point. With Tusk, you can avoid getting distracted by your PMs over chore tickets. Focus your time on fulfilling work, while also raising the bar on your product. Customer-reported bugs can be time-consuming to investigate and tackle. Let Tusk have the first pass at fixing them. We know you have better things to do than removing a word in a header or finding and replacing a term across multiple files. Have Tusk go through your product quality backlog. We'll implement the UI/UX changes that you've been neglecting for weeks.Starting Price: $495 per month -
28
DeepSource
DeepSource
DeepSource is an AI-powered code review platform designed to help development teams maintain high-quality, secure, and reliable code. The platform automates code reviews using a hybrid approach that combines static analysis with advanced AI agents. It integrates directly with development workflows through platforms like GitHub, GitLab, Bitbucket, and Azure DevOps. DeepSource analyzes pull requests in real time, identifying bugs, security vulnerabilities, code complexity issues, and maintainability risks before code reaches production. The system provides structured feedback and inline comments to help developers quickly understand and resolve issues. Additional features such as secrets detection, dependency vulnerability scanning, and infrastructure-as-code review strengthen application security. By automating repetitive review tasks and providing intelligent insights, DeepSource enables teams to ship software faster while maintaining strong code quality standards.Starting Price: $24/user/month -
29
ThinkReview
ThinkReview
ThinkReview is an AI-powered code-review tool built for developers using GitLab and Azure DevOps that delivers instant analysis of merge requests and pull requests directly in the browser. Without requiring complex setup or configuration, it detects when you are viewing a MR/PR, fetches the code changes, and displays an AI-generated review panel that includes summaries, security findings, quality suggestions, and auto-generated review comments. Users can engage in chat-style interaction with the changes, ask questions, regenerate review perspectives, and receive smart follow-up questions for discussion. It supports both self-hosted and cloud instances, works out of the box, and is available as a browser extension containing features such as automatic detection of MRs/PRs, smart summaries, comment generation, and multilingual support. Built for speed and ease, ThinkReview focuses on improving code quality and accelerating review cycles by embedding AI into existing workflows.Starting Price: $6.99 per month -
30
Digma
Digma
Using runtime information, Digma integrates into your IDE to continuously highlight issues, regressions, and problems, as you code. Immediately see how any function scales in CI or production and spot issues while still in development. Accelerate code changes and avoid endless regressions, by analyzing how the code performs, Digma provides critical analytics on usage, errors, and performance baselines to make sense of forgotten code and ownerless libraries. Immediately understand what’s causing bottlenecks and slowdowns in your code. With valuable data such as code execution times, scaling limitations, and N+1 query issues – you can quickly fix it. Pull Request feedback and code review annotation get way easier when your team integrates Digma into your GitOps cycle. Digma lets you understand it and start working on it fearlessly – no matter how large or complex. -
31
Ellipsis
Ellipsis.dev
Ellipsis is an AI-powered code review and bug-fixing platform that integrates directly into GitHub pull requests. It automatically reviews every commit to detect logical bugs, antipatterns, and style guide violations across all programming languages. Ellipsis goes beyond basic reviews by acting as an AI teammate that can answer questions, generate code, and fix build issues. Developers can assign tasks to Ellipsis using GitHub comments and receive working, tested code in minutes. The platform supports style guide–as–code, allowing teams to define standards in natural language. Ellipsis prioritizes security with SOC 2 certification and zero source code retention. It helps engineering teams ship higher-quality code faster without increasing review overhead.Starting Price: $20/developer/month -
32
Korbit
Korbit
Korbit is an AI-powered code review platform designed to enhance developer productivity by providing real-time, actionable feedback within pull requests. It integrates seamlessly with GitHub, GitLab, and Bitbucket, offering instant PR code reviews that identify issues and suggest fixes, akin to a human reviewer but faster. Korbit generates comprehensive PR descriptions, clarifying the context and purpose of changes, and writes summaries of its code reviews to help teams focus on critical issues. It offers a management dashboard that delivers insights into code quality, project status, and developer performance, aiding in effective team management. Korbit's adaptive reviews utilize deep project context, feedback, and custom settings to detect high-impact issues and provide explanations on how to resolve them. It also responds to questions and comments within the PR, offering replacement code to guide developers through any issues.Starting Price: $9 per month -
33
Devgen
Devgen
Devgen is a codebase research assistant that helps you read large codebases with ease. Quickly get precise answers, with relevant code references, to verify the information you need. Effortlessly bring GitHub issues into your chat. Simply right-click on any issue page, choose "add to chat," and the issue is instantly set up for discussion. Quickly access the issue’s related code and pull requests. Effortlessly draft and discuss solutions for the issue directly in the chat. Learn about the pull request with natural language. Use natural language to review pull requests. Devgen is an AI assistant designed to provide deep insights into your GitHub repository by analyzing code, issues, pull requests, and releases. Accessible as a Chrome extension, it integrates directly with GitHub, allowing for seamless, side-by-side interaction as you work.Starting Price: $10 per month -
34
Charlie
Charlie Labs
Charlie Labs offers Charlie, an AI-powered autonomous engineering assistant that helps software teams ship code faster by automating coding tasks, pull request reviews, bug fixes, feature implementation, and other development work directly within existing workflows. Charlie integrates seamlessly with tools developers already use, such as GitHub, Slack, Linear, Sentry, and Vercel, and operates where work happens by listening for events like pull requests or mentions, then generating high-quality TypeScript code, opening or updating branches, and creating pull requests with clean commits and passing tests without manual intervention. It can catch bugs, provide actionable inline feedback, produce feature code and refactor from issue descriptions, and respond to natural language requests within team communication tools so engineers can focus on strategy and design instead of repetitive implementation tasks.Starting Price: $500 per month -
35
GitPack
GitPack
GitPack AI is an AI-driven code review tool that integrates seamlessly with GitHub repositories, providing automated, context-aware feedback on pull requests. Once installed via a one-click process from the GitHub Marketplace, it operates in the background, reviewing code changes as they are submitted. It leverages OpenAI's GPT-4o model to deliver line-by-line code analysis, offering smart, tailored testing suggestions specific to each project. This approach helps maintain coding standards, catch bugs early, and improve overall code health across development teams. GitPack AI requires no setup and is designed to scale with your team's needs, supporting unlimited public and private repositories. It aims to automate routine code reviews, allowing developers to focus on writing new features rather than manual checks.Starting Price: $5 per month -
36
GitHub Desktop
GitHub
Focus on what matters instead of fighting with Git. Whether you're new to Git or a seasoned user, GitHub Desktop simplifies your development workflow. Quickly add co-authors to your commit. Great for pairing and excellent for sending a little love/credit to that special someone who helped fix that gnarly bug of yours. See the attribution on the history page, undo an accidental attribution, and see the co-authors on GitHub. See all open pull requests for your repositories and check them out as if they were a local branch, even if they're from upstream branches or forks. See which pull requests pass commit status checks, too! The new GitHub Desktop supports syntax highlighting when viewing diffs for a variety of different languages. Easily compare changed images. See the before and after, swipe or fade between the two, or look at just the changed parts. Open your favorite editor or shell from the app, or jump back to GitHub Desktop from your shell. -
37
Sweep AI
Sweep AI
Spend time reviewing code generated by AI, not writing it. Sweep generates repository-level code at your command. Cut down your dev time on mundane tasks, like tests, documentation, and refactoring. Review all changes by Sweep, directly in Github, and comment if any changes need to be made. Push the commit if all looks good. All you have to do is write a ticket, and Sweep will do all of the heavy-lifting for you, allowing you to focus on the more important engineering problems. -
38
Kilo Code Reviewer
Kilo Code
Kilo Code Reviewer is an AI-powered automated code review tool that analyzes pull requests the moment they are opened or updated, understands the changes in context, and provides actionable feedback, including inline comments, explanations, and suggestions to catch bugs, security issues, performance problems, style violations, test gaps, and documentation omissions before human review. It integrates with GitHub, GitLab, and (soon) Bitbucket, lets users choose from a wide selection of models and customize review strictness and focus areas to match team standards, and can be run locally in IDEs like VS Code or JetBrains to catch issues before commit. The setup is simple, connect a repository, select an AI model and review style, and the agent runs automatically on PRs, helping enforce coding standards consistently and complement human reviewers with instant, context-aware insights.Starting Price: Free -
39
Codacy
Codacy
Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/Starting Price: $15.00/month/user -
40
diffray
diffray
diffray is an AI-powered code review tool that uses a coordinated multi-agent system of specialized agents to analyze your codebase deeply, understand context, and deliver focused, actionable feedback on pull requests instead of generic suggestions and style nitpicks. Unlike single-model reviewers, diffray deploys multiple expert agents across domains such as security, performance, bugs, quality, architecture, testing, and consistency to investigate, verify, and validate issues with confidence scoring, reducing false positives while surfacing real problems like vulnerabilities, concurrency issues, missing tests, and architectural anti-patterns. It integrates with GitHub via a simple setup, reviews every pull request automatically, and enforces team-defined practices as “culture as code,” giving consistent, repeatable guidance across contributors and accelerating development cycles.Starting Price: $19 per month -
41
Baz
Baz
Baz delivers the context and automation to review, track, and approve code changes with confidence. Baz transforms your code review and merging process by giving instant application insights and suggestions, helping you focus on building and shipping strong software. Baz organizes your pull request into Topics, so you can breeze through reviews with a clear structure. Baz uncovers breaking changes across APIs, endpoints, parameters, and more, analyzing how every piece fits together. Developers can review, comment, and suggest wherever they want. We'll make sure it's fully visible both on GitHub and Baz. The only way to predict the true impact of a code change is through structured impact analysis. Baz integrates AI and your developer tools to analyze your codebase, map dependencies, and provide actionable reviews that ensure your code’s stability. Plan your proposed changes and invite your team to review them. Easily assign relevant reviewers based on past contributions.Starting Price: $15 per month -
42
GitLab Duo
GitLab
Ship more secure software faster with AI throughout the entire software development lifecycle GitLab Duo is an AI-powered assistant integrated into the GitLab platform, designed to enhance software development productivity and collaboration. It provides intelligent code suggestions, helps refactor and debug code, and streamlines workflows by automating repetitive tasks. GitLab Duo also supports natural language queries for project management and development insights, enabling developers to interact with their repositories more intuitively. Integrated with popular IDEs like JetBrains and Neovim, GitLab Duo ensures seamless assistance within developers' preferred environments. By combining AI-driven efficiency with GitLab’s robust DevSecOps features, GitLab Duo empowers teams to deliver high-quality software faster and more collaboratively.Starting Price: $19/user/month -
43
Matter AI
Matter AI
Matter AI is an AI-powered code reviewer designed to streamline pull request workflows by generating detailed, context-aware summaries in seconds, eliminating the need for manual writing. It enhances code quality by identifying bugs, security risks, and performance issues before they reach production. By integrating with internal tools like Notion, JIRA, Confluence, and Linear, Matter AI provides reliable and trusted summaries and code analysis. Its AI explanations help reviewers understand complex code instantly, making approvals smoother and reducing review cycles. Matter AI operates with a strong emphasis on security, being SOC 2 Type II certified, and ensures data privacy by processing code in isolated environments without storing proprietary code. This tool is ideal for development teams aiming to accelerate their code review process while maintaining high standards of code quality and security.Starting Price: $12 per month -
44
Palmier
Palmier
Palmier lets you trigger AI agents from GitHub events to generate merge‑ready pull requests that fix bugs, write documentation, and review code without manual intervention. By connecting GitHub or Slack triggers, such as pull request opens, updates, merges, or issue labels, to prebuilt or custom agents, you can auto‑implement features, run security scans, refactor code, generate tests, and update changelogs in parallel, all within isolated sandboxes that never store your code or use it for model training. With drag‑and‑drop‑style integrations for GitHub, Slack, Supabase, Linear, Jira, Sentry, AWS, and more, Palmier delivers real‑time, ready‑to‑merge PRs with 45 percent lower review latency and unlimited parallel runs. Its MIT‑licensed agents operate in secure, ephemeral environments under your permission controls, ensuring full data privacy and compliance with your workflow.Starting Price: $30 per month -
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Codeball AI
Codeball AI
Codeball is a code review AI that scores pull requests on a grade from 0 (needs careful review) to 1. Use Codeball to add labels to help you focus, auto-approve PRs, and more. The Codeball action is easy to use (sane defaults) and is highly customizable to fit your workflow when needed. Label PRs when you should review them with caution. Stay sharp, don't let the bugs pass through. Identifies and approves or labels safe PRs. Save time by fast-tracking PRs that are easy to review. Fully customizable and programmable with GitHub Actions. Codeball Actions are built on multiple smaller building blocks, that are heavily configurable through GitHub Actions. Codeball uses a deep learning model that has been trained on over 1 million Pull Requests. For each contribution, it considers hundreds of inputs. Codeball is optimized for precision, which means it only approves contributions that it's really confident in.Starting Price: Free -
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Amazon Q Developer
Amazon
Amazon Q Developer is a generative AI–powered coding assistant from AWS that helps developers accelerate the entire software development lifecycle. It integrates directly into popular IDEs like JetBrains, VS Code, Visual Studio, and Eclipse, providing real-time code suggestions, refactoring, documentation, and debugging assistance. Beyond coding, Amazon Q Developer supports agentic capabilities—autonomously performing tasks like feature implementation, testing, and modernization of applications. As an AWS-native expert, it helps optimize cloud resources, diagnose issues, and guide users through architectural best practices. The platform also enables seamless data and AI integration, allowing developers to build analytics and ML applications using natural language. With up to 80% faster development speed and 40% productivity gains, Amazon Q Developer delivers enterprise-grade intelligence directly inside the tools developers use every day.Starting Price: $19/month -
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CodeFactor
CodeFactor
Get a glance at code quality for the whole project, recent commits, and the most problematic files. CodeFactor will track new and fixed issues for every commit and pull request. CodeFactor will try to show the most critical issues first based on issue code size, file change frequency, and file size so you can start fixing only what's important. Create and track issues or comments directly from code files or project issues pages. CodeFactor will update the status for GitHub or Bitbucket pull requests as well. CodeFactor allows you to toggle inspection for any repository branch on the fly. CodeFactor integrates with Slack to send code quality notifications for every commit in a branch or pull request. To install, go to the repository settings page. Straightforward pricing based on private repository number. Plain and simple with no hidden fees. Seamless integration into your workflow.Starting Price: $19 per month -
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Cosine Genie
Cosine
Whether it’s high-level or nuanced, Cosine can understand and provide superhuman level answers. We're not just an LLM wrapper – we combine multiple heuristics including static analysis, semantic search and others. Simply ask Cosine how to add a new feature or modify existing code and we’ll generate a step by step guide. Cosine indexes and understands your codebase on multiple levels. From a graph relationship between files and functions to a deep semantic understanding of the code, Cosine can answer any question you have about your codebase. Genie is the best AI software engineer in the world by far - achieving a 30% eval score on the industry standard benchmark SWE-Bench. Genie is able to solve bugs, build features, refactor code, and everything in between either fully autonomously or paired with the user, like working with a colleague, not just a copilot.Starting Price: $20/month -
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Entelligence
Entelligence
Entelligence AI is an AI-powered engineering intelligence platform designed to streamline development workflows, enhance collaboration, and boost productivity across the software development lifecycle. It automates code reviews and pull request (PR) analysis with intelligent agents, cutting review time, surfacing bugs early, and boosting engineering productivity. Entelligence's Deep Review feature detects complex issues across files with deep context analysis of the entire codebase, providing PR summaries, smart comments, and quick fixes. Entelligence AI also offers performance insights, tracking team performance, sprint progress, and code quality, monitoring output per engineer, review depth, and sprint assessments in real-time. Its self-updating documentation feature turns code into clear docs and refreshes them on every commit.Starting Price: $29 per month -
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AllSpice
AllSpice
Accelerate your time to market with AllSpice, enabling modern revision control and collaboration for native electronic designs. Turn those three-hour-long, in-person, and hard-to-schedule meetings into digital, asynchronous design reviews. Run your design reviews like a pull request. Automate your review packages. Generate PCB, schematic, and BOM redlines that automatically highlight your design changes. Like a software diff, but for circuits instead of code. Never make the same mistake twice. Create templates and checklists that auto-populate for new design reviews to remind you (and everyone else in your team) what to watch out for next time. Agile hardware development starts with better design reviews. Start, merge, or approve requests where you can share design updates and ask for feedback. Give people outside your team, like mechanical or firmware engineers, a web browser view of your designs.
