The developer platform for on-demand cloud development environments to create software faster and more securely.
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Updated
Jun 10, 2024 - Java
Code review is systematic examination (sometimes referred to as peer review) of computer source code. It is intended to find mistakes overlooked in software development, improving the overall quality of software. Reviews are done in various forms such as pair programming, informal walkthroughs, and formal inspections.
The developer platform for on-demand cloud development environments to create software faster and more securely.
🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
Quality of Code Review Checker, plugin it as GitHub Action
🔧 JetBrains Qodana’s official command line tool
A terminal UI dashboard to monitor requests for code review across Github and Gitlab repositories.
🔗 Tool for rebasing a chain of local git branches.
CLI powered by AI to help you in your daily tasks
suggestion-bot submits code reviews with suggestions based on your diffs
Automated code reviews via mutation testing - semantic code coverage.
🐶 Automated code review tool integrated with any code analysis tools regardless of programming language
A GitHub App that enforces approval policies on pull requests
reviewdog based GitHub action to run Checkstyle on your Java code.
reviewbot - establish software engineering best practices and efficiently promote them within the organization.
🪄⚓ Location anchors for your code
AI Code Review is a GitHub Action that integrates OpenAI ChatGPT into your code review process, providing automated feedback on pull requests. Improve your code quality and streamline your development workflow with this powerful and customizable AI-driven code review tool.
The Code Collaboration Tool Built for Remote Teams
An extensible and friendly code review tool for projects and companies of all sizes.
A chrome web extension for improving code reviews on Github or Azure DevOps
A software engineering intelligence tool tool to identify and prioritize technical debt and evaluate your efficiency
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
Code Review & Collaboration for Jupyter Notebooks
DO NOT MERGE – as a service
Supercharge your team with contextual code reviews & smart chat that improves over time
Open GitHub Issues in the sidebar
Automated code review for technical debt and test coverage
CommitCheck ensures your commit messages are consistent and contain all required information
AI-enhanced code review collaboration across GitHub, Slack & VS Code
Pull Assistant analyses pull requests and provides the optimal way to perform code reviews
Monitor and discuss your Pull Requests right within Slack
Review PRs up to 40% faster. Pinpoint highest tech debt directories. Most engineer-friendly Developer Analytic velocity stats
Advanced static analysis for automatically finding runtime errors in JavaScript code
Automatically validates pull requests, branches and commit messages in your Github repositories
Find accessibility issues in your pull requests