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.
GitHub on steroids
The developer platform for on-demand cloud development environments to create software faster and more securely.
An "Awesome" list of code review resources - articles, papers, tools, etc
nodejsscan is a static security code scanner for Node.js applications.
GitHub Pull Requests for Visual Studio Code
Automated code review for GitHub pull requests.
Automated code reviews via mutation testing - semantic code coverage.
A cryptographically verifiable code review system for the cargo (Rust) package manager.
An extensible and friendly code review tool for projects and companies of all sizes.
Static Code Analysis - 静态代码分析
python安全和代码审计相关资料收集 resource collection of python security and code review
Checklist for code reviews
The Code Collaboration Tool Built for Remote Teams
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Automatically validates pull requests, branches and commit messages in your Github repositories
AI-powered code review and analysis tool for Python
The Code Health platform - Everything you need to build maintainable and secure software
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Lift helps you find and fix your most elusive bugs so you can spend time writing great code, not debugging it
Open GitHub Issues in the sidebar
DO NOT MERGE – as a service
Automated code reviews to help developers ship better software, faster
CommitCheck ensures your commit messages are consistent and contain all required information
Ensure that new code is fully covered, and see coverage trends emerge. Works with any CI service
Smart checklists and automations for your PRs and Issues
Code review expert on demand. Automated for mobile and web
Faster and safer pull requests with AI - automatic labelling, reviewers, reviews and continuous merges
A software engineering intelligence tool tool to identify and prioritize technical debt and evaluate your efficiency
Catch more Python and Django bugs during code review