GitHub on steroids
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Updated
Jun 6, 2024 - JavaScript
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.
🐶 Automated code review tool integrated with any code analysis tools regardless of programming language
🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
🚫 Stop saying "you forgot to …" in code review (in Ruby)
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
A cryptographically verifiable code review system for the cargo (Rust) package manager.
Automated code reviews via mutation testing - semantic code coverage.
Automated code review for GitHub pull requests.
Static Code Analysis - 静态代码分析
Code review powered by LLMs (OpenAI GPT4, Sonnet 3.5) & Embeddings ⚡️ Improve code quality and catch bugs before you break production 🚀 Lives in your Github/GitLab/Azure DevOps CI
An extensible and friendly code review tool for projects and companies of all sizes.
AI-based Pull Request Summarizer and Reviewer with Chat Capabilities.
🔬 Common problems to look for in a code review
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
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Code Review & Collaboration for Jupyter Notebooks
CommitCheck ensures your commit messages are consistent and contain all required information
AI-powered code review and analysis tool for Python
Automated code reviews
Monitor and discuss your Pull Requests right within Slack
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Instant AI code review for any PR
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
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