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
🔬 Common problems to look for in a code review
Let ChatGPT review PRs for you
Web-based Source Code Vulnerability Scanner
/:\ gitStream - Workflow automation for your git repo. Use YAML to auto-assign reviewers, auto-merge PRs, automatic PR labeler, and more.
⚙️ Scan your Go, Java, Kotlin, PHP, Python, JavaScript, TypeScript, .NET projects at GitHub with Qodana. This repository contains Qodana for Azure, GitHub, CircleCI and Gradle
A GitHub Action that automatically requests review of a pull request based on files changes and/or groups the author belongs to 🤖
A concise guide to writing better code
Chrome and Firefox extension for Conventional Comments in GitHub UI.
Github app that keeps track of bug-prone files from commit history.
A GitHub Action that uses OpenAI ChatGPT to do code review
👓 Code reviews for everyone.
A chrome web extension for improving code reviews on Github or Azure DevOps
A command line tool that calculates pull-request and issue metrics given a GitHub repository
AI Code Review is a lightweight, simple GitHub Action that supports various AI models to analyze and provide feedback on your code. This GitHub Action helps improve code quality by automatically reviewing pull requests, focusing on specified file extensions, and excluding specific paths.
(no longer maintained) GitHub Code Review Assistant tool is a userscript (lightweight extension) for Firefox / Chrome
Let AI do code review.
A GitHub Action that uses the OpenAI API to leave code review comments when Pull Requests are enabled.
Advanced static analysis for automatically finding runtime errors in JavaScript, TypeScript, React, and Vue code
Review tool for Jupyter Notebooks
Find bugs that tests and static analysers miss
The Code Health platform - Everything you need to build maintainable and secure software
Always ready to code - Spin up fresh cloud development environments for each task, fully automated, in seconds
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
Code review assignment and custom workflows for teams
Pull requests automation service. Merge your pull requests faster with automatic merges and a merge queue
Ensure that new code is fully covered, and see coverage trends emerge. Works with any CI service
Find accessibility issues in your pull requests
Pull Assistant analyses pull requests and provides the optimal way to perform code reviews
Automatically validates pull requests, branches and commit messages in your Github repositories
Monitor and discuss your Pull Requests right within Slack
Code quality and coverage done right
CommitCheck ensures your commit messages are consistent and contain all required information