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.
Monitor and discuss your Pull Requests right within Slack
A Benchmarked Definition of Done for Code Quality with BetterCodeHub
Pull Assistant analyses pull requests and provides the optimal way to perform code reviews
Advanced static analysis for automatically finding runtime errors in JavaScript code
Catch more Python and Django bugs during code review
Review PRs up to 40% faster. Pinpoint highest tech debt directories. Most engineer-friendly Developer Analytic velocity stats
Automate code reviews, analyze and scan code at each push/pull request
Ensure that new code is fully covered, and see coverage trends emerge. Works with any CI service
Code Review & Collaboration for Jupyter Notebooks
Always ready to code - spin up fresh, automated dev environments for each task, in the cloud, in seconds
Automatically analyze pull request against custom per-project rulesets and best practices
Automated code reviews to help developers ship better software, faster
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
YAML configs and K8s manifests validation tool
Lift helps you find and fix your most elusive bugs so you can spend time writing great code, not debugging it