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.
Automated code reviews to help developers ship better software, faster
Automatically analyze pull request against custom per-project rulesets and best practices
Code Review & Collaboration for Jupyter Notebooks
Review PRs up to 40% faster. Pinpoint highest tech debt directories. Most engineer-friendly Developer Analytic velocity stats
Pull requests automation service. Merge your pull requests faster with automatic merges and a merge queue
Code review expert on demand. Automated for mobile and web
Pull Assistant analyses pull requests and provides the optimal way to perform code reviews
YAML configs and K8s manifests validation tool
AI-powered code review and analysis tool for Python
Catch more Python and Django bugs during code review
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
Ensure that new code is fully covered, and see coverage trends emerge. Works with any CI service
Modern static analysis platform that helps engineering teams ship reliable and secure code
Automated code reviews
Find accessibility issues in your pull requests