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.
Pull Assistant analyses pull requests and provides the optimal way to perform code reviews
DO NOT MERGE – as a service
Find accessibility issues in your pull requests
Automated code reviews
Advanced static analysis for automatically finding runtime errors in JavaScript code
YAML configs and K8s manifests validation tool
Automated code reviews to help developers ship better software, faster
Automatically analyze pull request against custom per-project rulesets and best practices
Automated code review for technical debt and test coverage
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
Code Review & Collaboration for Jupyter Notebooks
Lift helps you find and fix your most elusive bugs so you can spend time writing great code, not debugging it
Automate code reviews, analyze and scan code at each push/pull request
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