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.
This repo is a copy of the original Mc-Trial-3-project in order to do a self-code review, the source code was added, committed, and pushed to a new branch and this one has been reviewed after the pull request.
PRAticando Git com Alegria (praga) é um repositório para prática de Git, PR e Code Review
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Official website for LlamaPReview Github APP: AI-powered GitHub Code review assistant. Showcases features, usage, and benefits of our GitHub App.
This course introduces more advanced tools to increase the reproducibility of data analyses; building upon the Intro to Reproducibility course. GitHub, Docker, Code Review, and GitHub actions are discussed.
This course introduces the concepts of reproducibility and replicability in the context of cancer informatics. It is the first course in a two part course on reproducibility. It uses hands-on exercises to demonstrate in practical terms how to increase the reproducibility of data analyses.
This is the new GDSC project, you can see how we can share our folder in the same repository.
Repository for code for Stack Exchange sites.
Assinatura de Commits/ template para Pull Requests
This project utilizes Heroku to create review apps for pull requests in GitHub. It also uses AutoIdle to automatically put review apps to sleep when not in use, saving you money.
Tanji is a Python encryption library that provides a secure and flexible solution for encrypting and decrypting messages. It leverages both symmetric and asymmetric encryption techniques to ensure the confidentiality and integrity of your data.
Automatically validates pull requests, branches and commit messages in your Github repositories
Codacy helps to build effortless code quality and security for developers
Monitor and discuss your Pull Requests right within Slack
Instant AI code review for any PR
Review tool for Jupyter Notebooks
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
Review PRs up to 40% faster. Pinpoint highest tech debt directories. Most engineer-friendly Developer Analytic velocity stats
Pull Assistant analyses pull requests and provides the optimal way to perform code reviews
The Code Health platform - Everything you need to build maintainable and secure software
Ensure that new code is fully covered, and see coverage trends emerge. Works with any CI service
Pull requests automation service. Merge your pull requests faster with automatic merges and a merge queue
Catch more Python and Django bugs during code review
Advanced static analysis for automatically finding runtime errors in JavaScript, TypeScript, React, and Vue code
DO NOT MERGE – as a service
Expert On-Demand Code Review as a Service