Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
No Sourcery videos yet. You could help us improve this page by suggesting one.
Sourcery might be a bit more popular than Codacy. We know about 5 links to it since March 2021 and only 4 links to Codacy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 3 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: almost 4 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / about 4 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / about 4 years ago
In my experience, the developer tools that really catch on do so via word of mouth. For example, our whole team recently adopted https://sourcery.ai/ (not an ad) because one developer tried it and hyped it up to everyone else who also liked it. - Source: Hacker News / about 2 years ago
To those that wish to automate a subset of these conventions, there is a tool called Sourcery[1] that I, personally, am a huge fan of! Not only does it have a large set of default rules[2], but it can also allow you to write your own rules that may be specific to your team or organization, and as mentioned it can enable you to follow Google's Python style guide as well[3]. There are some refactorings that Sourcery... - Source: Hacker News / over 2 years ago
During development, tools like Sourcery could show you improvements for code quality. Source: over 2 years ago
One of the first tools I install when setting up my Python dev environment is Sourcery. This still uses AI/ML to suggest code improvements to your Python code, but unlike GitHub's Copilot, it won't write code for you. - Source: dev.to / over 2 years ago
Looks downright wicked https://sourcery.ai/. Source: over 2 years ago
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Sweep AI - AI junior dev: transform bugs & feature requests into code
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Cxxdroid - Cxxdroid – C++ compiler IDE for mobile development is an educational-oriented application that is used to practice code editing and program writing, checking files, and many more with UI designed with speed and usability of mind.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
Source Insight - Source Insight is a programming editor & code browser with built-in live analysis for C/C++, C#, Java, and more; helping you understand large projects.