
Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
codebeat
Azure DevOps
Jenkins
CircleCI
Travis CI
Helix ALM
GitLab
Git
GitHub
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.
Codacy
Azure DevOpsBased on our record, Azure DevOps seems to be a lot more popular than Codacy. While we know about 105 links to Azure DevOps, we've tracked only 4 mentions of 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 4 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: about 5 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 / over 5 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 / over 5 years ago
The pattern runs on Azure DevOps, Azure Functions, and Azure OpenAI via AI Foundry. No preview program required โ these are all generally available services. The full implementation walkthrough, including the ChatCompletionsClient setup and the webhook-to-function wiring, is in the Microsoft Tech Community post. - Source: dev.to / 3 months ago
I also highly recommend Git and Azure DevOps for continuous delivery. - Source: dev.to / 9 months ago
CI/CD can take different forms. You might see it running through GitHub Actions, GitLab Pipelines, Azure DevOps, or AWS CodePipeline. In each case, the goal is to make deployments consistent, fast, and safe. - Source: dev.to / 11 months ago
CI/CD on Azure means using Azure DevOps (or GitHub Actions, also supported by Azure) to automate the software lifecycle. - Source: dev.to / 11 months ago
Azure DevOps is Microsoftโs integrated suite (Azure Repos for Git, Azure Boards for work tracking, Azure Pipelines for CI/CD, etc.) that many enterprises adopt to manage their software development lifecycle. - Source: dev.to / about 1 year 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.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
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.
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CIโs precision syntaxโall with the developer in mind.