DevOps Intelligence #7
?? Hi there, fellow humans! In this issue of DevOps Intelligence, we want to dive into... you guessed it... automation.
While automated code reviews are not necessarily new, they certainly have not stayed the same. As technology is advancing faster than ever with the rise of AI, so is the way we build and review software.
A few questions emerge:
1. Why automate your code reviews?
There is an implicit relationship between code reviews and code quality. Plus, we know that great code quality correlates with developer productivity, product robustness, security, and extensibility, less time and resources spent on maintenance, faster time to market, and decreasing technical debt.
However, manual code reviews can be time-consuming and error-prone, and you can miss important rules that should be checked and enforced in the code. Therefore, automating your code reviews greatly impacts the quality of your code.
Keep reading here to understand why automated reviews should be part of your workflow.
2. Code linters: what are the best practices and limitations?
Code linters have become an increasingly popular tool for improving code quality by examining source code and detecting bugs and errors.
However, while code linters can be extremely useful, they can also introduce several pain points for developers and might not offer comprehensive insights into the codebase.
Let’s see some of the most common drawbacks when using code linters and how code review tools can give you more in-depth insights to improve your code quality.
On April 27th, we did a webinar called?Linter Configuration and Best Practices to Improve Code Quality. Guest speaker?Jeroen Engels, Senior Software Engineer at CrowdStrike and author of?elm-review, joined Lorenzo Gabriele, Software Engineering at Codacy, in discussing code linters. During this talk, they covered the following:
领英推荐
3. What is the future of code reviews?
We are thrilled to announce a groundbreaking new feature that will revolutionize how you approach software quality.
In the past few years, we've integrated nearly every relevant open-source code analysis tool available in a single platform, Codacy Quality, to help teams improve the quality of their software. Now, to take it to the next level, we came up with a new beta feature called Quality AI.
This means that not only are you able to see issues, but also get automatic suggested fixes directly within your Git provider.
How can you test this out for yourself? Quality AI is now open for private beta testing.
?? Access private beta:?https://ai.codacy.com/
Join our upcoming webinar ??:
Stay tuned to the next issue of DevOps Intelligence, where we'll focus on Security! Tell us in the comments what you'd like to learn.