CodeRabbit

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CodeRabbit has hit 20K installs on the GitHub Marketplace! ?? Thanks to our amazing community for making this milestone possible. Together, we’re helping developers streamline workflows, boost productivity, and elevate code quality like never before. If you haven't already, try it free https://hubs.ly/Q02RWzyV0

Do you know? CodeRabbit can suggest labels, reviewers and also other related PRs in your PR. Get notified about the latest updates: https://lnkd.in/e2bBQyP3

The data science community lacks maturity when it comes to coding practices. Even though the awareness grows, many data scientists do not feel comfortable going beyond notebooks,?writing unit tests, or packaging their code. Many are afraid to ask, work in isolation from engineers, and have difficulty producing production-ready code. AI tools can make a real difference here! Everyone has heard about AI coding assistants. Many can not imagine writing code without it anymore. But have you heard about AI code review tools? CodeRabbit is the most widely used AI code reviewer, with 500k repositories on GitHub and GitLab using it. It has configurable instructions and learns from user feedback so that you can have code reviews your way. AI code reviews aim not to replace developers reviewing each other’s code. On the contrary, to make the process faster, and more enjoyable, help to catch bugs, improve security, and promote best software engineering practices. Here is how I created custom instructions for my repository, and CodeRabbit followed them when reviewing my PR! Give it a try:?https://coderabbit.ai. ?? Pro tip: you can also use it to chat with your code base! #machinelearning #ai #softwareengineering I collaborated with CodeRabbit to bring you this post.

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Building team culture in a remote-first organization can be tricky, so I've been experimenting with ways to inject some personality into our day-to-day at Jumpcut Engineering. Which, in my case, is randomness! My latest quirk? I use CodeRabbit's tone setting to get our PRs reviewed by a different character each week. Right now, we're getting feedback from Joe from Netflix's "You"—it's as creepy and hilarious as it sounds. It might seem odd, but it's: ?? Sparked conversations ?? Added some laughs to our workflow ?? Energized our virtual workspace ?? Made code reviews something to look forward to What unconventional methods are you using to keep your remote team engaged?

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???? Code Review is one of the most tedious and time-consuming task in any large-scale product in any organization. ?? Longer and manual code review slows down hot-fixes, chokes up the release cycles. For Developers, this job is a huge context-switching problem. ?? And then there are other challenges like in many cases, code review becomes a rubber stamp activity, also there are personality challenges across teams. ?? So recently was exploring options to automate the entire Code Review cycle and make the whole process more efficient. And I saw CodeRabbit PR reviews on GitHub more often and started experimenting with it. ?? It's an automated code review platform, that elevated my code quality while significantly reducing the time needed for manual reviews - pretty satisfied with the result till now. To be specific, I got all these below from Code Rabbit - Line-by-line code change reviews and suggestions, that can be directly committed from the GitHub PR UI. - There’s a free and open source tier you can bind to your GitHub or GitLab repo and enjoy AI code reviews. It is free if your project is built in the open. - It has a AI-driven learning feature that adapts to my team's coding practices, learning from user interactions to provide tailored feedback. - All the learnings are stored in a learnings.txt, that other repo's can be benefitted from - Offers in-depth code analysis that goes beyond basic syntax checks, detecting deeper issues like security risks and performance inefficiencies. - Continuous reviews of the pull requests including incremental commits. - Verifies the impact on the overall codebase and identifies missing changes. - Ask any questions on your codebase within the pull request - Chat with the bot around your code. The more you chat, the smarter it gets. - Generates high-level summary and a technical walkthrough of the PR changes. - Validates the PR against the linked issues and identifies other related issues - CodeRabbit is language agnostic, so compatible with All Programming Languages - Also generates a Sequence Diagram, which makes code explanation for the changes of a pull request super clear. - Icing on the cake - you don't need linters any more. CodeRabbit integrates with a whole host of linters - CodeRabbit is easy to integrate with platforms like GitHub and GitLab, scales well for projects of any size - Smart review skipping: By default, skips in-depth review for simple changes (e.g., typo fixes) and when changes look good for the most part. ------ CodeRabbit also has quite impressive numbers for their acceptability in the industry. - 3 Million PRs reviewed by CodeRabbit! - 500k+ repos, 10k+ daily dev interactions.

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