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CodeClimate might be a bit more popular than CodeRabbit. We know about 11 links to it since March 2021 and only 9 links to CodeRabbit. 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.
How CodeRabbit AI code reviews streamline development. - Source: dev.to / 2 months ago
CodeRabbit is the best AI code review tool for GitHub and GitLab. Sign up and get a free trial for your team or organization. - Source: dev.to / 4 months ago
According to their official site, CodeRabbit is an AI-based code reviewer and summarizer for GitHub pull requests, utilizing OpenAI's gpt-3.5-turbo and gpt-4 models. It is designed to be used as a GitHub Action and can be configured to run on every pull request and review comments. - Source: dev.to / 5 months ago
After completing your review, employ automated AI-based code review tools such as CodeRabbit. These tools can quickly analyze code for common issues, style inconsistencies, and potential bugs, providing an immediate second opinion on the PR. - Source: dev.to / 5 months ago
Since its inception, CodeRabbit has experienced steady growth in its user base, comprising developers and organizations. Installed on thousands of repositories, CodeRabbit reviews several thousand pull requests (PRs) daily. - Source: dev.to / 6 months ago
Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 1 year ago
Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: about 2 years ago
Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / about 2 years ago
The new code should not drop existing code coverage I've found in practice mainly catches changes to existing code that lack proper updates to existing tests. Our company uses Code Climate for these checks, so we don't have to manage / write our own tooling for this purpose. Source: over 2 years ago
TL;DR: Using static analysis tools helps by giving objective ways to improve code quality and keeps your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. Detect duplications), perform advanced analysis (e.g. Code complexity), and follow the... - Source: dev.to / almost 3 years ago
CodeReviewBot AI - CodeReviewBot.ai offers an AI-powered code review service integrating seamlessly with GitHub pull requests, improving coding efficiency.
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.
AI Code Reviewer - AI reviews your code
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Trag - Review your PR in minutes, not days.
ESLint - The fully pluggable JavaScript code quality tool