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CodeRabbit VS CodeClimate

Compare CodeRabbit VS CodeClimate and see what are their differences

CodeRabbit logo CodeRabbit

Unleash AI on Your Code Reviews with CodeRabbit

CodeClimate logo 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.
  • CodeRabbit Landing page
    Landing page //
    2024-07-02
  • CodeClimate Landing page
    Landing page //
    2023-10-04

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CodeClimate videos

SaaS Chat: SaaSTV, the Affordable Care Act website, CodeClimate for code reviews

Category Popularity

0-100% (relative to CodeRabbit and CodeClimate)
Developer Tools
42 42%
58% 58
Code Coverage
0 0%
100% 100
Code Review
100 100%
0% 0
Code Analysis
0 0%
100% 100

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Reviews

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CodeClimate Reviews

11 Interesting Tools for Auditing and Managing Code Quality
Code Climate is an analytics tool that is extremely useful for an organization that emphasizes quality. Code Climate offers two different products:
Source: geekflare.com

Social recommendations and mentions

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.

CodeRabbit mentions (9)

  • The Role of AI Code Reviews in Compliance and Coding Standards
    How CodeRabbit AI code reviews streamline development. - Source: dev.to / 2 months ago
  • Bridging the Gap: How AI is Transforming Traditional Code Review Practices
    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
  • How CodeRabbit AI is Revolutionizing Coding with Intelligent Automation
    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
  • Mastering Code Review skills using AI tools
    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
  • How we managed GPT-4 API cost at scale
    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
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CodeClimate mentions (11)

  • free-for.dev
    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
  • How To Use Code Climate To Improve Software Quality
    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
  • RFC: A Full-stack Analytics Platform Architecture
    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
  • Adding coverage to CI pipeline?
    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
  • Node.js best practices list (July 2021)
    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
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What are some alternatives?

When comparing CodeRabbit and CodeClimate, you can also consider the following products

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