All articles — Page 17

Potpie enhances code quality with AI code reviews
At a Glance Company: Potpie Industry: AI Engineer Agents Scale: 8–10 developers Challenge: Maintaining code quality standards for a growing open-source project. Key Result: Significant reduction in time for code reviews and code quality enforcement.

Postiz accelerates open source development with AI code reviews
At a Glance Company: Postiz Industry: Commercial Open-source Scale: 1M+ users, 200+ contributors Challenge: Managing code reviews across a large open-source community Key Result: 80% faster review cycles About Postiz Postiz is a leading self-hosted social media platform serving more than one million users worldwide.

Kintsugi: transforming remote software development efficiency with CodeRabbit
At a Glance 50% improvement in time to review code and merge PRs Vertical: FinTech. Primary User: Jeff Gibson, CTO. Coding languages: JavaScript and Python.

CodeRabbit now available on GCP Marketplace
Enterprise customers can utilize their existing spend commitments with GCP to accelerate adoption of AI Code Reviews

CodeRabbit now available on AWS Marketplace
Enterprise customers can utilize their existing spend commitments with AWS to accelerate adoption of AI Code Reviews

How to automate OWASP security reviews in your pull requests?
The increasing reliance on web applications has made security a paramount concern for organizations worldwide. As they become more integrated, robust security is crucial. Recent reports indicate a rise in AI-driven attacks, with over 500,000 inciden...

How Bluecopa leveraged CodeRabbit to reduce bugs in production
Faster time to release, fewer bugs, just 2 minutes to get started!

How to set up Python code reviews with CodeRabbit
Learn how CodeRabbit enhances code quality beyond traditional linters

How to fix 20 common PHP issues with AI
PHP is still one of the most popular languages for server-side scripting because it’s simple, adaptable, and backed by an extensive library of frameworks and tools. However, its widespread adoption also comes with common coding challenges that can lead to security vulnerabilities, maintainability issues, poor performance, and inferior code quality.