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2 posts tagged with "Code Reviews"

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· 7 min read


Welcome to the future, where a morning commute involves going from bed to home office. The dress code is "business on top, pajamas down below." In this new world of remote work, tech teams worldwide are getting good at video calls and wishing for strong Wi-Fi like strong coffee. But here's the question: How do we maintain engineering efficiency when Joe from frontend is in Mexico, and DevOps Dave just started his day in Dublin? This setup presents a unique challenge: ensuring that code reviews, which are essential for code quality, are consistent, timely, and efficient. Have you ever missed a code review because it was late at night? We've all been there. Are you waiting for days to get feedback because your reviewer is in a different time zone? Oh, the frustration! Introducing the helpful algorithm: AI-driven code reviews. They're like a reliable friend who never sleeps (because they're code) and knows all the coding rules. This article explores how these intelligent bots fill the gaps in our fast-paced, sometimes slow, new world.

· 9 min read
Gur Singh
Vishu Kaur

We are witnessing an inflection point in the software development industry. Developers around the world have been realizing the incredible possibilities that AI can bring. The introduction of GitHub Copilot and ChatGPT have revolutionized software development. They have been the fastest-growing tools in the history of software development.

While on the code generation side, many tools have emerged, the code review process has remained largely unchanged. We continue to use the same tools and processes that were used 10 years ago. The code is still manually reviewed, which is slow, error-prone, and expensive. To address this, we are building CodeRabbit, an AI-powered code reviewer that is part of the code merge and CI/CD process. With CodeRabbit our vision is to speed up the code merge process by an order of magnitude, while also improving the quality of the code that goes beyond what is possible with human reviewers alone and existing linting tools.