- Published on May 13, 2025
- In AI Trends
AI Can Write Code in Seconds—But Who is Checking for Bugs?
Traditionally, code reviews require manual scrutiny by peers, where senior engineers meticulously examine pull requests line by line.
- By Mohit Pandey
The volume of code written by AI coding tools has increased significantly since the emergence of ‘vibe coding’. Both developers and non-developers can now churn out code at an unprecedented rate using tools like GitHub Copilot, Cursor, and other AI-powered assistants.
However, while code generation has accelerated, other aspects of the software development lifecycle—particularly code reviews—have not kept pace, potentially creating bottlenecks and quality concerns.
The Bottleneck in Code Reviews
“As AI generates more of our code, the bottleneck shifts from writing to reviewing. This new reality makes AI-powered code review valuable and essential for modern development teams,” Harjot Gill, CEO at CodeRabbit, said.
Traditionally, code reviews require manual scru
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Mohit Pandey
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.
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