The New Stack Podcast The New Bottleneck: AI That Codes Faster Than Humans Can Review
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May 27, 2025 In this engaging conversation, Harjot Gill, Founder and CEO of CodeRabbit, dives into the world of AI-driven code reviews. With a rich background in launching tech startups, he highlights how AI tools like GitHub Copilot complicate the review process. CodeRabbit aims to alleviate this bottleneck by providing AI agents that understand context and enhance code quality. Gill envisions a future where AI takes on tedious tasks, allowing developers to focus on higher-level architecture and reduce bugs and costs in the coding process.
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AI Coding Tools Worsen Code Reviews
- Harjot Gill observed AI coding tools like Copilot increased code generation speed but worsened code review bottlenecks.
- Developers now review AI-written code they didn't write, leading to misunderstandings and bugs.
Limits of Traditional Automation
- Traditional automated code reviews rely on rigid, rule-based static analysis tools which have high false positives.
- Humans bring senior knowledge and understand code intent beyond syntax, so automation alone never suffices.
Leverage Reasoning Models for Review
- Use large language models with reasoning capability to analyze code changes within pull requests.
- Provide AI agents enough context to mimic human reviewers with human-like feedback.