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AI-generated code is exploding, but reviewing it all has become the new bottleneck for engineering teams. In this episode, Sahil Bansil from CodeRabbit reveals how their AI-powered platform is transforming the code review process, helping developers ship faster without compromising quality. He explains how CodeRabbit uses advanced LLM context engineering to deliver senior-level review quality, reduce pull request merge times by up to 50%, and catch more bugs before they reach production.
Whether you’re a developer, engineering manager, or CTO, this conversation shows why automated code review is essential in the AI era and how CodeRabbit can help your team scale software delivery while keeping quality high.
Cut Code Review Time & Bugs in Half. Instantly with CodeRabbit: https://www.coderabbit.ai/
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(00:00) LLMs & Why Context Matters
(02:26) Meet Sahil Bansil from CodeRabbit
(04:04) AI Code Boom & The Review Bottleneck
(06:05) Why CodeRabbit Focused on Reviews, Not Generation
(09:55) Keeping Humans in the Loop for Code Quality
(14:30) IDE Reviews vs PR Governance
(17:51) Inside CodeRabbit’s Context Engineering
(20:42) Building Context from Code Graphs & Jira Tickets
(22:15) Eliminating AI Hallucinations with Verification
(27:19) Empowering Junior Developers & Legacy Code Support
(32:40) CodeRabbit’s Open Source & Enterprise Success Stories
(36:56) Cutting Review Times & PR Merge Delays
(44:35) Scaling CodeRabbit & The Growing Market