Sahil Bansal, the Enterprise go-to-market lead at CodeRabbit, dives into how their AI-powered code review platform is revolutionizing the software development process. He talks about the increasing bottleneck caused by AI-generated code and how CodeRabbit tackles it with automated, high-quality reviews. Bansal shares insights on their human-in-the-loop approach, enhancing junior developers’ skills while maintaining senior-level review quality. He also discusses practical deployment options and how CodeRabbit boosts efficiency for companies like Groupon and The Economist.
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insights INSIGHT
Reviews, Not Generation
CodeRabbit focuses on automating code reviews rather than code generation to unblock release velocity.
The platform provides senior-like review feedback while keeping humans in the loop for approvals.
insights INSIGHT
Automated First-Pass Reviews
CodeRabbit posts human-like review comments immediately to reduce PR waiting time and keeps humans as final approvers.
The tool automates first-pass review work to let developers accept or reject suggestions quickly.
volunteer_activism ADVICE
Use Both IDE And PR Reviews
Use CodeRabbit in both IDE and pull request to catch different bug classes and enforce governance at the PR choke point.
Run quick IDE reviews for bite-sized checks and mandatory PR reviews for cross-file dependency validation.
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Try OCI for free at http://oracle.com/eyeonai This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved. 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.
Stay Updated: Craig Smith on X:https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (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
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