Subvolts take AI code reviews are now essential; CodeRabbit speeds up development and catches bugs. Sep 17, 2025 - Developers
- Learn how AI tools can speed up your code review process and help you ship code faster.
- Business
- Understand how automated code reviews can help your engineering teams scale and maintain quality as AI code generation increases.
This interview provides practical insights into a developer tool addressing a direct challenge posed by AI code generation.
#287 Sahil Bansal: Why Developers Are Switching to CodeRabbit's AI Code Reviews
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Craig S. Smith interviews Sahil Bansil on Eye on AI about CodeRabbit's platform for AI-powered code reviews. Bansil explains how their system uses LLM context engineering to deliver senior-level quality, reduce pull request merge times by up to 50%, and catch more bugs. The episode highlights the necessity of automated code review for scaling software delivery in the AI era.
AI is writing code faster than ever, but checking it is slow. This episode explains how CodeRabbit uses smart AI to review code like an expert, helping teams ship software quicker and with fewer errors.
This episode is for engineering managers and CTOs grappling with the explosion of AI-generated code. It addresses the bottleneck of reviewing this code, a direct consequence of frontier AI advancements. CodeRabbit's approach, using advanced LLM context engineering, offers a practical solution for maintaining quality and speed. This aligns with current industry trends where AI tools are increasingly integrated into the development lifecycle, impacting how software is built and maintained.
- HostCraig S. Smith
- GuestSahil BansilCodeRabbit
- Guest: Sahil Bansil from CodeRabbit
- Show: Eye on AI
- Episode Length: 48 minutes
- Pull Request Merge Time Reduction: Up to 50%
- CodeRabbit's Method: Advanced LLM context engineering
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.
Cut Code Review Time & Bugs in Half. Instantly with CodeRabbit: https://www.coderabbit.ai/
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
- LLM context engineering
- Sahil Bansil
- Smart ways to help AI understand and process large amounts of information for specific tasks.
- pull request
- Sahil Bansil
- A request to merge code changes from one branch into another, typically reviewed by other developers.
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WithAndrii Hrytseniuk
Questions people ask
- How does CodeRabbit improve code reviews?
- CodeRabbit uses advanced LLM context engineering to provide senior-level review quality, helping to reduce pull request merge times by up to 50% and catch more bugs.
- Why is automated code review important now?
- With the explosion of AI-generated code, automated review is essential for engineering teams to scale software delivery while maintaining high quality.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Craig S. Smith.