One of the most immediate and high-impact applications of LLMs has been in software development.

The models can significantly accelerate code writing, but with that increased velocity comes a greater need for thoughtful, scalable approaches to code review.

Integrating AI into the development workflow requires rethinking how to ensure quality, security, and maintainability at scale.

CodeRabbit is a startup that brings generative AI into the code review process. It evaluates

code quality and security directly within tools like GitHub and VS code, acting as an AI

reviewer that complements existing CICD pipelines.

Harjot Gill is the founder and CEO of CodeRabbit.

He joins the podcast with Kevin Ball to discuss CodeRabits architecture, its multi-model

LLM strategy, how it tracks the reasoning trail of agents, managing context windows, lessons

from bootstrapping the company, and much more.

Kevin Ball, or K. Ball, is the vice president of engineering at Mento and an independent

coach for engineers and engineering leaders. He co-founded and served as CTO for two companies,

founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through

latent space. Check out the show notes to follow KBall on Twitter or LinkedIn or visit his website,

kball.l.lc. Harjit, welcome to the show.

Thanks, Kevin.

Yeah, I'm excited to dig in with you.

I'm really excited about what you guys are doing.

But let's maybe start with that.

So can you give our audience a little bit of a background on you and on CodeRabbit?

Yeah, that's great. So I've heard Joe and I'm co-founder CEO of CodeRabit, which is a startup

using Generative AI to look at code reviews, essentially code quality, code security for users which

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