Conversations at the Intersection of AI and Code with Harjot Gill
AI is rewriting the rules of code review and CodeRabbit is leading the charge. In this featured episode of Screaming in the Cloud, Harjot Gill shares with Corey Quinn how his team built the most-installed AI app on GitHub and GitLab, nailed positive unit economics, and turned code review into a powerful guardrail for the AI era.
Show Highlights
(0:00) Entrepreneurial Journey and Code Rabbit's Origin
(3:06) The Broken Nature of Code Reviews
(5:47) Developer Feedback and the Future of Code Review
(9:50) AI-Generated Code and the Code Review Burden
(11:46) Traditional Tools vs. AI in Code Review
(13:41) Keeping Up with State-of-the-Art Models
(16:16) Cloud Architecture and Google Cloud Run
(18:21) Context Engineering for Large Codebases
(20:52) Taming LLMs and Balancing Feedback
(22:30) Business Model and Open Source Strategy
About Harjot Gill
Harjot is the CEO of CodeRabbit, a leading AI-first developer tools company.
Links
Harjot on LinkedIn: https://www.linkedin.com/in/harjotsgill/
Sponsor
CodeRabbit: https://coderabbit.link/corey
CodeRabbit and RAG for Code Review with Harjot Gill
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 codereview. 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 CI/CD pipelines. Harjot Gill is the founder and CEO of CodeRabbit. He joins the podcast with Kevin Ball to discuss CodeRabbit’s 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.
Full Disclosure: This episode is sponsored by CodeRabbit.
Kevin Ball or KBall, 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.
Please click here to see the transcript of this episode.
Sponsorship inquiries: sponsor@softwareengineeringdaily.com
The post CodeRabbit and RAG for Code Review with Harjot Gill appeared first on Software Engineering Daily.
The New Bottleneck: AI That Codes Faster Than Humans Can Review
CodeRabbit, led by founder Harjot Gill, is tackling one of software development's biggest bottlenecks: the human code review process. While AI coding tools like GitHub Copilot have sped up code generation, they’ve inadvertently slowed down shipping due to increased complexity in code reviews. Developers now often review AI-generated code they didn’t write, leading to misunderstandings, bugs, and security risks. In an episode of The New Stack Makers, Gill discusses how Code Rabbit leverages advanced reasoning models—OpenAI’s o1, o3 mini, and Anthropic’s Claude series—to automate and enhance code reviews.
Unlike rigid, rule-based static analysis tools, Code Rabbit builds rich context at scale by spinning up sandbox environments for pull requests and allowing AI agents to navigate codebases like human reviewers. These agents can run CLI commands, analyze syntax trees, and pull in external context from Jira or vulnerability databases. Gill envisions a hybrid future where AI handles the grunt work of code review, empowering humans to focus on architecture and intent—ultimately reducing bugs, delays, and development costs.
Learn more from The New Stack about the latest insights about AI code reviews:
CodeRabbit's AI Code Reviews Now Live Free in VS Code, Cursor
AI Coding Agents Level Up from Helpers to Team Players
Augment Code: An AI Coding Tool for 'Real' Development Work
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