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

In this episode of Screaming in the Cloud, Corey Quinn talks with Jonathan Schneider, CEO of Moderne and author on Java microservices and automated code remediation. They explore why upgrading legacy systems is so hard, Schneider’s journey from Netflix to building large-scale code transformation tools like OpenRewrite, and how major companies like Amazon, IBM, and Microsoft use it.

They also discuss AI in software development, cutting through the hype to show where it genuinely helps, and the human and technical challenges of modernization. The conversation offers a practical look at how AI and automation can boost productivity without replacing the need for expert oversight.

Show Highlights

(2:07) Book Writing and the Pain of Documentation

(4:03) Why Software Modernization Is So Hard

(6:53) Automating Software Modernization at Netflix

(8:07) Culture and Modernization: Netflix vs. Google vs. JP Morgan

(10:40) Social Engineering Problems in Software Modernization

(13:20) The Geometric Explosion of Software Complexity

(17:57) The Foundation for LLMs in Software Modernization

(21:16) AI Coding Assistants: Confidence, Fallibility, and Collaboration

(22:37) The Python 2 to 3 Migration: Lessons for Modernization

(27:56) The Human Element: Responsibility, Skepticism, and the Future of Work

Links

1. Crying Out Cloud Podcast & Newsletter: https://www.wiz.io/crying-out-cloud
2. Modern (Jonathan Schneider's company): https://modern.ai
3. LinkedIn (Jonathan Schneider): https://www.linkedin.com/in/jonathanschneider/

On this episode of Screaming in the Cloud, Corey Quinn talks with Simon Willison, founder of Datasette and creator of LLM CLI about AI’s realities versus the hype. They dive into Simon’s “lethal trifecta” of AI security risks, his prediction of a major breach within six months, and real-world use cases of his open source tools, from investigative journalism to OSINT sleuthing. Simon shares grounded insights on coding with AI, the real environmental impact, AGI skepticism, and why human expertise still matters. A candid, hype-free take from someone who truly knows the space.

Highlights:

00:00 Introduction and Security Concerns
02:32 Conversations and Kindness
04:56 Niche Museums and Collecting
06:52 Blogging as a Superpower
08:01 Challenges of Writing and AI
15:08 Unique Use Cases of Dataset
19:33 The Evolution of Open Source
21:09 Security Vulnerabilities in AI
32:18 Future of AI and AGI Concerns
37:10 Learning Programming with AI
39:12 Vibe Coding and Its Risks
41:49 Environmental Impact of AI
46:34 AI in Legal and Creative Fields
54:20 Voice AI and Ethical Concerns
01:00:07 Monetizing Content Creatively

Links:

• Simon Willison’s Blog
• Datasette Project
• LLM command-line tool and Python library
• Niche Museums
• GitHub MCP prompt injection example
• Highlights from the Claude 4 system prompt
• AI energy usage tag
• AI assisted search-based research actually works now
• POSSE: Publish on your own site, syndicate elsewhere
• Bellingcat
• Lawyer cites fake cases invented by ChatGPT, judge is not amused (May 2023)
• AI hallucination cases database
• Sponsor Simon to get his monthly summary newsletter
• https://simonwillison.net/
• https://www.linkedin.com/in/simonwillison
• https://datasette.io/

Sponsor
Augment Code: https://www.augmentcode.com/