The Problem Nobody Is Solving in AI Development: Code Explainability

What happens when AI writes 90% of your code?

In this episode of The Cloud Girl Podcast, host Priyanka Vergadia sits down with Rajat Gill, Co-founder and CEO of CodeRabbit, to explore how he built one of the world's leading AI-powered code review platforms.

From the rise of AI coding agents to the future of software engineering, Rajat shares why code reviews, not code generation, are becoming the biggest bottleneck in modern software development. He also discusses building AI products, scaling developer tools, hiring in the AI era, and what the next generation of engineering teams will look like.

In this interview, you'll learn:
Why AI code generation is becoming a commodity
Why code reviews are the next billion-dollar opportunity
How CodeRabbit became one of the fastest-growing AI developer tools
How AI is changing software engineering careers
Why product thinking matters more than coding skills
The future of GitHub, AI agents, and software development
How engineering teams are hiring differently in 2026
Why explainability is the biggest challenge in AI-generated code
The future of developers, PMs, designers, and engineering leaders

Whether you're a software engineer, AI engineer, CTO, startup founder, engineering manager, or developer using GitHub Copilot, Cursor, Claude Code, Codex, or ChatGPT, this conversation is packed with insights about where AI development is heading next.

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⏱ TIMESTAMPS
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00:00 – Introduction
01:20 – What is CodeRabbit? Company overview
01:51 – Rajat's background: from Net Sale (observability) to CodeRabbit
03:51 – How the idea for CodeRabbit came about (post-COVID, GitHub Copilot's arrival)
06:28 – Why code review is now the biggest SDLC bottleneck
08:25 – Where AI beats humans vs. where humans still matter
11:52 – Build-more-and-decide-later workflows; risk in mature vs. prototype codebases
14:48 – Rajat's tool of choice: Codex desktop app
18:35 – Team structure fluidity and shifting bottlenecks
19:29 – How hiring has changed in AI era
22:20 – How do we get customers?
26:00 – How do you sustain your pricing while using expensive AI models?
28:27 – What happens behind the scenes during a CodeRabbit review
31:50 – How are you solving the challenge of enterprise codebases being unique?
35:14 – Why adoption is high and low-friction for developers
38:25 – What's your view on the evolution of the AI coding space and the competition?
43:32 – Why validation/review will remain a centralized quality gate
47:07 – Reflecting on the CodeRabbit journey and fundraising story
48:44 – Product roadmap: expanding into Jira, Linear, Slack, and beyond code review
50:30 – Closing thanks and sign-off

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