AI generates 10x more code, but your senior engineers still review it by hand and it's burning them out. Even Google admits code review is now the bottleneck nobody knows how to solve.
Florian Buetow, AI engineer at Xebia, has been running experiments to eliminate the human from the review loop entirely, and what he found changes where engineers should focus their effort.
In this episode, we cover:
Whether you're an individual developer drowning in AI-generated PRs or driving AI adoption across a large engineering org, you'll leave with concrete experiments to run.
More from Florian:
https://cracking-ai-engineering.com
Timestamps:
00:00:00 - Intro
00:00:40 - Code Review Is Software Engineering's Biggest Bottleneck
00:01:57 - How Amazon and Big Tech Police AI-Generated Code
00:02:55 - Horizontal vs Vertical Scaling of AI Engineering
00:04:37 - Why "No Code Reviews" Might Be the Answer
00:05:22 - Engineering Environments That Give Agents Feedback
00:06:46 - Why the Harness Matters More Than the Model
00:07:21 - When Spec-Driven Development Failed and TDD Worked
00:10:06 - Stop Hooks, Ralph Loops, and Automated Feedback
00:11:30 - The Guardrails That Gave the Most Value
00:14:00 - Architectural Constraints That Keep AI Code Sane
00:15:07 - What Remains a Human Responsibility
00:17:33 - Why All the Hard Work Moves Upfront Now
00:18:47 - The Incredible Skill Junior Engineers Should Learn
00:20:26 - AI Burnout: Why Engineers Are Exhausted
00:22:42 - Cognitive Surrender: Letting the Agent Take Over
00:23:25 - The Hand Grenade Problem with AI at Work
00:24:08 - Outsourcing Code Review to AI Itself
00:26:39 - Teams That Fully Adopted Spec-Driven Development
00:29:01 - Can You Rebuild Software From Tests Alone?
00:30:27 - How to Experiment and Stay Ahead
00:33:15 - Spying on What Subagents Tell Each Other
00:33:59 - Step One: How to Start with Guardrails
00:36:08 - Data Mining Your Session Logs for Patterns
00:37:00 - Stuck With One Harness? Here's What to Do
00:38:28 - The One Experiment to Run This Week