
← Beyond CodingNouveau · 1 h 15 min
Lead Architect Reveals His Rules for Coding Agents
<p>Lead Architect Carlos Kelkboom shares his rules for coding agents and how great engineers architect software with AI. One of the great ones is: he throws away generated code the moment he doesn't understand it. He breaks down why coding agents fail at iterative changes, why his main agent never touches files, and how he scaffolds projects for one-shot execution.</p><p>In this video, we cover:</p><ul><li>Why AI coding agents struggle with iterative changes (SlopCodeBench) and excel at one-shot execution</li><li>How to manually scaffold code, types, and folder boundaries before letting sub-agents run</li><li>Designing a distributed Markdown and indexed-search graph harness for progressive context disclosure</li><li>Using Git worktrees to run parallel coding agents and merge the best implementations</li><li>Why dynamic memory and the heap need to disappear in favor of deterministic programming languages</li><li>How AI bubbles and solo coding impact junior engineers and team collaboration</li></ul><p>This episode is for software engineers, tech leads, and system architects who want to move beyond "vibe coding" and build maintainable, deterministic production software with AI agents.</p><p>Timestamps:<br>00:00:00 - Why Carlos Throws Away Working AI Code<br>00:00:53 - Why Pull Requests and Team Collaboration Are Dying<br>00:03:50 - The Trap of Starting Projects You Never Finish<br>00:06:06 - Escaping the Solo AI Developer Bubble<br>00:11:54 - How to Scaffold Code Before Using AI Agents<br>00:15:54 - Learning New Programming Languages With AI Agents<br>00:21:14 - Why We Must Get Rid of the Heap<br>00:28:32 - Building a Shared Language Across Engineering Teams<br>00:31:31 - Vibe Coding vs Deep Software Engineering<br>00:40:12 - Code Is Cheap: Git Worktrees for Parallel Agents<br>00:41:45 - How Deep to Scaffold Before the Agent Runs<br>00:45:09 - Democratizing Software, Missing Juniors, and the AI Bubble<br>00:53:33 - Designing a Graph Harness for AI Agent Context<br>00:58:18 - Why His Main Agent Never Touches Files<br>01:03:07 - Throw Away Code You Don't Understand<br>01:06:25 - Rethinking Code Reviews and Mutation Testing for AI</p><p><a href="#CodingAgents">#CodingAgents</a> <a href="#SoftwareEngineering">#SoftwareEngineering</a> <a href="#AgenticEngineering">#AgenticEngineering</a></p>