I'm a HUGE BELIEVER in people being able to leverage tools better when they understand how they work. Black boxes don't breed confidence in users. So let's do that with Agentic Development Systems.
I can't remember the last time I went a day without seeing an article about '[Google has 25% of code generated by AI](https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/)' or '[GitHub Copilot is writing 46% of code](https://github.blog/2023-06-27-the-economic-impact-of-the-ai-powered-developer-lifecycle-and-lessons-from-github-copilot/)' or '[Amazon Q has saved 4,500 developer-years](https://aws.amazon.com/q/developer/)'. The knowledge isn't in the line count. It's in how they got there.
AI tools are genuinely transforming software development. But the flood of executives claiming to ship 10,000 lines of code while running companies reveals a fundamental misunderstanding of what we're building.
Generative AI isn't an evolution of software development; it's a revolution. To leverage it, we must stop optimizing codebases for human eyes and start building them for Agentic verification.
Comparing two approaches to AI coding: paranoid infrastructure engineer versus move-fast entrepreneur. Both are right.
What woodworking taught me about AI coding agents and the future of software development. The Industrial Revolution didn't kill craftsmanship, and AI won't either.