The agent runs. The code appears. The feature is not what I wanted. Not because the model was wrong....
AI agents fail from vague briefs, not capability. A Think phase producing precise specifications eliminates rework before implementation. For CTOs, the bottleneck is clarity of direction: upfront planning cuts delivery time by preventing downstream debug cycles.
The agent runs. The code appears. The feature is not what I wanted.
Not because the model was wrong. Because I was vague.
Speed Was Never the Moat
Before AI could write a single line of code, the best engineers were not the fastest ones.
They were the ones who thought first.
Why AI Coding Agents Fail Senior Engineers (And What I Built to Fix It) AI coding agents...
Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code…
The Strategic Engineer: Why Writing Code Is No Longer Your Most Valuable Skill ...
I spent months watching AI coding agents produce impressive demos that couldn't survive...
AI Writes Code Fast. That's Exactly the Problem. Speed is not the enemy. Unmaintainable...
I spent months optimizing my AI development pipeline before realizing the bottleneck was never the pipeline. It was my specs.…
