Tool-and-Die Thinking for the AI Age
How AI coding tools helped me beat the overhead wall — and build faster than I think.
reflection
Softer edges, longer pauses. These posts give space to notice, feel, and be honest.
Who Reviewed the Reviewer?
This post is about that realization. About what happens when AI becomes the default reviewer, and starts learning from its own reflections.
We’re not just debugging code anymore.
We’re debugging the system that teaches itself how to review.
Tokens Are Dev Hours. Waste Is a Feature, Not a Bug.
With AI development, waste isn’t hidden in team velocity or burndown charts — it’s itemized on your invoice. That’s not a flaw. It’s a feature.
When You Start to Hear the Music
What happens when AI sharpens your mind, but drifts you further from those who don’t think that way? This post explores the private cost of clarity — and the quiet grief that comes from outgrowing the resolution your old relationships were built on.
From Pattern to People
The hidden cost of clarity in an AI-shaped mind
The Lost‑Phone Test for AI: Could Your Org Still Function Tomorrow?
Dropped phone, lost life. Same test applies to corporate AI: if your copilots vanished tomorrow, would work even slow down? The “Lost-Phone Test” exposes integration gaps and makes the case for a Chief Intelligence Officer to weave tools into real workflows.
Not Just Fast, But Together
If you want to go fast, go alone; if you want to go far, go together