Essential Complexity

On teams with high AI adoption, PR review time increases 91%. The instinct is to treat that as the problem to solve. It isn't.

Amazon has a gap between how fast AI can generate change and how fast its systems can safely absorb it. Most organizations haven't registered the shift yet.

Abundance does not eliminate opportunity. It expands it. But it also clarifies what was always true: the constraint was never intelligence. It was imagination.

The market is pricing architectural courage. Companies that simply 'add AI' to existing products won't survive. The winners will rebuild around it.

Both OpenClaw and Gas Town imbue LLMs with an agency that stirs strong emotions. One side expresses wonder at what's now possible. The other expresses fear at potential downsides. Both deserve serious attention.

If we stop bringing new people into the profession, software engineering doesn't evolve, it atrophies. A field that can't regenerate itself doesn't get more efficient; it simply disappears.

If your team adopts AI and suddenly produces 160% of what they did before, congratulations. You're keeping up. You are not winning.

We're treating AI like a faster compiler for the same ideas we've always had: ship more features, write more CRUD, reduce headcount. The result? Marginal gains and a ceiling on ambition.

For the last three years, almost every conversation in the software world has revolved around AI. But after 20 years working inside engineering organizations, the real transformation happened quietly, starting in 2020.