There is a structural transformation happening in software operations. The output of production is increasingly training data, training data produces automation, and automation runs production. Site Reliability Engineering is one place this shift becomes visible in concrete terms. Not because SRE has the most data, but because SRE already solved a piece of the governance problem this new model depends on.
I had an AI agent extract and analyze all 464 YC Library articles. The word ‘flywheel’ appears exactly once. But the mechanics are everywhere, hiding in plain sight. Y Combinator has described a new economic primitive that replaces capital as the lubricant for startup growth. They just refuse to name it.
The Product Manager wanted to ship an MVP. Three phases. Skip the reproducible build. Skip the caching subsystem. Skip the Mermaid diagrams. Ship fast, iterate later.
The Debugger said that path would destroy maintainer trust.
“Non-Deterministic Bug Blindness,” the Debugger said. “Skip the reproduction baseline and the ‘fails on main’ gate? The agent writes a fix, runs the test, it passes, but it was passing BEFORE the fix too because the test is tautological. The trust curve is steep to climb and vertical to fall off.”
Agile’s 10th principle says to maximize the amount of work not done. It was functionally lost for two decades. Nano unicorns rediscovered it through necessity. Established organizations can apply it to cut OpEx without layoffs.
Every PKM methodology is an assembly of principles designed to solve a specific information constraint. There is no best system. There are only bricks. Build your own.
The tension between enterprise security and the mandate to innovate with AI isn’t new, but AI has compressed it from a manageable chronic condition into an acute crisis where either side losing can kill the company. The problem isn’t the people. It’s the structure.
AI isn’t taking your job. Incompetent leaders using AI as a cover story for cost-cutting they’d do anyway might. And that’s actually good news.
In the late 1980s, a former trial lawyer named Denise Shekerjian read a newspaper article about the MacArthur Fellowship. The “genius grant,” people called it. It came with a mysterious phone call, a generous six-figure award paid with no strings attached, and the kind of cultural recognition that changes a life.
Shekerjian was not interested in the money or the prestige. She was interested in the people. She wanted to know what made them what they were.
We built gravitational-wave detectors to watch black holes collide. We accidentally turned them into the most sensitive dark matter detector ever built. And in 2019, one of them hiccuped.
AI-generated PRs are overwhelming open source maintainers. A solution already exists in the AGENTS.md convention. So why won’t they use it?