CodeGood

Some of the best engineers on my team have never been to a meeting. They're software, and everything they did this weekend, finding a three-day crash loop, correcting their own claims with evidence, publishing my weekly report, rests on one condition: the truth of the company sits where they can read it. Every fact that exists only in a meeting is invisible to the workforce you're about to hire.

After the largest IT outage in history, the remedy CrowdStrike promised was invented in 1988. Fuzzing, crash injection, deterministic simulation and formal specification cost less than a single incident and demonstrably work. The economics of why the industry's most effective techniques are its least used.

Large technology firms have cut new-graduate hiring by more than half since 2019 and handed entry-level work to AI. But seniors are produced by juniors maturing through exactly that work. The industry is spending its senior pipeline to fund a short-term productivity gain, and the bill arrives in 2032.

A fintech company shipped 42% more pull requests after adopting AI coding tools. Production incidents rose 28%. The gap between velocity and quality is not an adoption problem. It is a structural one.

AI replaces capability, not accountability. A team of 10 producing the output of 30 has tripled its coordination burden per person. The headcount drops. The problem does not.