Books_

Between January and June of 2026, the industry hired a few million tireless new engineers, set production on fire in ways both novel and traditional, and then — slowly, grudgingly — built the guardrails it always claimed it meant to.

This book is the record: twenty-six weeks of what shipped, what broke, and what everyone argued about, retold with commentary and a completely straight face. Each week is one chapter — the story first, the receipts after. Months open with the AI hype-o-meter, a running measurement of how much of that month's reading was about the machines. It starts at 71%. It does not stay there.

MIRA runs routing and account scoring for Meridian Logistics, and by every dashboard the company owns it is performing beautifully: 94.2% accurate, fully automated, deeply trusted. Meanwhile, Meridian's oldest customers are quietly leaving.

When new Head of Engineering Alex Chen starts pulling at the thread, he finds no bug, no villain, and no single moment where anything broke — just a machine faithfully optimizing a definition of "good" that nobody remembers agreeing to. To fix it, he will have to excavate three layers of failure: training data that encoded a dead incentive system, feedback loops that measured the model against itself, and a question nobody asked out loud — what is a good customer, and who decided?

Alignment failure, not as science fiction — as a Tuesday.

For fifty-two Mondays in a row, the best of the web's software writing — the frameworks that shipped, the outages that taught, the essays worth your commute — was curated by hand into a weekly digest.

This is the whole year in one sitting: 533 links with commentary, retold month by month, with QR codes so the paper can still take you to the source. The year's engineering changelog, annotated by someone who read all of it so you didn't have to. The volume that started the series.