Engineering

Typing code was doing load-bearing QA work nobody invoiced for. Agents removed the slowness, and now the work has to live somewhere on purpose.

A fast engineering team is not automatically a productive one. The real test is whether the work changes anything that matters.

AI didn't break pull requests; it exposed the review queues, slow integration, and weak collaboration habits engineering teams already had.

Burnout has a different shape at every rung of the engineering ladder, and promotion doesn't cure it: it just trades one variant for another.

Verification debt is accumulating quietly in AI-assisted codebases. What engineering leaders need to watch for.

AI agents generate 98% more PRs but reviews take 91% longer. The work didn't disappear — it moved. A synthesis of eight perspectives on where it actually went.

Learn the science behind developer flow states and implement practical strategies to increase your engineering team's focus, productivity, and satisfaction.

An overview of the recurring laws and constraints that shape software engineering, from teams and estimation to architecture, testing, and performance.

The software engineering laws that govern code quality, complexity, and the tradeoffs of day-to-day development.

The UX and design laws that explain how people actually use software and why intuitive products follow recognizable patterns.