Twelve volumes, one discipline
A handbook for AI-assisted software engineering
Software engineering has always progressed by making invisible work visible. Twelve volumes on the layer AI adds — its economics, context, harnesses, workflows, verification, and organizations — written from evidence, not enthusiasm.
The twelve volumes
Volume I
The Economics of AI-Assisted Software Engineering
Measure value, not activity.
11 chapters · 11 published
Volume II
The Science of Context
Context is the finite resource. Engineering it is the discipline.
11 chapters · 11 published
Volume III
Intent Architecture
Prompting is not the skill. Specifying intent is.
11 chapters · 11 published
Volume IV
The Harness
The model is the engine. The harness is the vehicle.
11 chapters · 11 published
Volume V
AI Workflow Engineering
Software engineering is becoming workflow engineering.
10 chapters · 10 published
Volume VI
Multi-Agent Development
The future isn't one AI. It's coordinated systems — used sparingly.
11 chapters · 11 published
Volume VII
Verification & Trust
Generation is cheap. Verification is the job.
11 chapters · 11 published
Volume VIII
Engineering Systems Thinking
AI doesn't replace systems thinking. It amplifies it.
10 chapters · 10 published
Volume IX
Engineering Knowledge
The most valuable engineering asset isn't code.
11 chapters · 11 published
Volume X
Measuring Software Engineering
Everything measurable eventually improves.
11 chapters · 11 published
Volume XI
AI-Native Teams & Organizations
How software organizations evolve.
11 chapters · 11 published
Volume XII
The Future of Software Engineering
Looking beyond today's tools.
8 chapters · 8 published