Volume I — Parts I–II¶
Foundations and Engineering Construction
Volume I establishes the engineering foundation for trustworthy intelligent systems. It moves from the mindset of professional software engineering into the practices required to define intent, manage complexity, organize repository evidence, develop requirements, make architectural decisions, plan work, use AI responsibly, review implementation, verify behavior, and defend release readiness.
The central question of Volume I is:
How do we build intelligent systems responsibly enough that they can be reviewed, verified, and released with evidence?
Volume Structure¶
Part I — Foundations¶
Chapters 1–7
Introduces trustworthiness, risk, complexity, systems thinking, repository-centered engineering, and the engineering mindset required for intelligent systems.
Part II — Engineering Construction¶
Chapters 8–22
Covers requirements, architecture, planning, design decisions, AI-assisted implementation, reviews, verification, release readiness, and release defense.
Volume Snapshot¶
- Parts: 2
- Chapters: 22
- Focus: Foundations through release defense
- Audience: Students, engineers, architects, technical leads, and engineering managers