Most conversations about AI start from the wrong question: will AI replace developers? The better question is how a team works when one of its members recommends, creates and critiques — but has no memory beyond the conversation in front of it and never lives with the consequences of being wrong.
AI behaves more like a teammate than a tool. It contributes. It makes mistakes. It works incredibly fast. It needs context and supervision, and it does better when expectations are clear. That isn't a tool problem — it's a team-management problem. This book is about solving it.
Written from real projects, The AI Teammate covers the roles an AI can fill on a team, the workflow and review loop that keeps it honest, testing that actually catches AI mistakes, and what changes for leadership, managers and developers. It closes with a hands-on setup session your AI runs with your team to build a repository it reads before every session.
AI is not the ground truth. The repository is.
Inside the book
- Part 1The Mindset Shift
- Part 2Building The AI Team
- Part 3Quality At Every Layer
- Part 4Leading The Change
- Part 5Scaling The Model
- AppendicesReference Material
For readers: the working edition of Chapter 15, “The Repo of Truth,” is kept here and updated as the setup session is used on real projects.
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