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The AI-Driven Software Team: A Practical Guide for Developers, Leaders, and Businesses Preparing for AI in Engineering
AI isn’t “coming to software engineering.” It’s already here—reshaping roles, compressing timelines, and raising the bar on quality and accountability. If you lead, build, or bet on software, this book is your playbook for the next five years.The AI-Driven Software Team blends a compelling narrative with field-tested frameworks. You’ll follow Northpier Works—a 45-person SaaS company—as they evolve from using AI as a helpful assistant to running hybrid human+agent teams, and finally to treating AI as a strategic partner. Along the way, you’ll see what actually changes in day-to-day engineering, and exactly how to adapt your people and processes without losing your culture.
What this book is about
People and process over tools. Clear roles, redesigned rituals, and new accountability structures for human+AI teams. (Think hybrid pods, AI-inclusive RACI, and async status done right.)
Practical leadership in an AI era. How tech leads and managers orchestrate multiple agents, measure performance, safeguard quality, and keep motivation high when repetitive work is automated.
Career and org durability. Role-by-role guidance plus a 12-month readiness roadmap—for developers, managers, and business leaders—to upskill, govern responsibly, and ship faster with fewer surprises.
What this book is not Not a tool catalog or vendor pitch.
Not a coding tutorial or “prompt hacks” list.
Not sci-fi speculation. Everything here is realistic, near-term, and focused on outcomes.
Why this matters now AI is erasing low-leverage tasks, accelerating delivery, and redistributing responsibility across teams. Without a plan, you risk morale dips, skill erosion, compliance gaps, and a broken junior talent pipeline. With the right plan, you’ll reduce cycle time, raise quality, and free your people to solve higher-order product problems. This book gives you that plan—grounded in believable scenarios and backed by clear checklists you can put to work immediately.
Inside, you’ll learn how Redesign team structures as AI agents join the sprint (and who owns what when the agent “works”).
Update Agile rituals for async, AI-generated status—without losing alignment or trust.
Write outcome-centric tickets and acceptance criteria that guide AI safely and effectively.
Run human-grade code reviews for AI output and prevent quiet quality regressions.
Measure what velocity, quality, and the uniquely human value your team creates.
Avoid the big pitfalls—blind trust, scope creep, centralized AI knowledge, and culture drift—and use an “AI kill switch” when needed.
Execute a month-by-month AI readiness plan for the next year.
Who should read this Developers who want to stay sharp as their work shifts from code-typing to outcome design and architectural thinking.
What this book is about
People and process over tools. Clear roles, redesigned rituals, and new accountability structures for human+AI teams. (Think hybrid pods, AI-inclusive RACI, and async status done right.)
Practical leadership in an AI era. How tech leads and managers orchestrate multiple agents, measure performance, safeguard quality, and keep motivation high when repetitive work is automated.
Career and org durability. Role-by-role guidance plus a 12-month readiness roadmap—for developers, managers, and business leaders—to upskill, govern responsibly, and ship faster with fewer surprises.
What this book is not Not a tool catalog or vendor pitch.
Not a coding tutorial or “prompt hacks” list.
Not sci-fi speculation. Everything here is realistic, near-term, and focused on outcomes.
Why this matters now AI is erasing low-leverage tasks, accelerating delivery, and redistributing responsibility across teams. Without a plan, you risk morale dips, skill erosion, compliance gaps, and a broken junior talent pipeline. With the right plan, you’ll reduce cycle time, raise quality, and free your people to solve higher-order product problems. This book gives you that plan—grounded in believable scenarios and backed by clear checklists you can put to work immediately.
Inside, you’ll learn how Redesign team structures as AI agents join the sprint (and who owns what when the agent “works”).
Update Agile rituals for async, AI-generated status—without losing alignment or trust.
Write outcome-centric tickets and acceptance criteria that guide AI safely and effectively.
Run human-grade code reviews for AI output and prevent quiet quality regressions.
Measure what velocity, quality, and the uniquely human value your team creates.
Avoid the big pitfalls—blind trust, scope creep, centralized AI knowledge, and culture drift—and use an “AI kill switch” when needed.
Execute a month-by-month AI readiness plan for the next year.
Who should read this Developers who want to stay sharp as their work shifts from code-typing to outcome design and architectural thinking.
303 pages, Kindle Edition
Published August 22, 2025
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