A hands-on, Java-first guide to prompting, coding, debugging, testing, and shipping software with AI built for developers who want to work with AI, not just next to it.
You can read it cover to cover, or jump straight to the chapters that solve today's problem.
Never touched an AI coding tool. Every concept is explained from scratch, with analogies before any technical detail.
Already dabbling with Copilot or ChatGPT, but knows there's more on the table. Wants structured prompting and workflows.
Makes technology calls for a team. Needs the strengths, limits, and risks of AI-assisted development to set good policy.
Preparing for product-company interviews where AI fluency is now part of the bar. A full chapter is built for this.
Not a book about AI theory, but a practical, hands-on guide for developers using AI tools in daily work, today.
Every concept opens with a real-world analogy before any technical detail.
Netflix, Google, Amazon, Microsoft, GitHub, Stripe, Spotify and more, in practice.
Every example is runnable in the world's most widely taught language.
Visual, step-by-step illustrations for every major workflow.
Full explanations for every correct and incorrect option: built to teach, not just test.
Real questions top companies ask about AI-assisted development.
Where AI tooling is heading next, not just where it stands today.
From Bengaluru to Berlin to San Francisco, the same practical grounding.
Every chapter breaks decisions like this into a diagram, so you can act on it in seconds, not paragraphs.
Get the full chapter as a free PDF: role-based prompting, iterative refinement, and context management, straight from the book.
Tap a module to see what's covered.
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