AI for Developers by Ken Tannenbaum
The book I wanted when I first started using AI to write code. Not a vendor manual. Not a collection of gimmicky prompts. Not a prediction that AI will replace developers. AI for Developers is a practical guide to integrating AI into real software development workflows - across tools, languages, teams, and stages of development. The book covers GitHub Copilot, Cursor, OpenAI ChatGPT, Anthropic Claude Code, Google Gemini Code Assist, Amazon Q Developer, Windsurf, and other modern coding systems. More importantly, it explains how to use them together - when each tool excels, where each fails, and when to stop prompting and think independently. This book assumes you already know how to code. It does not teach programming fundamentals. Instead, it builds an AI-augmented workflow on top of the skills you already have. Inside, you will learn how to set up productive AI-assisted development environments, write better prompts for coding tasks, and use AI effectively for implementation, debugging, refactoring, testing, documentation, and code review. Each chapter focuses on practical workflows: what reliably works, what consistently fails, and how to recognize the difference before broken code reaches production. Dedicated sections cover frontend and backend development, DevOps and infrastructure, API design, Git workflows, database work, SQL generation, mobile development, and working in large codebases where AI tooling becomes genuinely transformative. Advanced chapters explore AI pair programming, security review, architecture decisions, hallucinated code patterns, evaluation harnesses, retrieval-augmented generation, function calling, and building AI-powered features into your own applications. The book also addresses the organizational side of AI-assisted development: adopting tools across teams, maintaining engineering standards, avoiding overreliance, and keeping developer skills durable as AI systems evolve. Included are comparison tables, prompt frameworks, configuration examples, glossaries, and curated further reading. Tool-specific guidance appears throughout, but the core focus is cross-platform development discipline - the workflows and principles that remain effective no matter which model or IDE becomes popular next. If you have ever shipped AI-generated code that looked perfect until production proved otherwise, this book is for you.
| SKU | Unavailable |
| ISBN 13 | 9798950533167 |
| Title | AI for Developers |
| Author | Ken Tannenbaum |
| Series | Ai For Everyone |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Finnoybu Press |
| Year published | 2026-04-05 |
| Number of pages | 366 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |