AI Coding Engines

You're already writing good code. This book teaches you how to ship ten times faster — without sacrificing quality, control, or your engineering judgment.

The gap between developers who use AI tools casually and those who engineer with AI deliberately is widening every quarter. This book closes that gap. Written for working programmers — not researchers, not enthusiasts — it goes straight to what matters: making you dramatically more productive with the AI systems already at your fingertips.

From GPT-4 and GitHub Copilot to open-source agent frameworks, you'll learn not just how these tools work, but how to bend them to your exact workflow. You'll build custom agents that handle the tedious parts of development — boilerplate, test generation, refactoring, documentation — so you can focus on the work only you can do.

What you'll be able to do

• Automate the grind: Offload repetitive tasks to agents — tests, docs, scaffolding — and reclaim hours every week
• Prompt like an expert: Move past trial-and-error prompting with systematic techniques that produce reliable, production-grade output
• Build your own agents: Design and deploy LLM-powered agents tailored to your stack, your codebase, and your team's standards
• Stay in control: Understand exactly what the model is doing — and when to trust it, correct it, or override it entirely

Every chapter is grounded in real-world engineering decisions, not toy examples. You'll come away with a toolkit that works on Monday morning — in legacy codebases, in production pipelines, and on the messy, ambiguous problems that tutorials never cover.

Whether you're a solo developer trying to move faster, a tech lead looking to raise your team's ceiling, or an engineer who wants to genuinely understand where AI fits in the craft of software — this is the book that was written for you.