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Coding has always been a story of evolution.
From binary switches to assembly language, from text editors to intelligent code assistants -- every leap didn't just change how we code, it changed how we think about coding.

Today, AI is not just a tool; it's a partner.
AI can suggest functions, generate full classes, design architectures -- sometimes better than junior developers.
But without understanding how AI actually works, developers risk frustration, hidden bugs, tech debt, and fragile systems.

This book is your guide to mastering AI-assisted coding.

You will learn:


How AI models like LLMs (Large Language Models) actually generate code -- and why they sometimes fail.


How to structure prompts to control AI behavior, improve quality, and minimize hallucinations.


How to manage context windows, token limits, floating point precision, and other hidden traps that affect AI outputs.


How to debug, unit test, and critically review AI-generated code like a senior engineer.


How to teach AI assistants your internal libraries and standards without needing full model retraining.


How leaders can design AI-driven coding workflows, set guardrails, and future-proof their organizations.

We will not treat AI as a "black box magic" tool.
We will treat it as a system -- understandable, guideable, and improvable -- just like any other complex engineering tool.

This book is based on real-world experience as a software engineer, an engineering leader, and a deep explorer of AI systems.
It is practical, direct, and focused on helping you think better, code better, and lead better in an AI-accelerated world.

You will not just "use" AI. You will orchestrate it.

If you are a developer who wants to future-proof your skills, or a leader preparing your teams for AI-driven development,
this book will help you bridge the gap between traditional coding and the next era of software building.

Let's begin.
The future is already typing alongside you.

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Additional Info

  • Publication Date: May 2, 2025
  • Text-to-Speech: Disabled
  • Lending: Disabled
  • Print Length: 115 Pages
  • File Size: 35 KB

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