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{ "item_title" : "AI-Powered Programming with GitHub Copilot", "item_author" : [" Frank Donovan "], "item_description" : "AI-Powered Programming with GitHub CopilotA Hands-On Guide to Modern Software DevelopmentWrite code faster-but more importantly, write code you won't regret.AI tools like GitHub Copilot are transforming how software is built. You can now generate functions, APIs, and entire systems in seconds.But there's a problem.Speed without control leads to fragile systems, hidden bugs, and technical debt that compounds over time.This book shows you how to avoid that.What This Book Is Really AboutThis is not another how to use Copilot guide.It's a practical blueprint for staying in control in an AI-assisted development world.You'll learn how to think, design, and build systems that remain: ClearReliableScalableMaintainableeven when code is generated, not written from scratch.Inside, You'll Learn How To: Use GitHub Copilot effectively without over-trusting its outputBuild backend systems with clean architecture and strong foundationsWrite code that stays understandable months after you ship itIdentify and eliminate hidden assumptions in your logicDebug systems where nothing is broken-but results are wrongDesign resilient integrations with external APIs and servicesHandle concurrency, latency, and real-world system behaviorApply testing as a control system-not just a verification stepShip with confidence using observability, CI/CD, and controlled rolloutsMaintain full ownership in an AI-assisted workflowThe Hidden Risk This Book SolvesAI doesn't just generate code.It generates plausible code.Code that looks correct...Code that passes casual inspection...Code that quietly introduces long-term problems.This book teaches you how to: slow down at the right momentsquestion what's generatedand build systems that hold up under real conditionsWho This Book Is ForThis book is for developers who: Already understand programming fundamentalsAre using (or planning to use) AI coding tools like CopilotWant to move beyond tutorials and build production-grade systemsCare about long-term maintainability-not just short-term speedWhat Makes This Book DifferentInstead of theory, you get: Real-world scenariosPractical patternsClear mental modelsActionable workflowsEvery chapter is designed to help you think better, not just code faster.Final ThoughtAI won't replace developers.But it will amplify how they work.The real advantage is no longer writing more code.It's building systems that remain stable, understandable, and reliable-no matter how fast you move.If you want to use AI tools without losing control of your codebase, this book will change how you build software.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/819/714/9798197142368_b.jpg", "price_data" : { "retail_price" : "32.00", "online_price" : "32.00", "our_price" : "32.00", "club_price" : "32.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI-Powered Programming with GitHub Copilot|Frank Donovan

AI-Powered Programming with GitHub Copilot : A Hands-On Guide to Modern Software Development

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Overview

AI-Powered Programming with GitHub Copilot

A Hands-On Guide to Modern Software Development

Write code faster-but more importantly, write code you won't regret.

AI tools like GitHub Copilot are transforming how software is built. You can now generate functions, APIs, and entire systems in seconds.

But there's a problem.

Speed without control leads to fragile systems, hidden bugs, and technical debt that compounds over time.

This book shows you how to avoid that.

What This Book Is Really About

This is not another "how to use Copilot" guide.

It's a practical blueprint for staying in control in an AI-assisted development world.

You'll learn how to think, design, and build systems that remain:

  • Clear
  • Reliable
  • Scalable
  • Maintainable

even when code is generated, not written from scratch.

Inside, You'll Learn How To:

  • Use GitHub Copilot effectively without over-trusting its output
  • Build backend systems with clean architecture and strong foundations
  • Write code that stays understandable months after you ship it
  • Identify and eliminate hidden assumptions in your logic
  • Debug systems where "nothing is broken"-but results are wrong
  • Design resilient integrations with external APIs and services
  • Handle concurrency, latency, and real-world system behavior
  • Apply testing as a control system-not just a verification step
  • Ship with confidence using observability, CI/CD, and controlled rollouts
  • Maintain full ownership in an AI-assisted workflow

The Hidden Risk This Book Solves

AI doesn't just generate code.

It generates plausible code.

Code that looks correct...

Code that passes casual inspection...

Code that quietly introduces long-term problems.

This book teaches you how to:

  • slow down at the right moments
  • question what's generated
  • and build systems that hold up under real conditions

Who This Book Is For

This book is for developers who:

  • Already understand programming fundamentals
  • Are using (or planning to use) AI coding tools like Copilot
  • Want to move beyond tutorials and build production-grade systems
  • Care about long-term maintainability-not just short-term speed

What Makes This Book Different

Instead of theory, you get:

  • Real-world scenarios
  • Practical patterns
  • Clear mental models
  • Actionable workflows

Every chapter is designed to help you think better, not just code faster.

Final Thought

AI won't replace developers.

But it will amplify how they work.

The real advantage is no longer writing more code.

It's building systems that remain stable, understandable, and reliable-no matter how fast you move.

If you want to use AI tools without losing control of your codebase, this book will change how you build software.

This item is Non-Returnable

Details

  • ISBN-13: 9798197142368
  • ISBN-10: 9798197142368
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 10 x 7 x 0.19 inches
  • Shipping Weight: 0.39 pounds
  • Page Count: 92

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