ISBN: 9798191074863 - github copilot mastery: the complete guide to ai-assisted software development, coding, testing, debugging, and delivery (5 risultati)

Perfeziona la tua ricerca

  • Libri (5)

  • Nuovo (5)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp Aug 2026, 2026

    9798191074863

    • Brossura

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 38,62

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. Neuware - Most developers try GitHub Copilot the same way: accept a few suggestions, paste a prompt into chat, and hope the output is good enough. Sometimes it helps. Sometimes it produces fluent code that is wrong, insecure, incomplete, or disconnected from the real system. The difference is not luck. It is method. GitHub Copilot Mastery is a practical guide to using Copilot as part of disciplined software engineering, not as a novelty autocomplete tool. It shows how to move from occasional experimentation to deliberate AI-assisted development across the full lifecycle: planning, implementation, code understanding, refactoring, debugging, testing, Git and GitHub workflows, pull requests, code review, CI/CD, security, automation, and agentic development. This book is built for working engineers. It assumes programming experience and focuses on the skills that actually determine whether AI assistance improves outcomes: framing the problem clearly, supplying the right context, imposing constraints, evaluating generated output, verifying behavior with tests, and retaining human responsibility for architecture, quality, security, and production decisions. Faster generation is not the goal. Better engineering decisions are.Inside this book, readers learn how to: - Treat Copilot as an AI-assisted engineering capability rather than a prompt toy- Provide high-quality context from files, repositories, requirements, and project conventions- Generate and refine production-oriented code without surrendering design control- Use AI assistance to understand complex codebases, diagnose failures, and improve tests- Apply Copilot in GitHub workflows, pull requests, CI/CD pipelines, and operational automation- Use agentic workflows with clear scope, oversight, and review standards- Establish team adoption practices, governance, and meaningful measures of valueWho this book is for: Software developers, software engineers, DevOps and platform engineers, QA engineers, technical leads, and engineering managers who want to integrate GitHub Copilot into real delivery workflows. It is especially useful for professionals who have already tried Copilot and want a more rigorous, repeatable approach. If the goal is to generate more code, almost any AI tool will oblige. If the goal is to ship software that remains correct, maintainable, and operable, Copilot must be used with engineering judgment. GitHub Copilot Mastery provides the methods, workflows, and decision frameworks needed to do exactly that.…

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2026

    9798191074863

    • Brossura
    • Print on Demand

    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 25,25

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798191074863

    • Brossura
    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 26,30

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Most developers try GitHub Copilot the same way: accept a few suggestions, paste a prompt into chat, and hope the output is good enough. Sometimes it helps. Sometimes it produces fluent code that is wrong, insecure, incomplete, or disconnected from the real system. The difference is not luck. It is method. GitHub Copilot Mastery is a practical guide to using Copilot as part of disciplined software engineering, not as a novelty autocomplete tool. It shows how to move from occasional experimentation to deliberate AI-assisted development across the full lifecycle: planning, implementation, code understanding, refactoring, debugging, testing, Git and GitHub workflows, pull requests, code review, CI/CD, security, automation, and agentic development. This book is built for working engineers. It assumes programming experience and focuses on the skills that actually determine whether AI assistance improves outcomes: framing the problem clearly, supplying the right context, imposing constraints, evaluating generated output, verifying behavior with tests, and retaining human responsibility for architecture, quality, security, and production decisions. Faster generation is not the goal. Better engineering decisions are.Inside this book, readers learn how to: Treat Copilot as an AI-assisted engineering capability rather than a prompt toyProvide high-quality context from files, repositories, requirements, and project conventionsGenerate and refine production-oriented code without surrendering design controlUse AI assistance to understand complex codebases, diagnose failures, and improve testsApply Copilot in GitHub workflows, pull requests, CI/CD pipelines, and operational automationUse agentic workflows with clear scope, oversight, and review standardsEstablish team adoption practices, governance, and meaningful measures of valueWho this book is for: Software developers, software engineers, DevOps and platform engineers, QA engineers, technical leads, and engineering managers who want to integrate GitHub Copilot into real delivery workflows. It is especially useful for professionals who have already tried Copilot and want a more rigorous, repeatable approach. If the goal is to generate more code, almost any AI tool will oblige. If the goal is to ship software that remains correct, maintainable, and operable, Copilot must be used with engineering judgment. GitHub Copilot Mastery provides the methods, workflows, and decision frameworks needed to do exactly that. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2026

    9798191074863

    • Brossura
    • Print on Demand

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 23,56

    EUR 3,93 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798191074863

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 27,65

    EUR 44,18 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Most developers try GitHub Copilot the same way: accept a few suggestions, paste a prompt into chat, and hope the output is good enough. Sometimes it helps. Sometimes it produces fluent code that is wrong, insecure, incomplete, or disconnected from the real system. The difference is not luck. It is method. GitHub Copilot Mastery is a practical guide to using Copilot as part of disciplined software engineering, not as a novelty autocomplete tool. It shows how to move from occasional experimentation to deliberate AI-assisted development across the full lifecycle: planning, implementation, code understanding, refactoring, debugging, testing, Git and GitHub workflows, pull requests, code review, CI/CD, security, automation, and agentic development. This book is built for working engineers. It assumes programming experience and focuses on the skills that actually determine whether AI assistance improves outcomes: framing the problem clearly, supplying the right context, imposing constraints, evaluating generated output, verifying behavior with tests, and retaining human responsibility for architecture, quality, security, and production decisions. Faster generation is not the goal. Better engineering decisions are.Inside this book, readers learn how to: Treat Copilot as an AI-assisted engineering capability rather than a prompt toyProvide high-quality context from files, repositories, requirements, and project conventionsGenerate and refine production-oriented code without surrendering design controlUse AI assistance to understand complex codebases, diagnose failures, and improve testsApply Copilot in GitHub workflows, pull requests, CI/CD pipelines, and operational automationUse agentic workflows with clear scope, oversight, and review standardsEstablish team adoption practices, governance, and meaningful measures of valueWho this book is for: Software developers, software engineers, DevOps and platform engineers, QA engineers, technical leads, and engineering managers who want to integrate GitHub Copilot into real delivery workflows. It is especially useful for professionals who have already tried Copilot and want a more rigorous, repeatable approach. If the goal is to generate more code, almost any AI tool will oblige. If the goal is to ship software that remains correct, maintainable, and operable, Copilot must be used with engineering judgment. GitHub Copilot Mastery provides the methods, workflows, and decision frameworks needed to do exactly that. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…