Articoli correlati a GITHUB COPILOT MASTERY: The Complete Guide to AI-Assisted...
GITHUB COPILOT MASTERY: The Complete Guide to AI-Assisted Software Development, Coding, Testing, Debugging, and Delivery - Brossura
Sinossi
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 value
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per GITHUB COPILOT MASTERY: The Complete Guide to AI-Assisted...
Foto dell'editore
Github Copilot Mastery
Print on DemandDa: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798191074863
Compra nuovo
EUR 25,18
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Github Copilot Mastery (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
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. Codice articolo 9798191074863
Compra nuovo
EUR 26,23
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Github Copilot Mastery
Print on DemandDa: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
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. Codice articolo L0-9798191074863
Compra nuovo
EUR 23,52
Spedizione EUR 3,92
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Github Copilot Mastery (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
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. Codice articolo 9798191074863
Compra nuovo
EUR 27,61
Spedizione EUR 44,12
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Github Copilot Mastery : The Complete Guide to AI-Assisted Software Development, Coding, Testing, Debugging, and Delivery
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
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. Codice articolo 9798191074863
Compra nuovo
EUR 38,62
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili