Github Copilot Step By Step

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Github Copilot Step By Step

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Author : Gomathi S.
language : en
Publisher: Microsoft Press
Release Date : 2025-12-15

Github Copilot Step By Step written by Gomathi S. and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-15 with Computers categories.

Microsoft MVP and MCT Community Lead Dr. Gomathi S. delivers the ultimate hands-on guide to mastering AI-powered coding with GitHub Copilot GitHub Copilot Step by Step: Navigating AI-driven software development is a practical, hands-on guide for developers seeking to master AI-powered coding with GitHub Copilot. Blending clear reference material with step-by-step tutorials, this book makes advanced AI coding concepts accessible to developers and technology enthusiasts at all levels. You will learn to set up Copilot, generate and refine code, automate workflows, and integrate AI into their development process, gaining the essential skills to boost productivity, streamline tasks, and innovate in the rapidly evolving world of software engineering. By reading this book, you will: Understand the foundational concepts and architecture of GitHub Copilot Set up and configure Copilot in popular development environments Generate, review, and refine code suggestions for multiple programming languages Accelerate development tasks from prototyping to debugging with AI assistance Automate repetitive coding tasks and streamline workflows Apply best practices for prompt engineering and troubleshooting Integrate Copilot into team projects and collaborative coding scenarios Explore ethical considerations and limitations of AI-powered coding assistants Customize Copilot’s behavior to fit your unique development needs Discover real-world use cases and advanced workflows for professional teams

Ai Strategies For Web Development

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Author : Anderson Soares Furtado Oliveira
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-30

Ai Strategies For Web Development written by Anderson Soares Furtado Oliveira and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.

From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts.

Ultimate Ai Assisted Development With Github Copilot

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Author : Shallabh Dixitt
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-08-11

Ultimate Ai Assisted Development With Github Copilot written by Shallabh Dixitt and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Computers categories.

TAGLINE Code smarter, Test faster, and Build better with GitHub Copilot! KEY FEATURES ● Master prompt engineering and multi-modal Copilot interactions. ● Use GitHub Copilot for real coding, testing, and DevOps tasks. ● Speed up development with AI-powered code and test generation. DESCRIPTION AI-assisted coding is transforming how software is built—faster, smarter, and with fewer errors. GitHub Copilot leads this revolution by turning natural language into functional code, enabling developers to focus on solving problems rather than writing boilerplate. The Ultimate AI-Assisted Development with GitHub Copilot takes you step-by-step through mastering Copilot, starting with initial setup and basic use across multiple languages like Java, Python, TypeScript, Go, and C++. You’ll explore prompt engineering techniques to craft effective instructions, leverage multi-modal inputs to interact beyond text, and unlock advanced features like Vibe Coding and Agent Mode to create context-aware, intelligent workflows. The book also covers integrating Copilot into testing and debugging processes, automating repetitive tasks, and embedding AI-powered coding into CI/CD pipelines to streamline DevOps practices. Whether you're building APIs, automating tests, refactoring code, or optimizing release workflows, this book teaches you how to collaborate with AI—not just use it. Don't get left behind—unlock the full potential of GitHub Copilot and future-proof your skills today. WHAT WILL YOU LEARN ● Use GitHub Copilot effectively in Python, Java, Go, and C++. ● Write smart prompts to guide Copilot across coding scenarios. ● Build and debug applications using AI-generated code snippets. ● Enhance test automation and integrate Copilot into CI/CD flows. ● Leverage Agent Mode and Vibe Coding for intelligent automation. ● Adapt Copilot for education, framework design, and DevOps tasks. WHO IS THIS BOOK FOR? This book is tailored for developers, testers, SDETs, and automation engineers with hands-on experience in at least one programming language like Java, Python, or TypeScript. A basic understanding of version control and software development workflows is recommended to benefit from the AI-assisted techniques covered fully. TABLE OF CONTENTS 1. The Rise of AI in Coding 2. Getting Started with GitHub Copilot 3. JavaScript/TypeScript with GitHub Copilot 4. Python and AI-Assisted Coding 5. Java with Copilot 6. C/C++ with Copilot 7. Go Programming with Copilot 8. Pair Programming with Copilot 9. Advanced Techniques with Copilot 10. Testing and Debugging with Copilot 11. Updating Workflows with GitHub Copilot 12. Integrating Copilot with IDEs 13. Best Practices and Limitations 14. Copilot in Education 15. Real-World Use Cases and Case Studies 16. The Future of AI-Assisted Coding 17. Recap of the Key Points Index

Artificial Intelligence Tools Book

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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13

Artificial Intelligence Tools Book written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.

Welcome to the exciting and rapidly evolving world of artificial intelligence (AI). This book, "Artificial Intelligence Tools: Unlocking the Power of Intelligent Systems," is designed to be your comprehensive guide to understanding, implementing, and leveraging the cutting-edge tools that drive the advancements in AI. Whether you are a seasoned professional in the field or a curious newcomer, this book aims to provide you with valuable insights and practical knowledge to navigate the multifaceted landscape of AI tools. From machine learning algorithms to neural networks, readers will gain insights into the core concepts that form the backbone of intelligent systems. We aim to make complex ideas accessible, ensuring that readers, regardless of their technical background, can grasp the essentials of AI. Furthermore, we recognize the ethical implications and societal considerations surrounding AI. In a dedicated section, we address the responsible use of AI tools, discussing issues such as bias in algorithms, transparency, and accountability. It is crucial for individuals working with AI to understand the ethical dimensions of their work and strive towards the development of AI systems that align with human values and promote inclusivity. In addition to the technical aspects, this book emphasizes the importance of continuous learning and adaptation in the rapidly evolving field of AI. The final sections explore emerging trends, such as reinforcement learning, autonomous systems, and AI-driven creativity, offering readers a glimpse into the future of artificial intelligence. Key Features 1. Extensive Theoretical Content: The book covers the full spectrum of topics, from fundamental concepts to advanced techniques. Each chapter is designed to build on the previous one, ensuring a logical progression and deep comprehension of the subject matter. 2. Online Test Papers: To reinforce your learning, we provide a series of online test papers that mimic real-world scenarios and challenges. These tests are designed to evaluate your understanding and help you identify areas that need further study. 3. Video Tutorials: Understanding concepts can sometimes be challenging through text alone. Our book includes links to a series of video tutorials that provide visual and auditory explanations of complex topics. These videos are created by experts and are intended to complement the written material, offering a more immersive learning experience. 4. Practical Applications: Each chapter includes real-world examples and case studies that illustrate how application is applied across different industries. 5. Self-Assessment Tools: At the end of each chapter, self-assessment questions and exercises allow you to test your understanding and track your progress. These tools are invaluable in helping you gauge your readiness and build confidence as you move forward. Whether you are an aspiring data scientist, a business professional exploring AI application, or an academic researcher pushing the boundaries of knowledge, "Artificial Intelligence Tools" is crafted to be a valuable companion on your journey. As you embark on this exploration of artificial intelligence, we encourage you to engage with the content, experiment with the tools, and contribute to the ongoing dialogue surrounding the responsible development and application of intelligent systems. The future of AI is in your hands, and we are excited to be part of your learning journey.

Beyond Code

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Author : Daniel Plate
language : en
Publisher: CRC Press
Release Date : 2025-09-02

Beyond Code written by Daniel Plate and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-02 with Computers categories.

AI-powered coding tools are revolutionizing software development, transforming programming from a specialized skill into an accessible educational practice across disciplines. This book investigates how tools such as Cursor AI, GitHub Copilot, and Replit's Ghostwriter are dismantling traditional barriers to entry for learners—particularly those from non-STEM backgrounds—by enabling natural language code generation, intelligent debugging, and interactive, project-based learning. Bridging the gap between theoretical instruction and practical application, the book serves as both a guide and a critical framework for integrating generative AI into curricula. It highlights how these tools expand the boundaries of programming education by supporting interdisciplinary applications, from literary analysis to creative writing, thereby making coding relevant and actionable for students in the humanities and beyond. The book equips educators with the tools and strategies necessary to incorporate AI-assisted programming into diverse academic contexts by offering lesson plans and adaptable project models. This resource is essential for instructors seeking to demystify coding, promote inclusivity in technical learning, and reimagine the role of software literacy in the twenty-first-century classroom.

Mastering Devops On Microsoft Power Platform

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Author : Uroš Kastelic
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-05

Mastering Devops On Microsoft Power Platform written by Uroš Kastelic and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-05 with Computers categories.

Learn from Microsoft Power Platform experts how to leverage GitHub, Azure DevOps, and GenAI tools like Microsoft Copilots to develop and deliver secure, enterprise-scale solutions Key Features Customize Power Platform for secure large-scale deployments with the help of DevSecOps practices Implement code-first fusion projects with ALM and infuse AI in Power Platform using copilots and ChatOps Get hands-on experience through real-world examples using Azure DevOps and GitHub Purchase of the print or Kindle book includes a free PDF eBook Book Description Mastering DevOps on Microsoft Power Platform is your guide to revolutionizing business-critical solution development. Written by two Microsoft Technology Specialists with extensive experience in enterprise-scale Power Platform implementations and DevOps practices, this book teaches you how to design, build, and secure efficient DevOps processes by adapting custom software development practices to the Power Platform toolset, dramatically reducing time, cost, and errors in app modernization and quality assurance. The book introduces application life cycle management (ALM) and DevOps-enabled architecture, design patterns, and CI/CD practices, showing you why companies adopt DevOps with Power Platform. You'll master environment and solution management using Dataverse, Git, the Power Platform CLI, Azure DevOps, and GitHub Copilot. Implementing the shift-left approach in DevSecOps using GitHub Advanced Security features, you’ll create a Power Platform tenant governed by controls, automated tests, and backlog management. You’ll also discover advanced concepts, such as fusion architecture, pro-dev extensibility, and AI-infused applications, along with tips to avoid common pitfalls. By the end of this book, you’ll be able to build CI/CD pipelines from development to production, enhancing the life cycle of your business solutions on Power Platform. What you will learn Gain insights into ALM and DevOps on Microsoft Power Platform Set up Power Platform pipelines and environments by leveraging best practices Automate, test, monitor, and secure CI/CD pipelines using DevSecOps tools, such as VS Code and GitHub Advanced Security, on Power Platform Enable pro-developer extensibility using fusion development to integrate Azure and Power Platform Provision enterprise landing zones and build well-architected workloads Discover GenAI capabilities in Power Platform and support ChatOps with the copilot stack Who this book is for If you are a DevOps engineer, cloud architect, site reliability engineer, solutions architect, software developer, or low-code engineer looking to master end-to-end DevSecOps implementation on Microsoft Power Platform from basic to advanced levels, this book is for you. Prior knowledge of software development processes and tools is necessary. A basic understanding of Power Platform and DevOps processes will also be beneficial.

Mastering Github Copilot

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Author : Camila Jones
language : en
Publisher: Independently Published
Release Date : 2025-10-22

Mastering Github Copilot written by Camila Jones and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-22 with Computers categories.

Mastering GitHub Copilot: AI-Powered Coding for Beginners and Professionals with VS Code, Chat, and Real-World Projects What if writing clean, working code no longer felt slow, overwhelming, or confusing? What if you could turn a simple comment into a working API, a bug fix, or complete documentation-without leaving your editor? This is the world of GitHub Copilot-and this book is your complete roadmap to mastering it. What This Book Will Teach You Whether you're a beginner, a student, a freelancer, or a senior engineer-this book shows you step-by-step how to use GitHub Copilot like a real AI pair-programmer, not just a code autocomplete tool. You'll learn: How Copilot actually works - AI models, context windows, training data, and why understanding this will make you write better prompts. Exactly how to set it up in VS Code, JetBrains, Neovim, GitHub Codespaces, and the Copilot CLI. The art of prompting - inline comments, chat conversations, iterative refinement, debugging prompts, and refactoring strategies. Language-specific mastery with Copilot for Python, JavaScript/TypeScript, C#, Java, Go, SQL, HTML/CSS, Docker, Terraform, and more. Real developer workflows - writing features from user stories, documenting code automatically, fixing bugs, writing tests, and pushing to GitHub. Testing, security, and clean code practices using Copilot for TDD, CI/CD, secure APIs, and performance tuning. Team and enterprise features - pull request reviews, prompt libraries, onboarding developers, security policies, licensing, and ROI calculations. Full real-world projects - FastAPI issue tracker, React data explorer, ASP.NET billing API, Go background worker, and deployment pipeline with Docker + GitHub Actions. Why This Book Is Different This isn't just theory or AI hype. You'll see real code, real bugs, real fixes, and real projects-built directly with Copilot in VS Code and GitHub. Every chapter is practical, with: ✔ Step-by-step walkthroughs ✔ Real prompts and AI responses ✔ Mistake handling and prompt corrections ✔ Project files, tests, documentation, and deployment ✔ Exercises that make you independent-not AI-dependent What You'll Build Along the Way You will create and deploy: ✅ A FastAPI GitHub Issue Tracker (Python + Docker) ✅ A React + Node.js Data Explorer Web App ✅ An ASP.NET Billing API with EF Core + Swagger ✅ A Go CLI Background Worker with Logging and Tests ✅ A Full DevOps Pipeline (Docker → GitHub Actions → Production) ✅ A Legacy Code Refactor Safely with AI Assistance Who Is This Book For? ✔ Beginner developers who want to learn faster ✔ Students learning Python, JavaScript, C#, or Java ✔ Freelancers who want to code and ship faster ✔ Professionals who want to automate debugging, testing, and documentation ✔ Teams and managers exploring AI-powered development safely and ethically Bonus Content Included Ready-to-use prompt templates (CRUD, API, regex, documentation, debugging, refactoring) Keyboard shortcuts cheat sheet (VS Code, Copilot Chat, CLI, JetBrains, Neovim) Copilot troubleshooting guide GitHub Actions CI/CD YAML templates Real team onboarding playbook & enterprise policies The Future of Coding Is Collaborative-You + AI You don't need to replace your coding skills-you need to upgrade how you use them. This book shows you how to code faster, think clearer, solve bugs quicker, and build production-ready software with GitHub Copilot by your side.

Ultimate Ai Assisted Development With Github Copilot Unlock Faster Ai Powered Development Testing And Automation In Java Python Typescript Go And C With Github Copilot

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Author : Shallabh Dixitt
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-08-11

Ultimate Ai Assisted Development With Github Copilot Unlock Faster Ai Powered Development Testing And Automation In Java Python Typescript Go And C With Github Copilot written by Shallabh Dixitt and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Computers categories.

Code smarter, Test faster, and Build better with GitHub Copilot! Key Features● Master prompt engineering and multi-modal Copilot interactions.● Use GitHub Copilot for real coding, testing, and DevOps tasks.● Speed up development with AI-powered code and test generation. Book DescriptionAI-assisted coding is transforming how software is built—faster, smarter, and with fewer errors. GitHub Copilot leads this revolution by turning natural language into functional code, enabling developers to focus on solving problems rather than writing boilerplate. The Ultimate AI-Assisted Development with GitHub Copilot takes you step-by-step through mastering Copilot, starting with initial setup and basic use across multiple languages like Java, Python, TypeScript, Go, and C++. You’ll explore prompt engineering techniques to craft effective instructions, leverage multi-modal inputs to interact beyond text, and unlock advanced features like Vibe Coding and Agent Mode to create context-aware, intelligent workflows. The book also covers integrating Copilot into testing and debugging processes, automating repetitive tasks, and embedding AI-powered coding into CI/CD pipelines to streamline DevOps practices. Whether you're building APIs, automating tests, refactoring code, or optimizing release workflows, this book teaches you how to collaborate with AI—not just use it. Don't get left behind—unlock the full potential of GitHub Copilot and future-proof your skills today. What you will learn● Use GitHub Copilot effectively in Python, Java, Go, and C++.● Write smart prompts to guide Copilot across coding scenarios.● Build and debug applications using AI-generated code snippets.● Enhance test automation and integrate Copilot into CI/CD flows.● Leverage Agent Mode and Vibe Coding for intelligent automation.● Adapt Copilot for education, framework design, and DevOps tasks.

Github Copilot Certification Study Guide

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Author :
language : en
Publisher: John Wiley & Sons
Release Date : 2025-08-27

Github Copilot Certification Study Guide written by and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-27 with Computers categories.

The fastest, most effective way to prepare for the GitHub Copilot certification exam and hone your skills with the popular AI-powered programming tool In the GitHub Copilot Certification Study Guide, tech entrepreneur and Pluralsight trainer, Tom Taulli, delivers a concise and accurate walkthrough of the AI-powered programming tool. Perfect for everyone preparing to take the new GitHub Copilot Certification exam, as well as programmers who regularly use the tool in their day-to-day work, this Study Guide helps you optimize your software development workflows, understand the structure of the test, and learn the material covered by it. This book explains every topic covered by the GitHub Copilot Certification exam, including: Responsible AI GitHub Copilot plans and features The inner workings of GitHub Copilot and how it handles data Prompt crafting and prompt engineering Developer use cases Testing workflows with GitHub Copilot Privacy fundamentals and context exclusions From step-by-step tutorials of the GitHub Copilot installation process to proven exam-taking techniques from the experts at Sybex, the GitHub Copilot Certification Guide explores everything you need to understand to succeed on the test and improve your on-the-job coding performance. It offers: Job-ready strategies and techniques for avoiding common generative AI-enhanced programming pitfalls and making use of its many benefits Up-to-date descriptions of the most useful features and functions of GitHub Copilot, including Copilot Edits Complimentary access to a practice Assessment Test, a Practice Exam, 100 digital flashcards, and a glossary of key terms on the Sybex online learning environment Generative AI tools, like GitHub Copilot, have transformed the software engineering and programming landscapes. If you're preparing for the certification exam, or you wish to expand your AI coding skillset, grab a copy of the GitHub Copilot Certification Study Guide today.

Introduction To Generative Ai Second Edition

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Author : Numa Dhamani
language : en
Publisher: Simon and Schuster
Release Date : 2026-01-13

Introduction To Generative Ai Second Edition written by Numa Dhamani and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-13 with Computers categories.

Get up to speed quickly with generative AI! AI tools like ChatGPT and Gemini, automated coding tools like Cursor and Copilot, and countless LLM-powered agents have become a part of daily life. They’ve also spawned a storm of misinformation, hype, and doomsaying that makes it tough to understand exactly what Generative AI actually is and what it can really do. Introduction to Generative AI, Second Edition delivers a clearly-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively. In this easy-to-read introduction, you’ll learn: • How large language models (LLMs) work • How to apply AI across personal and professional work • The social, legal, and policy landscape around generative AI • Emerging trends like reasoning models and vibe coding Introduction to Generative AI, Second Edition guides you from your first eye-opening interaction with tools like ChatGPT to how AI tools can transform your personal and professional life safely and responsibly. This second edition has been completely revised to reflect the latest developments in the field—from the latest innovations in prompt engineering and AI agents to fresh coverage of multimodal training, reasoning models, no-code tools, retrieval-augmented generation (RAG), and more. About the book Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage. About the reader For anyone interested in generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models.