SØG - mellem flere end 8 millioner bøger:
Viser: GitHub Copilot Step by Step - Navigating AI-Driven Software Development
GitHub Copilot Step by Step
Navigating AI-Driven Software Development
Gomathi S.
(2025)
Sprog: Engelsk
om ca. 15 hverdage
Detaljer om varen
- Paperback: 368 sider
- Udgiver: Pearson Education (December 2025)
- ISBN: 9780135493045
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
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. xvii Introduction.
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. xxiii
Chapter 1: Introduction to GitHub Copilot
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. 1 Practice files.
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. 1 Understand GitHub Copilot and its core functionality.
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. 2 Explore the AI technology behind GitHub Copilot.
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. 5 Learn how GitHub Copilot handles privacy and applies responsible AI.
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. 23 Recognize the limitations and ethical considerations of GitHub Copilot.
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. 25 Skills review.
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. 29 Practice tasks
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. 30
Chapter 2: Setting up GitHub Copilot for your development workflow.
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. 33 Practice files.
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. 33 Set up your GitHub account and select a Copilot plan.
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. 34 Install Copilot in your development environment.
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. 39 Configure permissions and personal settings.
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. 44 Test Copilot with sample prompts across languages.
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. 50 Troubleshoot installation issues and common errors.
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. 53 Apply best practices for using Copilot effectively.
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. 56 Explore Copilot''s functionality in online and offline modes.
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. 59 Skills review.
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. 62 Practice tasks
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. 63
Chapter 3: Writing effective prompts for AI-powered coding.
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. 67 Practice files.
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. 67 Understand what makes a prompt for AI code generation effective.
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. 68 Use comment-based, function signature, and docstring prompts.
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. 71 Refine or rewrite prompts to improve suggestion quality
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. 74 Apply prompt templates for algorithms, tests, refactoring, and more.
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. 77 Customize prompts for specific languages, libraries, and frameworks.
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. 81 Identify and fix vague and inefficient prompts
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. 84 Build an iterative workflow to continuously improve prompt results.
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. 88 Skills review.
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. 91 Practice tasks
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. 92
Chapter 4: Enhancing code efficiency with AI assistance.
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. 95 Practice files.
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. 95 Apply advanced prompting to guide GitHub Copilot
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. 96 Automate repetitive tasks using AI
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. 104 Refactor inefficient or legacy code
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. 112 Implement clean coding practices.
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. 118 Improve code readability and structure.
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. 124 Evaluate AI suggestions for quality.
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. 128 Skills review.
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. 134 Practice tasks
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. 135
Chapter 5: Debugging and troubleshooting code with Copilot.
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. 139 Practice Files.
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. 139 Identify common code issues with GitHub Copilot.
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. 140 Use Copilot to suggest and apply bug fixes
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. 145 Improve error handling by using AI-assisted recommendations
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. 150 Optimize code performance through Copilot-driven insights
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. 153 Skills review.
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. 158 Practice tasks
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. 159
Chapter 6: Writing and automating tests with GitHub Copilot.
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. 163 Practice files.
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. 163 Generate unit tests and integration tests using GitHub Copilot.
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. 164 Automate test case creation to reduce repetitive coding.
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. 169 Work with popular testing frameworks
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. 175 Write clear and structured test prompts for Copilot to follow.
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. 178 Apply best practices to improve the reliability of AI-generated tests.
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. 182 Skills review.
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. 187 Practice tasks
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. 188
Chapter 7: Using GitHub Copilot for code reviews and collaboration.
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. 191 Practice files.
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. 191 Explore Copilot''s help with code reviews.
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. 192 Generate refactoring suggestions.
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. 197 Create clear inline documentation.
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. 203 Use Copilot for alternative implementations
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. 207 Collaborate with teammates using AI-enhanced feedback.
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. 212 Skills review.
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. 219 Practice tasks
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. 220
Chapter 8: Using AI-powered development workflows in real-world scenarios.
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. 223 Practice files.
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. 223 Discover real-world Copilot use cases.
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. 224 Explore AI workflows.
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. 239 Understand the role of AI across industries.
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. 248 Apply practical examples of AI in your projects.
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. 259 Reflect on Copilot''s impact on teams.
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. 262 Skills review.
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. 264 Practice tasks
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. 265
Chapter 9: Avoiding common pitfalls with GitHub Copilot.
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. 269 Practice files.
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. 269 Spot and fix common Copilot mistakes
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. 270 Understand why Copilot mistakes happen.
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. 274 Fix and refine AI-generated code.
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. 279

