Programming with GitHub Copilot : Write Better Code--Faster!

Programming with GitHub Copilot Write Better Code--Faster!

Accelerate your programming with the most popular AI coding tool on the market: GitHub Copilot In Programming with GitHub Copilot: Write Better Code -- Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful...

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Detalles Bibliográficos
Autor principal: Dowswell, Kurt (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Ltd 2024.
Edición:1st ed
Colección:Tech Today Series
Materias:
Git (Computer file)
Computer software > Development.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009841204406719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Acknowledgments
  • About the Author
  • Contents at a Glance
  • Contents
  • Introduction
  • Part I Getting Started with GitHub Copilot
  • Chapter 1 Get Started with GitHub Copilot
  • Learn Why GitHub Copilot Matters
  • Create a GitHub Account
  • Acquire a GitHub Copilot License
  • Install an IDE Extension
  • Download Visual Studio Code
  • Install the GitHub Copilot Extension
  • Configure the IDE Settings for Copilot
  • Install Node.js
  • First Run: Test Copilot
  • Get the Prerequisites
  • Explore Copilot
  • Conclusion
  • Reference
  • Chapter 2 Decoding GitHub Copilot
  • Uncover the AI Behind GitHub Copilot
  • Understand Security, Privacy, and Data Handling
  • Message Transmission
  • Data Storage
  • Prompt and Suggestion Data
  • User Engagement Data
  • Additional Security
  • Vulnerability Prevention System
  • GitHub Advanced Security
  • Understand Copyright Protections
  • Explore the GitHub Copilot Trust Center
  • Conclusion
  • References
  • Part II GitHub Copilot Features in Action
  • Chapter 3 Exploring Code Completions
  • Introducing Code Completions
  • Working with Copilot Code Completions
  • Prerequisites
  • Naming Your File
  • Top-Level Comment
  • Using Meaningful Names
  • Writing Specific Comments
  • Referencing Open Tabs
  • Discovering the Toolbar and Panel
  • Detailing the Completions Toolbar
  • Discover the Completions Panel
  • Updating Copilot Settings
  • inlineSuggestCount
  • length
  • listCount
  • Leveraging Keyboard Shortcuts
  • Focus on GitHub Copilot View
  • Suggest Terminal Command
  • Triggering Inline Suggestion
  • Navigate to the Next Panel Suggestion
  • Navigate to the Previous Panel Suggestion
  • Open Completions Panel
  • Conclusion
  • Chapter 4 Chatting with GitHub Copilot
  • Discovering Copilot Chat
  • Chatting in the Sidebar
  • Maximizing Conversations with the Editor View.
  • Expanding Your Conversation to a New Window
  • Shifting the Conversation to the Right
  • Utilizing Inline Chat
  • Discovering Quick Chat
  • Defining Prompt Engineering with Copilot Chat
  • Understanding the Basics
  • Prompting for Code
  • Prompting for Solutions
  • Having a Single Clear Objective
  • Specifying a Specific Technology
  • Keeping Prompts Short
  • Gaining Context in Chat
  • Open Tabs Context
  • Editor Context
  • File Context
  • Selection Context
  • Commanding Your Conversation with Precision
  • Querying with @workspace
  • Learning with /explain
  • Generating Tests with /tests
  • Finding a Fix with /fix
  • Scaffolding with /new
  • Crafting with /newNotebook
  • Engaging with @vscode
  • Inquiring with /api
  • Learning with @terminal
  • Conclusion
  • Part III Practical Applications of GitHub Copilot
  • Chapter 5 Learning a New Programming Language
  • Introducing Language Education with Copilot
  • Setting Up Your Development Environment
  • Prerequisites
  • Setup Guide
  • Learning the Basics
  • Prerequisites
  • Learning C# with Copilot
  • Creating a Console Application
  • Prerequisites
  • Creating a C# Console Application with Copilot
  • Explaining Code with Copilot
  • Adding New Code
  • Learning to Test
  • Creating Context with Selection
  • Creating Context with Tags
  • Running Tests
  • Conclusion
  • Reference
  • Chapter 6 Writing Tests with Copilot
  • Establishing the Example Project
  • Prerequisites
  • Adding Unit Tests to Existing Code
  • Driving Unit Test Creation with Comments
  • Using Inline Chat to Generate Tests
  • Exploring Behavior-Driven Development with Copilot
  • Adding User Accounts
  • Setup
  • End-to-End Tests
  • Conclusion
  • Chapter 7 Diagnosing and Resolving Bugs
  • Establishing the Example Project
  • Prerequisites
  • Fixing Syntax Errors
  • Resolving Runtime Exceptions
  • Setup
  • Resolving Terminal Errors
  • Conclusion.
  • Chapter 8 Code Refactoring with Copilot
  • Introducing Code Refactoring with Copilot
  • Establishing the Example Project
  • Prerequisites
  • Refactoring Duplicate Code
  • Adding Unit Tests
  • Refactoring Duplicate Error Handling Code
  • Refactoring Validators
  • Adding Unit Tests
  • Extracting Validation Code to Functions
  • Refactoring Bad Variable Names
  • Documenting and Commenting Code
  • Method Documentation
  • Project Documentation
  • Conclusion
  • Chapter 9 Enhancing Code Security
  • Detailing Code Security
  • Establishing the Example Project
  • Prerequisites
  • Exploring Code Security
  • Using HTTPS
  • Implementing Validation
  • Conclusion
  • Finding and Fixing Security Issues
  • Fixing Weak Password Hashing
  • Fixing SQL Injection
  • Conclusion
  • Chapter 10 Accelerating DevSecOps Practices
  • Detailing DevSecOps
  • Simplifying Containers
  • Creating a Container
  • Deploying a Container
  • Applying Security Controls
  • Automating Infrastructure as Code
  • Creating IaC
  • Deploying Code Using Terraform
  • Applying Security Controls
  • Streamlining CI/CD Pipelines
  • Creating CI Pipeline
  • Adding Security Scanning
  • Creating CD Pipeline
  • Conclusion
  • Chapter 11 Enhancing Development Environments with Copilot
  • Amplifying Visual Studio with Copilot
  • Prerequisites
  • Installing the GitHub Copilot Extension
  • Exploring Code Completions
  • Chatting with Copilot
  • Elevating Azure Data Studio with Copilot
  • Prerequisites
  • Installing the GitHub Copilot Extension
  • Constructing Database Schemas with Copilot
  • Inserting Test Data with Copilot
  • Querying with Copilot
  • Boosting JetBrains IntelliJ IDEA with Copilot
  • Prerequisites
  • Installing the GitHub Copilot Extension
  • Exploring Code Completions
  • Chatting with Copilot
  • Enhancing Neovim with Copilot
  • Prerequisites
  • Installing the GitHub Copilot Extension.
  • Exploring Code Completions
  • Consulting Copilot in the GitHub CLI
  • Prerequisites
  • Installing the GitHub Copilot Extension
  • Getting Suggestions with Copilot
  • Explaining Commands with Copilot
  • Setting Up Aliases for Copilot
  • Bash
  • PowerShell
  • Zsh
  • References
  • Conclusion
  • Chapter 12 Universal Conversion with GitHub Copilot
  • Translating Natural Language to Programming Languages
  • Converting JavaScript Components
  • Simplifying CSS Styles
  • Converting Between CSS Frameworks
  • Enhancing Nontyped Languages with Types
  • JavaScript to Typescript
  • Transitioning Between Frameworks and Libraries
  • Pandas to Polars
  • Express.js to Koa.js
  • Converting Object-Oriented Languages
  • Objective-C to Swift
  • Migrating Databases
  • SQL Server to PostgreSQL
  • Transitioning CI/CD Platforms
  • Modernizing Legacy Systems
  • Modernizing a COBAL Program
  • Conclusion
  • Reference
  • Part IV Key Insights and Advanced Use Cases for GitHub Copilot
  • Chapter 13 Considering Responsible AI with GitHub Copilot
  • Introducing Responsible AI
  • Responsible AI Regulation
  • Examining How Copilot Implements Responsible AI
  • Fairness
  • Reliability and Safety
  • Privacy and Security
  • Data Protection
  • Vulnerability Prevention System
  • Inclusiveness
  • Transparency
  • Accountability
  • Further Research
  • Programming with AI Responsibly
  • Researching Responsible AI Principles
  • Conclusion
  • References
  • Chapter 14 Augmenting the Software Development Life Cycle with GitHub Copilot
  • Introducing the SDLC
  • Requirements
  • Design
  • Coding
  • Testing
  • Deployment
  • Maintenance
  • Assessing the Adoption of AI in the SDLC
  • Detailing Levels of AI Integration in the SDLC
  • Level 0: Nonexistent
  • Capabilities Demonstrated
  • Level 1: Initial
  • Capabilities Demonstrated
  • Level 2: Managed
  • Capabilities Demonstrated
  • Level 3: Defined.
  • Capabilities Demonstrated
  • Level 4: Quantitatively Managed
  • Capabilities Demonstrated
  • Level 5: Optimizing
  • Capabilities Demonstrated
  • Summary
  • Showcasing GitHub Copilot in the SDLC
  • Detailing the Example Scenario
  • Requirements Gathering
  • Refining the Backlog
  • Planning with Copilot
  • Coding with Copilot
  • Testing with Copilot
  • Deploying with Copilot
  • Addressing Concerns: AI Adoption and the Future of Work
  • Conclusion
  • References
  • Chapter 15 Exploring Copilot Business and Enterprise
  • Introducing Copilot Business and Enterprise
  • Detailing Base Features
  • Programming with Copilot in Your IDE
  • Chatting with Copilot in Your IDE
  • Leveraging Copilot in the CLI
  • Highlighting Copilot Business
  • Presenting Copilot Enterprise
  • Chatting with Copilot in GitHub.com
  • Getting Insights About a Repository
  • Asking Copilot General Programming Questions
  • Indexing Code Repositories to Improve Copilot's Understanding
  • Detailing the Example Project
  • Introducing Retrieval-Augmented Generation
  • Indexing Your Repository
  • Asking Repository-Specific Questions
  • How Question
  • Where Question
  • Getting Better Answers with the Knowledge Base
  • Creating a Knowledge Base
  • Summary
  • Leveraging Copilot Chat in Code Repository Files
  • Explaining Code with Copilot
  • Getting Suggested Improvements from Copilot
  • Adding Context with Attach to Current Thread
  • Enhancing Pull Requests with Copilot
  • Discovering Pull Request Tasks
  • Making a Code Change with Copilot
  • Update the Basket Domain Model
  • Update the Basket Service
  • Update the Basket Page
  • Committing to the Feature Branch
  • Leveraging Copilot to Summarize Your Pull Request
  • Managing GitHub Copilot
  • Managing Access
  • Managing Policies
  • Content Exclusion
  • Reviewing Audit Logs
  • Looking Ahead
  • Augmenting Results with Web Search Powered by Bing.
  • Customizing Copilot with Fine-Tuned Models.

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