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 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 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.
Titel
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
Autor
EAN
9789349888203
Format
E-Book (epub)
Hersteller
Genre
Veröffentlichung
11.08.2025
Digitaler Kopierschutz
Wasserzeichen
Dateigrösse
207.41 MB
Anzahl Seiten
590
Unerwartete Verzögerung
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