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275237998
GITHUB COPILOT HANDBOOK: A Guide to Multi-Model AI, Agentic Workflows, and Advanced Code Generation (Programming AI & Development Handbook Collection)
Item #:
275237998
AUD 49
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Master the transition from manual autocomplete to fully autonomous engineering with the definitive guide to the 2026 AI-native landscape.
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- Master the transition from manual autocomplete to fully autonomous engineering with the definitive guide to the 2026 AI-native landscape.In the last two years, the role of the software engineer has undergone a radical transformation. Writing code is no longer the bottleneck—designing the systems that generate that code is. In GitHub Copilot Handbook, veteran technologist Sammy Tech delivers a comprehensive masterclass in navigating this new era of Agentic Workflows and Multi-Model Intelligence.Whether you are a senior architect looking to scale your team’s output or a developer aiming to future-proof your career, this handbook provides the blueprints for building software at the speed of thought.Inside, you will discover how to:Move Beyond Autocomplete: Transition from simple line-completion to Agentic Workflows using @workspace and @terminal to research, plan, and execute multi-file features.Leverage Multi-Model AI: Master the Shadow Repository and the Model Context Protocol (MCP) to switch between GPT-5, Claude 4, and Gemini 3 based on the specific complexity of the task.Build Custom Agentic Skills: Program your own specialized agents to automate architectural reviews, security audits, and legacy code migrations from COBOL or Java 8 to modern stacks.Implement Human-in-the-Loop Governance: Maintain control over autonomous systems with high-level supervision patterns that prevent Autonomous Drift and protect intellectual property.Master the AI-Native Terminal: Turn your CLI into a natural language conversation, automating DevOps, infrastructure-as-code (IaC), and complex Git merge resolutions.The 2026 Engineering FrameworkThis isn't just a book about a tool; it's a book about a new way of thinking. You’ll learn the Semantic Knowledge Graph approach to codebase memory and how to measure the real ROI of AI-assisted development through Cycle Time Reduction and Defect Density metrics.What’s Included:12 Comprehensive Chapters covering everything from basic setup to fully autonomous software agents.Appendix of 2026 Prompt Patterns: A Cheat Sheet for structured signaling in GPT-5 and Claude 4.LangGraph Implementation Guides: Step-by-step code for building self-healing test loops and migration agents.Enterprise Security Protocols: Strategies for catching AI-generated vulnerabilities and managing IP protection at scale.The machine is ready. The agents are waiting. The future of software is autonomous—are you ready to lead the revolution?
| Publisher | Independently published |
| Publication date | April 15, 2026 |
| Edition | Large Print |
| Language | English |
| Print length | 121 pages |
| ISBN-13 | 979-8257555817 |
| Item Weight | 6.1 ounces (172.94 grams) |
| Dimensions | 6 x 0.28 x 9 inches (15.2 x 0.7 x 22.9 cm) |
| Book 6 of 12 | Programming AI & Development Handbook Collection |
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GITHUB COPILOT HANDBOOK: A Guide to Multi-Model AI, Agentic Workflows, and Advanced Code Generation (Programming AI & Development Handbook Collection)
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Features & Benefits
- Transform your coding skills and adapt to AI-driven workflows.
- Utilize advanced techniques for multi-model AI to enhance productivity.
- Learn to create and manage custom agents for software processes.
- Implement effective governance to control autonomous systems.
- Master the AI-Native Terminal for seamless development automation.
- Future-proof your career by understanding the upcoming 2026 engineering landscape.
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