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[Udemy] GitHub Copilot for Developers: Code Faster With AI Agents [7/2026, ENG] [TorrentX]
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[Udemy] GitHub Copilot for Developers: Code Faster With AI Agents [7/2026, ENG] [TorrentX]

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[Udemy] GitHub Copilot for Developers: Code Faster With AI Agents [7/2026, ENG] [TorrentX]
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[Udemy] GitHub Copilot for Developers: Code Faster With AI Agents [7/2026, ENG] [TorrentX]

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GitHub Copilot for Developers: Code Faster With AI AgentsГод выпуска: 7/2026 Производитель: Udemy Сайт производителя: https://www.udemy.com/course/github-copilot-developer-program/ Автор: Shubham Sarda Продолжительность: 4h 19m Тип раздаваемого материала: Видеоурок Язык: Английский Описание: This course teaches you to use GitHub Copilot as a full AI-powered engineering assistant rather than just an autocomplete tool, covering feature generation, refactoring, testing, security review, and agent orchestration. It is a practical, developer-first mastery program built for real coding workflows, noting that most developers use only 10–20% of Copilot's capabilities. The course is divided into three phases. Phase 1, Foundations, explains how AI coding actually works—user versus system prompts, context and context windows, tokens and how they affect output quality, choosing the right model, LLM versus SLM differences, and how tools like Copilot, Cursor, Claude Code, and Codex differ—so you can control AI instead of guessing prompts. Phase 2, Practical Copilot Usage, covers setup and configuration, inline suggestions versus chat workflows, using the chat window effectively, Agent, Ask, Plan, and Edit modes, managing sessions and checkpoints, the built-in browser, and Bring Your Own Key configuration.Phase 3, Advanced Agentic Development, goes beyond basic tutorials into structuring AI behavior with instruction files (copilot-instructions and custom instructions), prompt files for reusable workflows, custom agents tailored to your project, agent skills for specialized tasks, local versus background versus cloud agents, Git integration and smart actions, MCP (Model Context Protocol) for advanced integrations, and AI code security best practices. By the end, you will know how to generate production-ready code with structured prompts, fix bugs, refactor legacy code, improve readability, automatically generate meaningful unit tests, improve performance, detect security issues, and design a complete AI-powered engineering workflow. If you can already write code, this course shows you how to build faster, refactor smarter, and ship confidently—moving from simply "using Copilot" to engineering with AI. Содержание 1 - Introduction & Resources 1. Course Introduction (02:20) 2. Welcome To Course (03:45) 3. Resources [Important] (03:33)2 - Fundamentals Concepts 4. Common Terms While Using AI (14:46) 5. Type of AI Assistant (04:19)3 - Copilot Basics 6. Copilot Setup Installation, Plans, Alternatives (05:49) 7. Inline Suggestion, Inline Chat, Chat Window, Agent Modes and Model Comparison (13:14) 8. Improve Prompt Execute Agent Mode (09:46) 9. Chat Sessions Execute Edit Mode (11:56) 10. Execute Ask Mode Plan Mode (04:41) 11. Simple Browser (05:21) 12. Checkpoints (04:23) 13. BROK Bring Your Own Key (06:25)4 - Instruction Files 14. Instruction File and it's Types (08:33) 15. Copilot Instructions File (.github copilot-instructions.md) (04:23) 16. Custom Instructions File (General, De

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