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Agentic Engineering: Build Software with AI Coding Agents [10/2026, ENG]

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Agentic Engineering: Build Software with AI Coding Agents [10/2026, ENG] (Size: 1.72 GB)
  1 - Week 1 Foundations
  1. Course Trailer What You'll Learn.mp4 13.91 MB
  2. From Autocomplete to Agent.mp4 36.31 MB
  3. Claude Code 101 How Claude Code Works.mp4 34.18 MB
  4. Claude Code Controls Modes, Commands, Models, Shortcuts.mp4 42.29 MB
  5. From Prompt to Commit One Complete Session.mp4 31.49 MB
  6. Context Management Basics.mp4 46.15 MB
  7. Controlling Context and Writing Good Prompts.mp4 47.83 MB
  2 - Week 2 Workflow, CLAUDE.md and Subagents
  10. Verifying the Work.mp4 27.65 MB
  11. CLAUDE.md Explained.mp4 43.23 MB
  12. Generating and Maintaining CLAUDE.md.mp4 38.86 MB
  13. What Subagents Are and When to Use Them.mp4 26.52 MB
  14. Building a Subagent (plus a Reviewer).mp4 54.58 MB
  8. The Core Workflow and Planning.mp4 53.46 MB
  9. Executing the Plan.mp4 40.52 MB
  3 - Week 3 Skills, Hooks and MCP
  15. Introduction to Skills.mp4 45.51 MB
  16. Running a Skill.mp4 47.11 MB
  17. The Grill Me Skill.mp4 65.65 MB
  18. A React Best Practices Skill.mp4 43.15 MB
  19. A Laravel Security Skill.mp4 47.96 MB
  20. Database Skills and Writing Your Own.mp4 41.82 MB
  21. Hooks Make Rules Hold Every Time.mp4 44.06 MB
  22. MCP Explained and Choosing Servers.mp4 38.11 MB
  23. Setting Up Playwright MCP.mp4 29.91 MB
  4 - Week 4 Specs, GitHub and Parallel Work
  24. Spec-Driven Development and OpenSpec.mp4 31.54 MB
  25. Building a New Feature from a Spec.mp4 59.67 MB
  26. Changing a Feature with a Spec.mp4 39.05 MB
  27. GitHub Integration.mp4 73.38 MB
  28. Parallel Development with Conductor.mp4 68.36 MB
  5 - Week 5 Capstone Project
  29. Capstone the Project and Requirements.mp4 93.94 MB
  30. Capstone Project Setup.mp4 69.93 MB
  31. Capstone Data Modeling Part 1.mp4 94.3 MB
  32. Capstone Data Modeling Part 2.mp4 64.57 MB
  33. Capstone Data Modeling Part 3.mp4 70.98 MB
  34. Capstone Core Features Part 1.mp4 65.12 MB
  35. Capstone Core Features Part 2.mp4 63.16 MB
  36. Field Notes and Wrap-Up (Course Finale).mp4 22 MB

Description


Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Machine/Deep Learning, Neural Networks

Agentic Engineering: Build Software with AI Coding Agents

Год выпуска: 10/2026
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/agentic-engineering-build-software-with-ai-coding-agents/
Автор: Sahinur Islam
Продолжительность: 7h 44m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: This course teaches how to steer AI coding agents so the code they write quickly is correct, tested and something you would actually ship, taking learners step by step from a first session with an agent to a finished full-stack app. It starts with how coding agents work and how to run a real Claude Code session, then covers managing context, writing prompts that work and following a simple loop of explore, plan, implement, verify and commit; learners write a CLAUDE memory file that keeps the agent on track, build their own subagents and a code reviewer, and create reusable skills for React, Laravel security and databases. Next come hooks, connecting MCP servers such as Playwright for browser testing, and spec-driven development with OpenSpec to build and change features from a written spec, along with working with GitHub pull requests and CI and running parallel work with git worktrees and Conductor.

The course ends with a capstone project — a Support Desk app built with Laravel 13, React and PostgreSQL — going from requirements to data modeling to core features and an admin area, with 133 passing tests and all 12 requirements done. It includes 36 lectures from a short trailer to the course finale, every prompt, config file, skill, subagent and spec shown in the course, and the full capstone source code in a public GitHub repository linked in the first lecture. It suits developers who want to use AI coding agents on real projects rather than just demos, full-stack and web developers who want a repeatable workflow with Claude Code, and anyone who wants AI-written code that is planned, tested and reviewed. The course notes that screens are drawn walkthroughs with an AI voiceover, and that the scripts, slides and AI voiceover were produced with AI tools while the code examples were generated with AI coding agents as part of what the course teaches.
[spoiler="Содержание"]
1 - Week 1 Foundations
1. Course Trailer What You'll Learn (02:56)
2. From Autocomplete to Agent (07:32)
3. Claude Code 101 How Claude Code Works (07:37)
4. Claude Code Controls Modes, Commands, Models, Shortcuts (09:34)
5. From Prompt to Commit One Complete Session (07:43)
6. Context Management Basics (11:01)
7. Controlling Context and Writing Good Prompts (11:28)

2 - Week 2 Workflow, CLAUDE.md and Subagents
8. The Core Workflow and Planning (12:44)
9. Executing the Plan (10:06)
10. Verifying the Work (06:31)
11. CLAUDE.md Explained (10:25)
12. Generating and Maintaining CLAUDE.md (09:01)
13. What Subagents Are and When to Use Them (06:11)
14. Building a Subagent (plus a Reviewer) (13:22)

3 - Week 3 Skills, Hooks and MCP
15. Introduction to Skills (11:44)
16. Running a Skill (12:07)
17. The Grill Me Skill (17:04)
18. A React Best Practices Skill (11:13)
19. A Laravel Security Skill (12:27)
20. Database Skills and Writing Your Own (10:50)
21. Hooks Make Rules Hold Every Time (12:05)
22. MCP Explained and Choosing Servers (10:02)
23. Setting Up Playwright MCP (07:54)

4 - Week 4 Specs, GitHub and Parallel Work
24. Spec-Driven Development and OpenSpec (08:10)
25. Building a New Feature from a Spec (16:16)
26. Changing a Feature with a Spec (10:31)
27. GitHub Integration (20:38)
28. Parallel Development with Conductor (19:16)

5 - Week 5 Capstone Project
29. Capstone the Project and Requirements (27:16)
30. Capstone Project Setup (19:55)
31. Capstone Data Modeling Part 1 (27:13)
32. Capstone Data Modeling Part 2 (18:01)
33. Capstone Data Modeling Part 3 (20:12)
34. Capstone Core Features Part 1 (18:47)
35. Capstone Core Features Part 2 (17:41)
36. Field Notes and Wrap-Up (Course Finale) (08:56)
[/spoiler]
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1920x1080, 16:9, 30fps, 376kbps
Аудио: AAC, 44.1Hz, 128kbps, stereo
[spoiler="Скриншоты"]





[/spoiler]

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