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  1. Урок 1. 00:57:57
    001 Introduction to AI-Assisted Software Development
  2. Урок 2. 01:07:48
    002 Context Engineering & Frictionless Setup
  3. Урок 3. 01:03:23
    003 Optional Part 1 Office Hours
  4. Урок 4. 01:12:52
    004 Part 1 Homework - Live Practice Session
  5. Урок 5. 00:16:54
    005 Zero to plan.md using voice transcription
  6. Урок 6. 00:26:53
    006 Working Incrementally with AI Todos and Git
  7. Урок 7. 00:08:46
    007 Adding Tools via MCP
  8. Урок 8. 00:11:42
    008 Week 1 Recorded Breakdowns
  9. Урок 9. 00:08:35
    009 Sandboxed Filesystem for AI Coding with Codespaces
  10. Урок 10. 01:06:13
    010 Interactive Agents & Spec‑First Planning
  11. Урок 11. 00:57:53
    011 AI Code Review, PR Orchestration & Security
  12. Урок 12. 01:15:23
    012 Optional Part 2 Office Hours
  13. Урок 13. 01:09:07
    013 Optional Part 2 Homework - Live Practice Session
  14. Урок 14. 01:30:00
    014 Optional Workshop Investigating and Fixing a Complex Bug with AI Tooling
  15. Урок 15. 00:19:14
    015 Defining Good Code for LLM Context
  16. Урок 16. 00:16:39
    016 Using an Agent To Identify Tech Debt
  17. Урок 17. 00:16:37
    017 LLMs in the CLI using the unix philosophy
  18. Урок 18. 01:05:12
    018 AsyncBackground Agents & Dynamic Context
  19. Урок 19. 01:03:12
    019 Parallelization, Measuring Efficacy, & Continuous Improvement
  20. Урок 20. 01:02:58
    020 Optional Part 3 Office Hourse
  21. Урок 21. 01:03:48
    021 Optional Part 3 Homework - Live Practice Session
  22. Урок 22. 00:48:20
    022 RepoPrompt - How it helps build context
  23. Урок 23. 00:59:20
    023 SpecStory, SpecFlow, and Spec-Driven Dev
  24. Урок 24. 00:59:02
    024 How I Learned to Stop Worrying and Love AI Agents