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  1. Урок 1. 00:01:42
    Introduction
  2. Урок 2. 00:01:02
    Setup
  3. Урок 3. 00:01:32
    A Proper Mental Model of LLMs
  4. Урок 4. 00:11:25
    Large Language Models and Grammar
  5. Урок 5. 00:04:22
    Conceptual Aside: Vectors
  6. Урок 6. 00:04:44
    Attention and Attending
  7. Урок 7. 00:03:13
    Conceptual Aside: Determinism vs Non-Determinism
  8. Урок 8. 00:02:14
    Determinism and the Digital Age
  9. Урок 9. 00:01:53
    Conceptual Aside: Programming Language Grammar
  10. Урок 10. 00:07:07
    Prediction and Statistics
  11. Урок 11. 00:04:14
    Confabulation and Unreliability
  12. Урок 12. 00:02:34
    Conceptual Aside: Reasoning Models
  13. Урок 13. 00:01:59
    Conceptual Aside: Agents
  14. Урок 14. 00:03:25
    You Aren't Having a Conversation (and the Dangers of Anthropomorphization)
  15. Урок 15. 00:00:25
    Context Engineering and Management
  16. Урок 16. 00:02:02
    Pattern Matching and Navigating the Embedding Space
  17. Урок 17. 00:02:41
    Is It Engineering?
  18. Урок 18. 00:04:04
    Project Context
  19. Урок 19. 00:02:05
    Technical Context
  20. Урок 20. 00:04:28
    Context Refresh and Drift
  21. Урок 21. 00:02:46
    Immediate Context
  22. Урок 22. 00:02:39
    Task Context
  23. Урок 23. 00:02:49
    Clean Human Code
  24. Урок 24. 00:02:13
    Agents and Context
  25. Урок 25. 00:00:57
    Prompt Engineering
  26. Урок 26. 00:03:08
    The Anatomy of Effective Prompts
  27. Урок 27. 00:03:29
    Decomposition
  28. Урок 28. 00:01:57
    Roles and Personas
  29. Урок 29. 00:02:18
    Specificity and Constraints
  30. Урок 30. 00:02:17
    Examples of Expected Behavior
  31. Урок 31. 00:01:49
    Session Context
  32. Урок 32. 00:00:33
    Code Generation Workflows Planning
  33. Урок 33. 00:05:32
    Brainstorming
  34. Урок 34. 00:02:00
    Business Rules and Constraints
  35. Урок 35. 00:09:33
    Documentation
  36. Урок 36. 00:10:41
    Implementation Planning
  37. Урок 37. 00:00:25
    The Context Problem
  38. Урок 38. 00:01:50
    Conceptual Aside: Context Window
  39. Урок 39. 00:01:44
    Window Size
  40. Урок 40. 00:04:43
    Conceptual Aside: System Prompt
  41. Урок 41. 00:01:57
    Context Rot
  42. Урок 42. 00:01:54
    Conceptual Aside: Markdown
  43. Урок 43. 00:00:20
    Skills
  44. Урок 44. 00:02:30
    The Anatomy of a Skill
  45. Урок 45. 00:04:07
    Frontmatter
  46. Урок 46. 00:03:06
    Instructions
  47. Урок 47. 00:03:36
    Scripts
  48. Урок 48. 00:02:06
    Assets
  49. Урок 49. 00:00:37
    How Agents Integrate Skills
  50. Урок 50. 00:01:12
    Conceptual Aside: Progressive Disclosure
  51. Урок 51. 00:02:21
    Discover
  52. Урок 52. 00:03:13
    Load Metadata
  53. Урок 53. 00:04:12
    Match Tasks to Skills
  54. Урок 54. 00:02:14
    Activate
  55. Урок 55. 00:05:26
    Execute and Access
  56. Урок 56. 00:04:12
    Skills In Action
  57. Урок 57. 00:00:21
    Skill Authoring
  58. Урок 58. 00:02:33
    Metadata
  59. Урок 59. 00:01:47
    Good Context
  60. Урок 60. 00:01:48
    Domain Expertise
  61. Урок 61. 00:01:52
    New Capabilities
  62. Урок 62. 00:11:34
    Repeatable Workflows
  63. Урок 63. 00:01:47
    Interoperability
  64. Урок 64. 00:01:14
    Finding Pre-Existing Skills
  65. Урок 65. 00:01:39
    Skills Project
  66. Урок 66. 00:01:11
    Code Generation Workflows Implementation
  67. Урок 67. 00:02:42
    Task Decomposition
  68. Урок 68. 00:03:01
    Rules
  69. Урок 69. 00:03:45
    Code Constraints (Types, Tests, and Patterns)
  70. Урок 70. 00:03:52
    The Model Context Protocol
  71. Урок 71. 00:02:13
    Agent Skills
  72. Урок 72. 00:03:38
    Agent Orchestration
  73. Урок 73. 00:01:50
    Code Generation Workflows Integration
  74. Урок 74. 00:05:31
    Human-In-The-Loop
  75. Урок 75. 00:04:09
    AI-Assisted Debugging
  76. Урок 76. 00:04:55
    Iterative Refinement and Not Breaking What's Working
  77. Урок 77. 00:04:29
    Team Collaboration When AI is a Team Member
  78. Урок 78. 00:02:50
    Quality Control
  79. Урок 79. 00:02:59
    Established Patterns
  80. Урок 80. 00:02:11
    Explainability
  81. Урок 81. 00:05:10
    Systems Integration
  82. Урок 82. 00:02:26
    Edge Cases
  83. Урок 83. 00:03:25
    Performance
  84. Урок 84. 00:01:06
    AI Pitfalls and How to Manage Them
  85. Урок 85. 00:05:10
    Hallucinations
  86. Урок 86. 00:03:44
    A Lack of Training Data (i.e. New Things)
  87. Урок 87. 00:04:02
    The Echo Chamber Effect
  88. Урок 88. 00:04:24
    Cognitive Load
  89. Урок 89. 00:04:23
    A Stranger to Your Codebase
  90. Урок 90. 00:03:14
    Maintainability
  91. Урок 91. 00:02:25
    Context Switching
  92. Урок 92. 00:03:36
    Cognitive Laziness and Maintaining Your Skill
  93. Урок 93. 00:02:56
    Losing The Joy of Coding
  94. Урок 94. 00:03:25
    Don't Imitate, Understand
  95. Урок 95. 00:01:28
    Practical Tooling
  96. Урок 96. 00:03:39
    IDEs and Completions
  97. Урок 97. 00:02:24
    Conversations
  98. Урок 98. 00:02:29
    Agents and Iteration
  99. Урок 99. 00:02:17
    Hype and Selecting Tools
  100. Урок 100. 00:00:58
    Capstone Project
  101. Урок 101. 00:00:32
    Plan
  102. Урок 102. 00:00:22
    Implement
  103. Урок 103. 00:00:32
    Integrate
  104. Урок 104. 00:00:23
    Quality Control
  105. Урок 105. 00:00:55
    Conclusion