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  1. Урок 1. 00:02:10
    Welcome To The Course!
  2. Урок 2. 00:01:57
    Course Overview: What You'll Learn & Achieve
  3. Урок 3. 00:01:48
    Course Focus: AI Programming Tools & Beyond
  4. Урок 4. 00:02:20
    Understanding AI: Limitations, Costs & Unpredictability
  5. Урок 5. 00:01:31
    GitHub Copilot: AI Code Completion For Developers
  6. Урок 6. 00:03:01
    Introducing GitHub Copilot
  7. Урок 7. 00:03:42
    Installing & Setting Up GitHub Copilot
  8. Урок 8. 00:05:36
    Using AI Powered Code Suggestions To Write Code
  9. Урок 9. 00:05:00
    Mastering Prompts: Using Comments To Guide Github Copilot's AI
  10. Урок 10. 00:10:55
    Writing A Full Python Script With Suggestions
  11. Урок 11. 00:05:24
    Using The Inline Chat Feature To Add Error Handling
  12. Урок 12. 00:02:07
    Configuring the Chat: Tips For Efficient Use
  13. Урок 13. 00:02:12
    Taking Advantage of "Code Actions"
  14. Урок 14. 00:05:03
    Exploring The Sidebar Chat For More Complex Tasks
  15. Урок 15. 00:04:29
    Adding Context: Using References & Shortcuts For Smarter Code Creation
  16. Урок 16. 00:04:34
    Adding Additional Participants For Enhanced Sidebar Chat Context
  17. Урок 17. 00:04:01
    Running Terminal Commands Efficiently With AI
  18. Урок 18. 00:03:39
    Master GitHub Copilot Slash Commands: Explain, Fix & More
  19. Урок 19. 00:03:15
    Multi-File Edits with "Copilot Edits"
  20. Урок 20. 00:02:15
    Automating Unit Test Generation For Selected Code Sections
  21. Урок 21. 00:01:59
    Creating New Projects With The /new Command
  22. Урок 22. 00:03:49
    Prompt Engineering Essentials: Guidelines & Best Practices
  23. Урок 23. 00:06:07
    How Being Specific & Adding Context Improves AI Code Generation Efficiency
  24. Урок 24. 00:07:07
    Validating Input With GitHub Copilot Sidebar Chat
  25. Урок 25. 00:03:18
    Effective Iteration: Balancing AI & Manual Coding
  26. Урок 26. 00:02:49
    GitHub Copilot Extensions
  27. Урок 27. 00:01:15
    Introducing Cursor AI
  28. Урок 28. 00:04:42
    What Is Cursor & How It Enhances Developer Productivity
  29. Урок 29. 00:01:32
    Prerequisites For Using Cursor: What You Need To Know
  30. Урок 30. 00:03:08
    Getting Started With Cursor’s Auto-Suggestions
  31. Урок 31. 00:02:57
    Smart & Predictive Code Completion With Cursor: Writing Code Faster With Tab
  32. Урок 32. 00:02:40
    Fixing Code On The Fly With Cursor's AI-Powered Suggestions
  33. Урок 33. 00:02:42
    Using Comments As Prompts To Guide Cursor’s Code Generation
  34. Урок 34. 00:01:58
    Debugging Errors In The Terminal
  35. Урок 35. 00:02:19
    Understanding Cursor's Inline Chat Feature
  36. Урок 36. 00:03:20
    Leveraging The Docs Integration For Better Code Generation
  37. Урок 37. 00:01:10
    Generating Terminal Commands With The Inline-Chat
  38. Урок 38. 00:01:30
    Explaining Selected Code Snippets With The Quick Question Mode
  39. Урок 39. 00:04:31
    Enhancing The Workflow With The External Sidebar Chat Window
  40. Урок 40. 00:08:06
    Editing Multiple Files & Performing More Complex Edits With Cursor Composer Mode
  41. Урок 41. 00:00:54
    Cursor AI Features Round-Up: Tests, Code Fixes & More
  42. Урок 42. 00:01:42
    Introduction To External AI Services
  43. Урок 43. 00:02:28
    How To NOT Use ChatGPT As A Developer
  44. Урок 44. 00:03:17
    Planning Applications With ChatGPT
  45. Урок 45. 00:01:53
    Researching Development Solutions With External AI Services
  46. Урок 46. 00:03:02
    Using AI For Asset Generation
  47. Урок 47. 00:01:47
    Prompt Engineering: Key Techniques
  48. Урок 48. 00:00:47
    Section Round Up: When To Use External AI Services In Development
  49. Урок 49. 00:02:42
    A Full Demo Project: Overview
  50. Урок 50. 00:02:14
    The REST API: Application Requirements Overview
  51. Урок 51. 00:05:55
    Planning the Application Structure with ChatGPT
  52. Урок 52. 00:05:35
    Setting Up the Project in Cursor AI
  53. Урок 53. 00:04:15
    Writing User Registration & Login Code with Cursor Composer
  54. Урок 54. 00:07:15
    Providing Follow-Up Feedback To Cursor Composer
  55. Урок 55. 00:07:30
    Connecting to A SQLite Database with Cursor's Sidebar Chat
  56. Урок 56. 00:02:29
    Tweaking AI-Generated Code
  57. Урок 57. 00:05:17
    Using Inline Chat For Editing Validation Code
  58. Урок 58. 00:04:26
    Testing the REST API With Postman
  59. Урок 59. 00:07:29
    Encrypting User Passwords With bcryptjs
  60. Урок 60. 00:05:09
    Debugging the App With The AI Chat
  61. Урок 61. 00:07:24
    Adding Authentication with JSON Web Tokens
  62. Урок 62. 00:03:02
    Adding Event Specific Routes With GitHub Copilot Inline Chat
  63. Урок 63. 00:04:26
    Creating, Editing & Deleting Events With Copilot's Sidebar Chat
  64. Урок 64. 00:04:37
    Creating & Exporting Reusable Functions For Event Management
  65. Урок 65. 00:03:03
    Testing & Debugging The App
  66. Урок 66. 00:04:02
    Implementing & Testing Validation With The Inline Chat
  67. Урок 67. 00:03:26
    Protecting Event Routes With User Authentication
  68. Урок 68. 00:06:24
    Testing Authentication
  69. Урок 69. 00:07:26
    Adding Role Based Authorization To The Update & Delete Routes
  70. Урок 70. 00:02:39
    Testing Authorization
  71. Урок 71. 00:03:55
    Adding POST Routes with Suggestions For Registering & Unregistering Events
  72. Урок 72. 00:05:11
    Testing & Fixing Event Registration & Unregistration
  73. Урок 73. 00:09:09
    Integrating Image Upload Functionality With The Multer Package
  74. Урок 74. 00:06:00
    Finishing & Testing The Image Upload Feature
  75. Урок 75. 00:03:44
    Adding Frontend Applications To The REST API with the CORS Package
  76. Урок 76. 00:02:52
    Conclusion & Next Steps