Overview of debugging and testing with AI

Contents

• 1. Foundation 1. Foundation

  • Introduction

    28s
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    Why AI debugging is useful

    4m 56s
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    Challenges with AI output

    4m 2s
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    Exploring the project

    3m 11s
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    Conclusion

    38s
• 2. Understanding the Codebase 2. Understanding the Codebase

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    Introduction

    35s
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    Overview of issues to fix

    2m 57s
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    Architecture of the project

    3m 15s
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    Documentation for debugging

    4m 26s
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    Conclusion

    43s
• 3. Testing and Debugging 3. Testing and Debugging

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    Introduction

    38s
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    The importance of testing

    3m 8s
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    Easier debugging with tests

    5m 57s
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    Simple fixing with testing

    5m 32s
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    Defining a bug with a test

    5m 18s
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    Conclusion

    36s
• 4. Contextual Debugging 4. Contextual Debugging

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    Introduction

    1m 14s
  • Gathering context for debugging

    5m 58s
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    Finding direction with context

    5m 7s
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    Helping AI with logging

    2m 30s
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    Conclusion

    50s
• 5. Advanced Debugging Techniques 5. Advanced Debugging Techniques

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    Introduction

    36s
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    Exploring potential unknown bugs

    2m 52s
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    Overview of debugging and testing with AI

    2m 58s
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    Course conclusion

    1m 33s