• Magic is Bad

  • 2024/10/16
  • 再生時間: 42 分
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  • The Dangers of Magic in Software Abstractions

    In this episode of the Agile Embedded Podcast, hosts Jeff Gable and Luca Ingianni discuss the pitfalls of relying on 'magic' in software development, particularly in tooling, build systems, and frameworks. They illuminate how seemingly helpful abstractions can become burdensome when they obscure necessary complexities or become hard to debug. Through various examples, including comparisons of Arduino and CMake, they explore what makes a good abstraction versus a bad one. The conversation also delves into the importance of composability, testability, and the real-world impact of overly simplistic or 'magical' solutions in long-term projects. The episode wraps up with practical advice for selecting and designing more effective coding abstractions to mitigate risks.

    00:00 Introduction and Episode Theme
    00:19 The Problem with Magic in Programming
    02:54 Examples of Good and Bad Abstractions
    04:45 Frameworks and Tools: Arduino vs. CMake
    08:10 Vendor-Supplied Tools and Their Pitfalls
    13:05 Characteristics of Good Abstractions
    29:04 Testing and Abstractions
    37:10 Final Thoughts and Contact Information

    You can find Jeff at https://jeffgable.com.
    You can find Luca at https://luca.engineer.

    Want to join the agile Embedded Slack? Click here

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あらすじ・解説

The Dangers of Magic in Software Abstractions

In this episode of the Agile Embedded Podcast, hosts Jeff Gable and Luca Ingianni discuss the pitfalls of relying on 'magic' in software development, particularly in tooling, build systems, and frameworks. They illuminate how seemingly helpful abstractions can become burdensome when they obscure necessary complexities or become hard to debug. Through various examples, including comparisons of Arduino and CMake, they explore what makes a good abstraction versus a bad one. The conversation also delves into the importance of composability, testability, and the real-world impact of overly simplistic or 'magical' solutions in long-term projects. The episode wraps up with practical advice for selecting and designing more effective coding abstractions to mitigate risks.

00:00 Introduction and Episode Theme
00:19 The Problem with Magic in Programming
02:54 Examples of Good and Bad Abstractions
04:45 Frameworks and Tools: Arduino vs. CMake
08:10 Vendor-Supplied Tools and Their Pitfalls
13:05 Characteristics of Good Abstractions
29:04 Testing and Abstractions
37:10 Final Thoughts and Contact Information

You can find Jeff at https://jeffgable.com.
You can find Luca at https://luca.engineer.

Want to join the agile Embedded Slack? Click here

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