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Why I Quit Copilot | Prime Reacts

ThePrimeTime・37 minutes read

The speaker stopped using co-pilot and reflects on the impact on coding skills and creativity, emphasizing the importance of maintaining a balance between efficiency and skill development. They highlight privacy concerns and plan to explore self-hosted open-source models due to the potential impact on user privacy.

Insights

  • Avoiding reliance on AI-generated suggestions like co-pilot can lead to a more enjoyable coding experience and help in reclaiming and preserving one's coding skills and creativity.
  • Privacy concerns surrounding co-pilot, particularly regarding data storage and user privacy, have led some individuals to uninstall the tool in favor of exploring self-hosted open-source alternatives.

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Recent questions

  • Why did the speaker stop using co-pilot?

    Forgot to sign in after new computer setup.

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Summary

00:00

"Reclaiming Coding Skills: The Co-Pilot Dilemma"

  • The speaker has recently stopped using co-pilot and is sharing the reasons behind this decision.
  • They forgot to sign in to co-pilot after getting a new computer and redoing their neovim configuration.
  • Both their editor and code have been co-pilot free for about a month, with no intention of going back.
  • The speaker discusses the importance of actively using skills to avoid losing them over time.
  • They reflect on how using co-pilot affected the way they write code, leading to a reliance on AI-generated suggestions.
  • The speaker found that writing code without co-pilot initially felt challenging but eventually led to a more enjoyable coding experience.
  • By not using co-pilot, the speaker feels they are reclaiming their coding skills and the joy of writing code.
  • They express that using co-pilot can hinder creativity and problem-solving in coding.
  • The speaker acknowledges the productivity benefits of co-pilot but emphasizes the importance of not letting it dictate ideas or code generation.
  • They highlight the need to maintain a balance between using co-pilot for efficiency and preserving one's creativity and coding skills.

12:51

"Co-pilots boost developer satisfaction and learning"

  • Github's study showed that co-pilots improved developer satisfaction by 60-75%.
  • Co-pilots benefit those who struggle with programming basics.
  • Frustration in coding often stems from challenging bugs, not writing code.
  • TikTok fosters learned helplessness, favoring copilot over skill development.
  • Self-reporting surveys on coding satisfaction may be biased.
  • Co-pilot users may feel less enjoyment due to missing out on essential learning experiences.
  • Enjoyment is crucial for skill development in any field.
  • Brilliant.org offers interactive courses in computer science, math, and data science.
  • Co-pilot quality may suffer when users rely too heavily on its suggestions.
  • Co-pilot's training data may become outdated, leading to inaccurate suggestions.

26:09

AI Code Quality Issues and Privacy Concerns

  • Research indicates that AI-generated code often requires rewriting due to quality issues.
  • The speed at which code changes are occurring has significantly increased over the past five years.
  • Co-pilot has been effective in generating boilerplate code and is particularly useful for writing tests.
  • Providing detailed information to Co-pilot enhances its performance in generating precise code.
  • Co-pilot's privacy concerns stem from sending code snippets to a remote server, especially on the individual plan.
  • The author has uninstalled Co-pilot due to privacy concerns and plans to explore self-hosted open-source models.
  • The debate over Co-pilot's privacy concerns revolves around the extent of data stored and its impact on user privacy.
  • The author reflects on the nostalgia of simpler coding eras and the potential disillusionment with the current AI-driven coding landscape.
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