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    Hazel Weakly

    hazelweakly.me · Personal blog · on HN since 2022

    Hazel Weakly writes about observability, developer tooling, AI tools, scaling Mastodon, and leadership in engineering organizations.

    Visit blogRSSHN submissions
    DevOps & CloudAI & Machine LearningManagement
    What HN says

    HN commenters link her post on building AI tools backwards as a detailed look at AI coding. The given comments say little else about her.

    Stats for nerds
    24HN people shared it
    31linked in comments
    599story points
    Sep 2025last shared

    Top posts on HN

    1. 1
      Building better AI tools
      4 people · 349 points · first shared 2025 · 179 comments on HN
    2. 2
      Pick Your Distributed Poison
      1 person · 104 points · first shared 2024 · 23 comments on HN
    3. 3
      Cache Me Not, Cache Me, Cache Me Not
      1 person · 57 points · first shared 2024 · 21 comments on HN
    4. 4
      Redefining Observability
      1 person · 39 points · first shared 2024 · 21 comments on HN
    5. 5
      Scaling Mastodon: The Compendium
      6 people · 11 points · first shared 2022 · Discussion on HN
    6. 6
      Home Baked Abstractions, Store Bought Implementations
      3 people · 8 points · first shared 2024 · Discussion on HN
    7. 7
      So You Want to Hire for Developer Tooling
      4 people · 7 points · first shared 2023 · 1 comments on HN
    8. 8
      Why Is Browser Observability Hard – Hazel Weakly
      2 people · 6 points · first shared 2024 · Discussion on HN
    9. 9
      Observability 3.0
      2 people · 4 points · first shared 2024 · Discussion on HN
    10. 10
      To Be a Leader of Systems
      2 people · 3 points · first shared 2025 · Discussion on HN

    What HN people wrote when they linked it

    • hoshSep 2025

      There is a form of delegation that develops the people involved, so that people can continue to contribute and grow. Each individual can contribute what is unique to them, and grow more capable as they do so. Both people, and the community of those people remain alive, lively, and continue to grow. Some people call this paradigm “regenerative”; only living systems regenerate.

      There is another form of delegation where the work needed to be done is imposed onto another, in order to exploit and extract value. We are trying to do this with LLMs now, but we also did this during the Industrial Revolution, and before that, humanity enslaved each other to get the labor to extract value out of the land. This value extraction leads to degeneration, something that happens when living systems dies.

      While the Industrial Revolution afforded humanity a middle-class, and appeared to distribute the wealth that came about — resulting in better standards of living — it came along with numerous ills that as a society, we still have not really figured out.

      I think that, collectively, we figure that the LLMs can do the things no one wants to do, and so _everyone_ can enjoy a better standard of living. I think doing it this way, though, leads to a life without purpose or meaning. I am not at all convinced that LLMs are going to give us back that time … not unless we figure out how to develop AIs that help grow humans instead of replacing them.

      The following article is an example of what I mean…

    • JoshTriplettJun 2025

      Exactly. See also https://hazelweakly.me/blog/stop-building-ai-tools-backwards/ for a detailed look at this aspect of AI coding.

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