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gengstrand

HN member
Joined
Fri, Oct 24, 2008, 8:25 PM UTC
HN karma
157
Public activity
214 items

About gengstrand

Advising 12 factor cloud native architectures with less complexity and more scalability for improved performance, lower cloud bills, lower maintenance costs, faster time to market, and more secure.

Current interests include AI (both predictive and generative), distributed consensus, and open source.

Currently exploring how LLMs can enhance and augment the developer experience.

You can contact me at media at glennengstrand.info

Recent public activity

  1. comment
    Comment #48891829

    I am currently focused on an educational site https://www.higherscoresdfs.com/dfs/spa/welcome/ that helps Daily Fantasy Sports fans improve their DraftKings and FanDuel gameplay. W…

  2. comment
    Comment #48373516

    For me, CQL will always mean Cassandra Query Language https://cassandra.apache.org/doc/4.0/cassandra/cql/

  3. comment
    Comment #47727022

    From the article. The French government did not provide a specific timeline for the switchover, or which distributions it was considering. Got to be Mandrake right?

  4. comment
    Comment #47533663

    If only the AI understands your code, then vendor lock-in and exposure to price hikes will be the least of your problems. I don't think that you will be able to add Claude as the D…

  5. comment
    Comment #47197888

    Thanks for writing this blog. Others are also starting to notice these impacts and writing about them. I believe that it is important for more voices to be heard. What resonated mo…

  6. comment
    Comment #46947724

    I am working on an app that uses old-school predictive AI (i.e. pytorch and scikit-learn) to predict professional sports outcomes in a way that is useful for DFS fans. Here is the …

  7. comment
    Comment #46935690

    That's a type of fatigue that is not new but I hear you, context switching fatigue has increased ten fold with the introduction of agentic AI coding tools. Here are some more types…

  8. comment
    Comment #46838068

    Good question. Several reasons. 1. Since the same AI writes both the code and the unit tests, it stands to reason that both could be influenced by the same hallucinations. 2. Havin…

  9. story
    Ask HN: Will agentic AI grow to handle technology leadership responsibilities?

    I think it is now pretty clear what impact agentic AI has on coders. I am curious how technology leaders (e.g., software architects, staff engineers, senior developers, team leads)…

  10. comment
    Comment #45877216

    Using AI to predict professional sports outcomes. https://www.exploravention.com/products/sports/

  11. comment
    Comment #45712728

    How are these libraries curated? I ask because Clojure Land includes Donkey https://clojure.land/?q=donkey which was abandoned a couple of years ago. Not sure about your informatio…

  12. comment
    Comment #45529693

    The conversation here seems to be more focused on coding from scratch. What I have noticed when I was looking at this last year was that LLMs were bad at enhancing already existing…

  13. comment
    Comment #45464147

    I used a graph database in https://www.exploravention.com/products/askarch/ because software architects typically need to understand the dependencies of a complex software system b…

  14. comment
    Comment #45455847

    I agree. Permit me to rephrase. From this learning adventure https://www.infoq.com/articles/architecting-rag-pipeline/ I came to understand what many now call context rot. If you w…

  15. comment
    Comment #45451701

    Location: Bay Area of California Remote: yes Willing to relocate: no Technologies: https://www.exploravention.com/services/ Résumé/CV: https://www.linkedin.com/in/gengstrand/ Email…

  16. comment
    Comment #45427342

    I am currently building a lot of AI models for predicting both individual athlete and team based performance for https://www.higherscoresdfs.com/dfs/spa/welcome/ Like the rest of o…

  17. comment
    Comment #44118506

    It is true that there are significant benefits to monorepo but it comes at a cost. Managing a monorepo is more expensive than polyrepo. For the details behind that claim, check out…

  18. comment
    Comment #44063380

    Kotlin does not lock you in and has not locked you in to IntelliJ. About a year ago, I coded up a Kotlin service using VS Code. See https://glennengstrand.info/software/coding/csha…

  19. comment
    Comment #43823108

    I recently released an AI software architect chat app. https://www.exploravention.com/products/askarch/ It is an interesting discovery journey on extracting relevant information fr…

  20. comment
    Comment #43763677

    I really appreciate the overall gist of this blog and find value in the mech suit vs human replacement analogy. The "near zero time" observation is not consistent with my own findi…

  21. comment
    Comment #43683390

    I recently blogged about the developer experience with server-side Kotlin at https://glennengstrand.info/software/coding/csharp/kotlin so you should know that the IntelliJ folks of…

  22. comment
    Comment #43536728

    I am currently testing the hypothesis that RAG can reduce the likelihood of LLM hallucination when it comes to software architecture (existing or proposed enhancements or tech debt…

  23. comment
    Comment #43507845

    While I was working on this piece about using LLMs to migrate code https://glennengstrand.info/software/llm/migration/java/type... I experienced a first hand encounter of review fa…

  24. story
    Show HN: Ask the Software Architect

    Have you ever wondered what adding that missing feature to your favorite open-source software would take? I want to explore how effective RAG-focused LLMs can be in accurately answ…

  25. comment
    Comment #41964623

    I went with a more clinical approach and used models that were available a half year ago but I also was interested in using LLMs to write unit tests. You can learn the details of t…