gengstrand

16 ms·

1.
by gengstrand 2mo ago
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. We offer strategy advice, pla
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by gengstrand 4mo ago
For me, CQL will always mean Cassandra Query Language https://cassandra.apache.org/doc/4.0/cassandra/cql/
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by gengstrand 5mo ago
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?
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by gengstrand 6mo ago
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 Dev-On-Call to your pagerduty schedule. If you are in an
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by gengstrand 7mo ago
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 most for me was the "Finding Your Threshold" section
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by gengstrand 7mo ago
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 landing page. https://www.higherscoresdfs.com&#x2
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by gengstrand 7mo ago
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 of fatigue that have been increased with the adoption
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by gengstrand 8mo ago
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. Having a dev on call reduces time to restore service because the
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Ask HN: Will agentic AI grow to handle technology leadership responsibilities?
4 points by gengstrand 8mo ago|1 comments
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by gengstrand 10mo ago
Using AI to predict professional sports outcomes. https://www.exploravention.com/products/sports/
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by gengstrand 11mo ago
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 information architecture. What is the difference betw
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by gengstrand 11mo ago
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 code (e.g. unit tests) that used annotation (a.k.a. decorat
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by gengstrand 1y ago
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 before they can suitably lead that
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by gengstrand 1y ago
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 want quality answers, you still ne
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by gengstrand 1y ago
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/
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by gengstrand 1y ago
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 online mass media, HN covers
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by gengstrand 1y ago
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 https://www.exploravention.com/blogs/m
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by gengstrand 1y ago
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/csharp/kotlin for my description
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by gengstrand 1y ago
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 from both code and documentation wi
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by gengstrand 1y ago
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 findings which I have blogged about at https:/&#x
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by gengstrand 1y ago
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 offer a community edition of t
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by gengstrand 1y ago
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 reduction) of complex systems. To that end, I recently laun
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by gengstrand 1y ago
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 fatigue. One of the lines
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Show HN: Ask the Software Architect(exploravention.com)
2 points by gengstrand 1y ago|0 comments
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by gengstrand 2y ago
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 that experiment at https://www.infoq.com/arti
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by gengstrand 2y ago
Has anyone here tried out https://github.com/freeedcom/ai-codereviewer which I suspect is something similar only in GHA form?
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by gengstrand 2y ago
This piece reminds me of something I did earlier this year https://www.infoq.com/articles/llm-productivity-experiment/ where I conducted an experiment across several LLMs but it was a one-shot prompt about generat
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by gengstrand 2y ago
Interesting blog. It seems to be a compendium of advice for all kinds of folks ranging from end user to integration partner. For a slightly different take on how to use LLMs to build software, you might be interested in https://w
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Experimenting with LLMs for Developer Productivity(infoq.com)
1 points by gengstrand 2y ago|0 comments
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by gengstrand 3y ago
Whatever happened to ring or donkey?

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