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vickiboykis.com

ML Engineering. LLMs 😬. Information retrieval. Infra. Systems. Normcore code. Nutella. Vectors. Words. Vibes. Bad puns (soon). https://vickiboykis.com/what_are_embeddings/

2,465 posts 37,482 followers 890 following

Posts 22 Comments 27

if the cache is so good why don’t they make the whole app out of cache

submitted 19 hours ago • 8 comments

Still thinking about this fantastic post by @vickiboykis.com on the wide-ranging impacts of regularly reading HN. 🧪 It really is one of the most underused resources in tech. Vicki captures it well: it’s “the perfect ambient watercooler to be near senior technically excellent people in the industry”

submitted 5 days ago • 0 comments

scala alt account

submitted 19 days ago • 3 comments

Tech people have laptop stickers of laughing pizza slices and upside down smileys and inside is like the most gnarled async code holding up a distributed system for 10 million users

submitted 23 days ago • 4 comments

If the data is not uniformly distributed on Riemannian manifold I don’t even want to hear it

submitted 39 days ago • 5 comments

👑🐐 news.ycombinator.com/item?id=4389...

submitted 50 days ago • 7 comments

There is a kind of magic that comes from a point in a codebase where you and the other people are in sync and are moving over the same contextual space of the problem area.

submitted 50 days ago • 0 comments

Redis is open source again: antirez.com/news/151

submitted 54 days ago • 7 comments

big QOL lift for me: fun_black_box = get_black_box() fun_black_box: dict[str, list[str]] = get_black_box()

submitted 54 days ago • 2 comments

The more experience I get, the harder it feels to blog with confidence

submitted 56 days ago • 12 comments

if you are using primarily local models, which ones are you using and for what lately?

submitted 58 days ago • 20 comments

I love opening up the next Jira ticket and finding no requirements and then getting real mad at the person who created it (me)

submitted 60 days ago • 3 comments

Yeah decreasing time complexity, flattening code, adding cache, etc etc, but it’s wild how much one well-written log statement can improve the codebase.

submitted 61 days ago • 2 comments

I’ve never regretted writing documentation but I’ve regretted not writing it.

submitted 69 days ago • 7 comments

The slightly concerning/brittle era of LLMs in IR 😅 #ECIR2025

submitted 77 days ago • 1 comment

This is so incredibly cool. Embeddings are lingua franca for so many retrieval/LLM/recommendations use-cases and I really enjoyed working with embeddings in Redis via the search module, can’t wait to try this.

submitted 77 days ago • 4 comments

Love this endler.dev/2025/best-pr...

submitted 78 days ago • 1 comment

Docker is doing local LLMs 👀 www.youtube.com/live/mk_2MIW...

submitted 96 days ago • 4 comments

To experiment with multi-agent systems you either need a clear business case and big budget, or you need to be a jabroni with a high credit limit. I'm just the jabroni for the job, so I taught Claude to play chess, and learned a ton along the way: jfkirk.github.io/posts/claude...

submitted 96 days ago • 7 comments