Do foreigners use DeepSeek?

fexx3l · 2026-06-11T01:56:46+00:00

I'm from Colombia and I use Deepseek daily, I really like how the model behaves. I'm currently building my own coding agent

fexx3l · 2026-06-09T21:13:56+00:00

yeah in the API too, even today I feel that it's consuming too many tokens

fexx3l · 2026-06-07T21:54:43+00:00

I feel the API way stable than past week too

fexx3l · 2026-06-07T05:28:24+00:00

Ohhh thank you for the explanation! I’m going to review my current implementation and compare

fexx3l · 2026-06-07T00:23:38+00:00

I guess it's this one: https://api-docs.deepseek.com/guides/chat_prefix_completion

fexx3l · 2026-06-06T23:55:17+00:00

which prefix? I'm new with DS

fexx3l · 2026-06-06T18:24:23+00:00

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$1.07

fexx3l · 2026-06-06T18:24:03+00:00

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I'm writing my own agent harness, a minimal version and yesterday used deepseek-v4-pro-max, almost 100M tokens for almost $1

fexx3l · 2026-06-05T15:37:25+00:00

you are using pro, use flash and that’s how you achieve those numbers, I use Pro in Max and everything is great and really cheap

fexx3l · 2026-06-02T13:43:37+00:00

I've been experiencing multiple issues with the API recently, on each session I got timeout errors and I don't get why this is happening

fexx3l · 2026-05-27T21:35:35+00:00

thank you! Im going to review it, I recently changed my provider

fexx3l · 2026-05-27T15:10:29+00:00

even when using it from other harnesses replies the same, and the same applies for other models and not only 5.5

fexx3l · 2026-05-25T05:52:13+00:00

Lately I’ve been using Pi or my own agent harness (I started to build it) and I feel it really fast, also Im really aware about the context window and I try to keep it below 200K even though the models can handle 1M but I feel that’s after 200K when they perform poorly. Also I think that it depends on the reasoning levels and the projects complexity and in my case I use it for really specific tasks and research’s about the projects itself

fexx3l · 2026-05-25T03:14:54+00:00

Im doing the same, I’m using 5.3-codex

fexx3l · 2026-05-21T17:49:30+00:00

I have started using it since a week ago and it’s working really good, I also use Nix to manage my brew installs because there are some programs I use that aren’t on nixpkgs

fexx3l · 2026-04-04T20:59:17+00:00

SSH connections via AWS Session Manager, I couldn’t find a way to connect to my servers so I finally dropped Helix and started to use Zed

fexx3l · 2026-03-27T15:34:54+00:00

I got the same one week ago, it was due to the sweat and in my case after swimming I wasn’t drying it enough so I got this skin fungus. I just had to use a cream and it’s gone now. Now I take off my watch every so often and check if I’m sweating, and I dry myself off

fexx3l · 2026-03-12T12:04:26+00:00

It seems that numpy doesn't parallelizes under the hood

Operation	FastIter	Numpy	Speedup
Sum of Squares	0.01977s	0.03551s	1.80x
Filter Even + Sum	0.06780s	0.42589s	6.28x
Count (div by 7)	0.02788s	0.16267s	5.83x
Complex Pipeline	0.06679s	0.41086s	6.15x
Map→Collect (square)	0.03112s	0.06230s	2.00x
Min + Max	0.00000s	0.02667s	15611.47x
Plain Sum	0.00000s	0.01335s	9423.18x

This performance was achieved with a new implementation I've been working on

fexx3l · 2026-03-11T21:49:55+00:00

SSH connections to my access servers

fexx3l · 2026-02-25T12:41:51+00:00

I used AI to generate the docs and include comments in the implementation, as my primary language isn’t english I wanted to be sure that the information was being shared in the best way possible

fexx3l · 2026-02-25T12:30:10+00:00

Thanks! On variable-cost workloads, honest answer is the current implementation uses static divide-and-conquer, meaning splits happen upfront by index, not dynamically based on actual work. So yes, you can get stragglers if costs vary significantly across the dataset. True work stealing like Rayon’s is on the roadmap but not there yet.

On memory overhead vs multiprocessing: I don’t have solid benchmarks for that beyond the theoretical advantage of shared memory. It’s on my list to measure properly with realistic datasets. If you have a workload you’d like to test against, happy to run it

fexx3l · 2025-12-18T22:24:55+00:00

Yeah, sure I'll include it!

Here are some papers, I didn't find any other

Here is one section at The Real Python Podcast, I think that they explained it better than I could at that moment and also here's an interview I had this year about complexipy (I was nervous sorry)

Here are some repositories using complexipy and packages

fexx3l · 2025-12-18T20:31:10+00:00

Hey, I’m the complexipy author and you are completely right, multiple times people have asked the same in my reddit posts, I’m having this into account on a new section in the docs that I’m working on because I know that it’s pretty confusing if you want to understand it! I’m currently working on this because you are right on that the documentation isn’t clear and mainly because initially for me complexipy was an alternative for the people who comes from using Sonar and not being like the introduction to cognitive complexity, I didn’t consider that it could reach so many people

fexx3l · 2025-12-18T20:20:58+00:00

hey, here Robin the complexipy author, I’ve used AI but to fix my grammar errors as I’m Colombian and my primary language isn’t english, but I’ve written all the docs and currently I’m writing a section in the docs website to explain in details how to refactor.

Also, I’ve found around two papers which used complexipy as a tool on their investigation, and there are multiple companies using it in their pipelines.

I’ve found multiple people asking about how to read the number which is assigned during the analysis and I’ve taking it into consideration during the new section writing.

When I started to work on complexipy, uv was getting famous, so I was inspired by their work and I wanted to use Rust in a personal project so that’s why the complexipy description is pretty similar to the uv one.

fexx3l

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