Hacker News: redmalang

New comment by redmalang in "Tailscale SSH: Investigation and remediation update"

redmalang — Wed, 28 Oct 2026 05:17:39 +0000

vaguely related - I want to make it easy for the llms to deploy and manage derp,tailgate etc with the hard requirement that you can continue to use the tailscale clients (very thankful to tailscale for making this so easy!):

https://tailgate.latchlabs.dev

Show HN: Tailgate – easy self hosted Tailscale

redmalang — Mon, 19 Oct 2026 10:30:41 +0000

Article URL: https://tailgate.latchlabs.dev/

Comments URL: https://news.ycombinator.com/item?id=50150655

Points: 1

# Comments: 1

New comment by redmalang in "If you don't run your own LLM proxy, how do you know whats going on?"

redmalang — Mon, 19 Oct 2026 09:27:01 +0000

we use it to assign cost/project level analytics which is actually quite useful!

New comment by redmalang in "If you don't run your own LLM proxy, how do you know whats going on?"

redmalang — Mon, 19 Oct 2026 09:04:10 +0000

For a lot of large scale day to day work, deepseek / zai models (the latter comes with a subscription) can be very cost effective and very competitive actually.

Another thing of note is that when coding at 'scale' to my surprise over time with memory aggregation across users/sessions these models can be better than the evals would have you believe because they seem to be differently/less (?) RL'ed (aka actually listen to instructions), which results in them being more fastidious about writing memories and benefiting from them, especially over time. These are of course mostly subjective opinions but they were surprising, and not what we were expecting.

Relevant: the proxy we wrote and use: https://yapp.latchlabs.dev is partially open sourced: still working on releasing more of our memories stuff.

New comment by redmalang in "Pi 1.0"

redmalang — Fri, 02 Oct 2026 01:19:15 +0000

For the past several (months now!) I have been slowly working to open source a proxy we built for pi internally. Its been super helpful for us, helping us centralise session logging, hook and model insights as people work on stuff. There is a bunch of other interesting things (such as runtime model evals) we now adding. If this would be of interest -- open source of course -- please drop me a note here, it will incentivise me to finally extricate it from our broader system:

Slopsite here: https://piproxy.latchlabs.dev

New comment by redmalang in "Benchmarking coding agents on Databricks' multi-million line codebase"

redmalang — Thu, 09 Jul 2026 11:00:22 +0000

This is in fact what we do (with higher order abstractions now built on top of this). This builds self evolving interactive knowledge base and puts it into a QMD searchable index. The indexer is already open source: https://github.com/jibs/duffel

New comment by redmalang in "Benchmarking coding agents on Databricks' multi-million line codebase"

redmalang — Thu, 09 Jul 2026 09:39:09 +0000

Aside 2: Anecdotally we found that Pi performs more or less on par with native harnesses at lower cost on decently specified prompts. It is also phenomenal at context cacheing especially on Deepseek models (its hard to precisely attribute credit here are my understanding is this is a DS speciality). But it fails much worse on poorly drafted prompts. I'm generalising but native harnesses seem to be better kind of flailing along on those.

New comment by redmalang in "Benchmarking coding agents on Databricks' multi-million line codebase"

redmalang — Thu, 09 Jul 2026 07:00:00 +0000

Yeah.

New comment by redmalang in "Benchmarking coding agents on Databricks' multi-million line codebase"

redmalang — Thu, 09 Jul 2026 04:35:32 +0000

We have an internal proxy (that I've been meaning to open source for ages) that routes all llm usage at our company, which allows us to see data in realtime. Its been fascinating how rapidly Pi has been adopted. Moreover since its pretty hackable, we've been able to automatically aggregate context from pi sessions, which has resulted in Pi efficacy being higher as more people use it, putting in place a interesting virtuous loop. I didn't expect this outcome: for whatever reason I assumed proprietary harnesses fine tuned to work with a companies' models would work better? ps/random aside: there is something slightly off about Pi's edit command, we are planning to investigate this further and patch this as we have quite a few session traces now..

New comment by redmalang in "GLM-5.2 is a step change for open agents"

redmalang — Fri, 26 Jun 2026 10:25:40 +0000

We have switched approx 80% of our work to deepseek, and it works great. Our setup is a bit unconventional though, we upload all cot / sessions to shared storage and generate centralised project level context. We've found this is helpful in directing and working with these slightly less sota models and getting great value for ai spend.

I'm planning to open source all this infra soon, hopefully useful for others too.

New comment by redmalang in "Running local models is good now"

redmalang — Tue, 16 Jun 2026 18:00:33 +0000

Try llama.cpp it seems to be a lot more performant and a lot more hackable. Also I'm surprised how substantial the impact of some of the inference configs (beyond just temp) can have, though this is much more model specific.

New comment by redmalang in "Ollama is now powered by MLX on Apple Silicon in preview"

redmalang — Tue, 31 Mar 2026 07:04:47 +0000

i've found llama.cpp (as i understand it, ollama now uses their own version of this) to work much better in practice, faster and much more flexible.

Show HN: Duffel – search centric LLM friendly workspace

redmalang — Mon, 02 Mar 2026 14:38:18 +0000

Duffel is a local-network markdown workspace for human + LLM collaboration.

It provides Web UI for browsing and editing notes & Lightweight CLI for search-first retrieval (using qmd).

I've found it to be very helpful for projects that require agents to have a lot of data in certain situations and they are actually quite fastidious about recording learnings and keeping everything tidy.

Comments URL: https://news.ycombinator.com/item?id=47218503

Points: 2

# Comments: 0

New comment by redmalang in "Show HN: I'm making an open-source platform for learning Japanese"

redmalang — Sun, 07 Sep 2025 15:47:55 +0000

Anybody aware of anything like this for mandarin ?

New comment by redmalang in "The infrastructure behind ATMs"

redmalang — Tue, 03 Jan 2023 06:02:23 +0000

In the UK at least, afaik the Consumer Credit Act applies to Credit Card purchases.

IANAL etc.

New comment by redmalang in "Borges: Recommendations from a life of lectures and essays"

redmalang — Wed, 30 Nov 2022 20:42:37 +0000

I love these lectures, his sonorous, lilting voice and surprisingly acute comedic timing, like a native english speaker. Never never quite realised it until you put it down like that, just how he weaves a whole cloth out of these cross cultural threads.

If there are any other hidden gems, these dialogues for example, please do share!

New comment by redmalang in "Borges: Recommendations from a life of lectures and essays"

redmalang — Tue, 29 Nov 2022 21:07:54 +0000

These lectures by Borges are seriously under-appreciated: https://www.youtube.com/watch?v=YSLV7t9DvN8

The fact that Borges was, apparently at this point blind and doing these lectures essentially from memory is just mind boggling to me.

New comment by redmalang in "Matt Levine makes sense of Wall Street like none other"

redmalang — Fri, 09 Oct 2020 12:22:16 +0000

Thank you :)

New comment by redmalang in "Matt Levine makes sense of Wall Street like none other"

redmalang — Fri, 09 Oct 2020 12:21:42 +0000

Thank you :)

New comment by redmalang in "Matt Levine makes sense of Wall Street like none other"

redmalang — Fri, 09 Oct 2020 12:00:47 +0000

I really enjoy his writing, which is why I really want to know what this might be:

"Asked about the Etruscans, Mr. Levine said he thought Mr. Mystal might be referring to one of his favorite anecdotes from Herodotus. It was actually about the Persians, he said. He fetched his copy of “The Histories” and read it to me.)"