Nine coding harnesses vs. your laptop

toasty228•32 minutes ago

A bit off topic because I'm not using local models, but I recently benchmarked codex vs pi vs omp with my workload and found codex to be both faster and more token efficient than pi/omp. There was not a single case for which pi was faster/cheaper

OleksandrC•about 1 hour ago

If you're looking for a coding agent that would fit nicely into resource-constrained environments (such as laptops, or tiny VPS servers, or tiny single-board computers, etc), and would also work great with local models - you might also like hax (https://usehax.dev/). 0.7 MB dynamically linked native C binary, few MBs of RAM usage when running, auto-discovers config from running local llama-server, and uses minimalist system prompt and tools for lean context usage.

mischief6•36 minutes ago

ive looked at your project before but forgot about it. I think mine is in a similar vein: https://github.com/mischief/clm

it grew out of annoyance of dependencies on js runtimes, probably similar to you. mine additionally works on solaris and esp32.

could be interesting to collaborate!

tontinton•about 1 hour ago

I've made https://maki.sh for use cases such as this

alex_john_m•about 2 hours ago

What is this supposed to mean?

"it spreads up to 50% between nights, so nothing between the lean arms is a finding."

entrope•about 2 hours ago

The same thing as the last word of "That is the difference between 22 and 226 seconds, measured." Techies I know would mostly omit "measured"; the rest would show, not tell.

stavros•about 1 hour ago

Means Claude can't write for shit.

teekert•about 2 hours ago

Fun reference I tested on 32 GB ram laptop with no extra GPU: llama.cpp: “what is ls”, almost immediate starts answering at one ~word/sec. Ask opencode with same model (some gwen e4b or something) to check what’s in its working directory: 20 min to response.

throwa356262•about 1 hour ago

Opencode system prompt contains a lot of stuff but even worse is oh-my-pi where their long prompt looks like random garbage hallucinated by a 2023 LLM:

https://m.youtube.com/watch?v=c_fQoDkULl0 (see around 8:00)

montyanne•about 2 hours ago

Neat article.

“Chad” initially looked interesting but the minute I saw the ai-written markdown and giant commit I just left. I just can’t bring myself to read someone elses’ slop, regardless of performance.

If all a developer hand writes is a truthy and readable markdown document, I really don’t care if the rest of the project is vibe coded, but I struggle to get interested in AI generated summaries and docs.

CGamesPlay•about 2 hours ago

I for one am excited to learn more about how it spreads up to 50% between nights, and how nothing between the lean arms is a finding.

NooneAtAll3•about 1 hour ago

wtf is wrong with scrolling on that website?

Nine coding harnesses vs. your laptop

⚡ Community Insights

Discussion (12 Comments)Read Original on HackerNews