OleksandrC

17 ms·

1.
by OleksandrC 6d 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
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by OleksandrC 28d ago
Technically, this would be straightforward. The problem is that Anthropic seems to be really against using Claude subscriptions with anything other than Claude Code - you might even risk your account getting banned for doing so. You could s
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by OleksandrC 28d ago
The obvious reason is that they would prefer to have CLAUDE.md files in every repo (even if it's just a symlink to AGENTS.md). It serves as a free advertisement for them. Same reason as for auto-adding attribution text in commit messag
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by OleksandrC 28d ago
If you like this list of "why?", you might also like this: https://usehax.dev/ (I am the author). Most of the list applies, similar minimalist Unix tool approach, with some differences. Hax is written in C, the dy
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by OleksandrC 28d ago
I am working on my own agent implementation ( https://usehax.dev/ ), and I can praise OpenRouter for being seemingly the only provider endpoint that actually gives proper API for gathering available models and their capabilit
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by OleksandrC 1mo ago
As usual, I suppose :) - by filing bug reports, and opening pull requests.
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by OleksandrC 1mo ago
Generally, the models seem to adapt really well. I am using GPT models in hax a lot, and they have no trouble whatsoever using hax tools instead of their "native" codex tools. Also since hax tools are just "read", "
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by OleksandrC 1mo ago
The main reason to use C is that it's the easiest way to achieve minimal resource footprint. Also it's the language I know really well already. The demo was recorded with asciinema.
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Hax – a minimalist, terminal-native coding agent written in C(usehax.dev)
121 points by OleksandrC 1mo ago|36 comments
10.
by OleksandrC 1mo ago
I will leave this here: https://usehax.dev/ GitHub repo: https://github.com/OleksandrChekhovskyi/hax This is a coding agent implementation I am working on, which delivers what this promises (at least o
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by OleksandrC 1mo ago
I am working on an agent implementation that you might like: https://github.com/OleksandrChekhovskyi/hax Written in C, tiny footprint, minimalist approach to system prompt and tools (yet essential batteries are include
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by OleksandrC 2mo ago
This would be an interesting use case. But it seems API access is not included in the subscription? The value proposition would have been higher if it was (so one subscription for both human and agent use).
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by OleksandrC 2mo ago
They could, for example: 1. Rely on users flagging suspected repos (with human moderators reviewing afterwards). 2. Deploying AI agents to evaluate repos against known AI-generated-code patterns (also with human moderators afterwards). Of c
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by OleksandrC 2mo ago
Claude-written code is quite easy to spot - because it has this particular style of overly verbose "walls of text" comments, that 1. repeat verbatim what the code just below does, 2. include "list of things" that quickly
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by OleksandrC 2mo ago
Recent Kimi K3 release is supposedly frontier-grade, so would be interesting to see what it really costs to run inference for models of this class, when the weights get released and other independent providers pick it up (then we could reas
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by OleksandrC 2mo ago
One significant advantage of Codex subscription over Claude is that you can use any agent harness with it. Meanwhile Anthropic insists that Claude subscription must only be used with Claude Code itself - and I have significant gripes with t
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by OleksandrC 2mo ago
The article makes a point about agent harnesses being sticky (the supposed moat). I have been building my own agent harness for a while, and I can tell with confidence that the harness almost does not matter, the entirety of the AI magic is
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by OleksandrC 2mo ago
The article is rather light on "what to actually do about it". Even the basic "run it in isolated container without access to anything it does not need for the task" would have already improved the situation considerably
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by OleksandrC 2mo ago
The code written by agents generally seems to reflect what you (the human driver) asked for. If you discuss the approach and architecture first, asking the right questions in the process, and then let it implement - the result is quite on p