541–550 of 626 posts
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I’m in the Claude code harness for everything boat too. What are the alternatives?
It’s not just bloat at this point. I run oMLX and run models locally. using Claude code on the first message dumps 40k of tokens that my laptop takes 5 mins to compute. I’ve stopped using it completely now.
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I’ve tried a bunch of them, and I seriously do not understand these recommendations. It was a rough road and a steep hill, but right now CC is absolutely the best harness on the market, as for me, whatever top tier model is under the hood (mostly, some of them, like DeepSeek, don’t fit CC at all).
It's buggier for me than it has ever been before. I don't think that agentic coding always leads to such a buggy mess. I just don't think that the Anthropic front-end software team is very good at agentic coding.
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are you just assuming capitalism will keep burning money to keep ahead?
Are you assuming it won't?
Just watched a youtube where sethgreen crashes the entire NFT market because his got stolen for some TV show that was supposse to showcase the value of "owning" and NFT.
So like, in theory, sure, they can keep burning their NFTs. In practice though, it just takes a extremely likely black swan event.
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You should try a better harness. Try pi, or ohmypi if you want a good OOB experience
I'm gonna shamelessly plug my own here :) https://dirge-code.github.io/
Building [=======================> ] 610/611: dirge(bin)
Just hangs there :(
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What the person above is suggesting: * https://pi.dev/ * https://omp.sh/ (no personal opinions of either, links might be useful) I think that OpenCode is nice, their CLI version is enjoyable and their desktop/web version is okay : * https://opencode.ai/ I also quite like driving OpenCode through something like Kepler / Paseo and tools like that (with those I can still use my Anthropic Condition by Claude Code being t…
No one in their right mind would install software using `curl | bash`
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Just as a +1 anecdote. I enjoy using pi a lot. I used to h think the harness matters a lot but with the current iteration of models I am starting to sway that while it matters it’s less and less important and that CC is bloated. I did some quick tests when I switched and a task that would take $5 in tokens would be completed in $0.50 in pi. Very anecdotal and I don’t have a test framework setup to make this very offi…
are ohmypi and pi related? that's a very compelling use case, thank you
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You should try a better harness. Try pi, or ohmypi if you want a good OOB experience
what is a harness? The comments below are mixing IDE/ADE but other suggestions are purely terminal things and I don't get what their value is over just a terminal. Is a harness like a loop where it's just a vague thing that everyone nods about but everyone is nodding at something different?
An I the only one who was disappointed with GLM 5.2 after all the hype? It was thinking forever and sometime just stopped mid task.
That's mostly about 1) harness incompatibility with the GLM and/or 2) Bad implementation of hosting the model by your upstream vendor
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> run free LLMs locally at native speed This reads like a hallucination. What does native speed even mean?
for example, models running at like 100-150 tokens/second (or faster!) vs 15 t/s (fable/sol are ~60 t/s, and OpenAI just announced their Cerebras partnership(?) for "ultrafast" mode of 750 t/s) models aren't able to run that fast right now on our consumer/prosumer hardware. M5 Max for example has a memory bandwidth of 600 GB/s. a 5090 has 3x that, so running the same model on a 5090 is that much faster (provided the…