Recent submissions

Comment · 6 months ago
Also what has been happening a long time is that if you try to do any opencode development Anthropic models will start replacing the word opencode with claude intermittently.

Imagine how difficult tool calling gets, when your ~/projects/opencode path gets intermittently replaced to ~/projects/claude during the roundtrip to Anthropic API

They have been fighting back a while already, eroding trust in their models as a price.

I was even able to have an absurd conversation with Claude about it, quite kafkaesque

Comment · 6 months ago
No model download needed alternative: github.com/randomm/oo
Comment · 6 months ago
Similar experiences here. Suddenly my max 20 account is just useless…
Comment · 6 months ago
github.com/randomm/kuiskaus
Comment · 6 months ago
Oh dear, why does it not use apfel for cleanup? No model download necessary…
Comment · 7 months ago
Nice one! Looking forward to trying it out. Have had the same grievances about Arc being abandone. Dia? … nah
Comment · 7 months ago
Hey, so I have been tinkering lately with locally running LLMs for programming purposes, on a Strix Halo machine with 128GB of RAM. I quickly realised that in order to get more speed out of the setup I need to save on stuff that ends up in model context. I built (with agents!) this simple bash command runner that swallows large output, passing only the relevant stuff to agent.

Think pytest only outputting OK if all tests pass, but in case of error getting the necessary error output only.

It is a cli, basic use for agents:

oo pytest oo cargo test etc…

Custom patterns configurable and there is also learn -flag to use Anthropic models to have LLM write the configuration for your custom command.

Nothing too complicated or special, but works in my LLM workflow saving on token use & speeding models!

Have a great weekend!

Comment · 7 months ago
Nice idea, but the labels are a bit too opinionated for me.

Literally all my code has been ”ghostwritten” for the past 18 months. Does not sound like something enterprise customers would like to hear and try to understand what it means.

Comment · 8 months ago
Interesting concept, but is it going to age well with context sizes of models are changing all the time (growing, mostly)?
Comment · 8 months ago
Very nice!!
Comment · 8 months ago
Oh-my-bloat.

I am still an avid user of opencode, my own fork though with async tools etc, but it is cumbersome and tries to do too many things.

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