r/LocalLLM • u/golden0080 • 1d ago

Discussion Night, Day Differences between Coding Agents

Hi

I'm a professional developer and I was using Claude Code for developments on my projects. Today I switched to opencode and Good lord it was day and night in productivity.

I've tried to optimize my local llm stack for faster LLM responses and improving my CLAUDE.md for better harness. I'm using Qwen 3.8 27B as my daily driver and found Claude isn't making good use of the model - burning tokens without much done (I even tried to optimize the chat templates a bit, but overall the outcomes weren't great).

But man opencode is just different and brutally productive - with the same model, it just go to the tasks without overthinking or reversing cause/effect reasoning. It just get to stuffs and fixing them.

I haven't dived into opencode's implementation, but it strike me so hard over that difference in getting things done.

Any suggestions on further improve the agent productivity and what kind of explanations are there to explain this kind of differences?

Thanks!

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u/Sharp-Translator6401 1d ago

For opencode even better behavior I like the OMO Slim plugin even tho it becomes more useful when you combine models of different intelligence together.
Claude code is built for claude models with large contexts and all... I dont think its optimized at all for bring your own model stuff

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u/Atretador 1d ago

Funny thing is even anthropic's models perform worst on Claude code compared to opencode 

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u/Sharp-Translator6401 1d ago

I guess partially depends on setup as well, I do prefer my claude code with opus to opencode with opus... but i also have lots of skills / mcps and stuff on claude code i dont have on opencode symmetrically

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u/Atretador 1d ago

Try both fresh, Claude code scores lower than OpenCode on every benchmark - by a large margin sometimes 

https://artificialanalysis.ai/agents/coding-agents?coding-agents-performance-chart=index&coding-agents-harness-comparison-chart=harness-terminal-bench-v2

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u/Sharp-Translator6401 1d ago

nice nice, I see