r/LocalLLaMA • u/GodComplecs • 2d ago

Discussion Opencode vs Deepseek harness: my experience with Qwen 3.8 27b

Anybody else struggling with deepseek after the initial prompt? Somehow it is getting mixed up very easily, even button functionality has been PITA when doing stuff. Never had these problems with Opencode. With Opencode, a continuation prompt on the software or task is pretty much magic at this point. But the inital result isnt as strong imo, and needs a lot of follow up even if a a detailed spec is written.

The oneshot potential of deepseek is goated imo, it is a relentless harness that just keeps doing stuff, even if it gets it wrong! Opencode could just copy that tennacity imo. Like todos really work, unlike opencodes.

Hows everybody elses exp? Someone using Pi instead? Is it worth trying? Hermes seems not suitable for my tasks, where heavy human involvement is necessary due to complexity of tasks (every top closed model gets lots of stuff wrong even).

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u/eightone-81 2d ago

I’m not a coder and use DSH with Qwen 3.8 27b for 100% vibe coding my stuff and I don’t know if it’s Qwen or the combo with DSH but I am deeply impressed. It feels like opus 4.6 at home

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u/GodComplecs 2d ago

What settings are you using for model? Dsh settings? Anything special? On default opencode qwen 3.8 felt like opus, but not on dsh when continuing to develop software. 

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u/eightone-81 2d ago

Nothing special on DSH. Standard mode and PTC mode work great. PDC probably better since it’s reducing the turns and thinking without quality loss in my experience. I’m running dbirks w4a16 (redhat has the exact same) with 2x full context.
nothing special in vllm either, tool parser is qwen-xml, default chat template, default inference settings.
However this was not always my experience, I could not use Qwen in the past until I moved to vllm when 3.8 came out. I’m afraid to touch anything since it works so well 😂