 | Just a reminder, the harness you use can makes a huge diffrence (your llm client and interface bascially), It's is way more important than people think, I'm using pi.dev for over 2 months and oooh boy Qwen3.6 suddenly become a monster. my local machine + pi + exa web seach + agent-browser extenion and this setup can solve 80% of all my use cases which are: now - coding (python / rust / c++) complex planning task i delegate it to kimi2.6 and coding itself is handled by Qwen3.6 at the end: Use your Qwen3.6 with Pi coding and forget 😃 [link] [comments] |
Use Qwen3.6 right way -> send it to pi coding agent and forget
Reddit r/LocalLLaMA / 5/6/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- The post argues that how you “wrap” and integrate an LLM—specifically the client/interface/harness—can make a far bigger difference than many people expect.
- It claims that using Qwen3.6 through pi.dev significantly improves performance, turning Qwen3.6 “into a monster.”
- The author’s suggested setup combines a local machine with pi plus Exa web search and an agent-browser extension to cover roughly 80% of their everyday use cases.
- They report that web research with Qwen3.6 35B plus Exa can replace Perplexity for them, trading some extra time for better results.
- For complex planning tasks, they delegate to another model (Kimi 2.6) while letting Qwen3.6 handle the actual coding.
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