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Qwen 3.8-27B model struggles with agentic coding on local hardware

By PulseAugur Editorial · [1 sources] ·

A user attempted agentic coding on a Macbook Air M2 with the Qwen 3.8-27B model, a process that took an extensive 63 hours to produce a functional, albeit buggy, flight simulator. In contrast, using cloud-based platforms like Google AI Studio and Qwen Studio for the same task resulted in significantly faster completion times and more polished outputs, with Google AI Studio achieving a one-shot success in 20 minutes. AI

IMPACT Highlights the significant performance gap between local and cloud-based LLM execution for complex tasks.

RANK_REASON User experiment with a specific model and hardware configuration.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen 3.8-27B model struggles with agentic coding on local hardware

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0 / 100
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Tool
User experiment with a specific model and hardware configuration.
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product, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
31 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/HyperFoci ·

    I tried to do agenic coding with Qwen 3.8 27B 3bit quant on a macbook air m2 24gb. It took 63 hours, but amazingly, the flight simulator worked.

    <!-- SC_OFF --><div class="md"><p>I used LM Studio Bionic with Qwen 3.8 27B Q3_K_S with 57k context.</p> <p>It took a staggering 63 hours to finish coding. After the first prompt &quot;Create a beautiful, relaxing flight simulator in a single HTML page&quot; taking 47.8 hours, it…

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