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User struggles with Qwen 3.8-27B for agentic coding tasks

A user on Reddit is experiencing difficulties using the Qwen 3.8-27B model for agentic coding tasks. Despite using powerful hardware and tools like VSCode addons and MCP servers, the model often fails to complete tasks correctly, gets stuck in loops, or attempts unnecessary fixes. The user has tried adjusting prompt templates and context limits, but the performance still lags significantly behind other models like Deepseek V4 Flash and commercial options such as Claude Code and GitHub Copilot. AI

IMPACT Highlights potential limitations in agentic coding capabilities for certain open-source models, impacting developer workflows.

RANK_REASON User-generated commentary on a specific model's performance.

Read on r/LocalLLaMA →

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

User struggles with Qwen 3.8-27B for agentic coding tasks

COVERAGE [1]

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

    Am I doing something wrong? Qwen 3.8 27B seems useless for agentic coding

    <!-- SC_OFF --><div class="md"><p>I have been using local models on/off for like 2 years or so but never really used them extensively because the closed ones were always much better.</p> <p>Once Qwen 3.8 27B was released I decided to give it another serious try. I configured Clin…