Qwen 3.8 Faces a Brutal C-to-Web Port
π‘A 600,000-token code migration exposes the real speed and orchestration gap between local and cloud agents.
β‘ 30-Second TL;DR
What Changed
The task involved a 2.1 MB, roughly 600,000-token C source file that exceeded the model context window.
Why It Matters
The comparison highlights the gap between local and cloud coding agents on oversized repository-level tasks. It also suggests that better orchestration and file-navigation strategies may matter as much as model weights for long-context coding.
What To Do Next
Benchmark Qwen 3.8 27B with a structured repository-walking harness and explicit file-selection prompts before using it for large code migrations.
Key Points
- β’The task involved a 2.1 MB, roughly 600,000-token C source file that exceeded the model context window.
- β’Claude Code with Opus 5 finished in 21 minutes and produced an acceptable port.
- β’Qwen 3.8 27B produced broken results under both Hermes and Codehamr harnesses despite using a 262,144-token context and RTX 6000 Pro hardware.
- β’The author argues that prompting and harness design strongly affected results, while local inference remained dramatically slower.
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Original source: Reddit r/LocalLLaMA β
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