This developer uses Qwen 3.8 27B for iterative implementation work in personal projects rather than one-shot code generation. They refine the plan first, then let the model implement within a clearly understood scope and review the resulting code themselves. Cline in VS Code provides the harness, with a 65K context window and reported throughput of roughly 15–30 tokens per second after a 300–600 token-per-second prefill. The model typically supports three to five prompts before the context becomes prone to looping; keeping a changelog in Markdown helps maintain continuity between tasks.
Reported anonymously by an r/LocalLLM contributor · score 4