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Coding Experience: Shifting from Claude Sonnet 4.6 to Qwen3.6-35B-A3B-UD-Q6_K
This is a post aimed at beginners in the realm of Vibe Coding and large language models (LLMs). It’s for those who are still developing their skills and not yet ready for more advanced applications.
Initial Setup with Claude Sonnet 4.6
I embarked on a Python Pygame project about two months ago, which has grown to over 30,000 lines of code across 55 modules. I utilized Visual Studio Code and Copilot Pro+, spending more than the pro+ package in additional premium requests per month.
Problems with Claude Sonnet 4.6
The initial experience was promising but soon fell short due to several issues. Claude Sonnet began struggling to resolve bugs, even after numerous attempts at refining prompts. The response times also became problematic; messages like “Sorry, the response hit the length limit” started appearing frequently.
Transition to Qwen3.6-35B-A3B-UD-Q6_K
I then shifted to Claude Opus and later used Qwen3.6-35B-A3B-UD-Q6_K, which has proven much more effective. The model has already resolved several bugs that Sonnet could not handle. However, managing the context window and prompt phrases remains a challenge.
Benefits of Qwen3.6-35B-A3B-UD-Q6_K
The transition to Qwen3.6-35B-A3B-UD-Q6_K has been smoother in terms of bug resolution. It’s more cost-effective and efficient compared to Sonnet, especially considering the additional premium requests I had to make.
Key Takeaways
- Qwen3.6-35B-A3B-UD-Q6_K is a viable alternative for beginners looking to manage their Pygame projects effectively.
- The initial setup and modularization of the codebase significantly improved both Claude Sonnet 4.6 and Qwen3.6-35B-A3B-UD-Q6_K’s performance.
- For those starting with a new LLM like Qwen, it may be beneficial to have Claude Opus assist in setting up the project initially.
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Originally published at reddit.com. Curated by AI Maestro.
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