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Ultimately, I used gemini-3-flash for summarization, and seven models (gemini-3-pro, qwen-coder-plus, glm-5, glm-4.7, kimi-k2.5, doubao-seed-code, deepseek-v3.2) to generate seven sets of LLM-generated samples.
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Other architectures that are based on layers put more emphasis on Separation of Concerns. Thus, every layer is dedicated only to a specific technical function (e.g. all domain code, all use case code, all infrastructure code). But as a result they mix in one layer all the different business processes and domains. As the code grows, it gets harder to reason about.