The patterns in this analysis ring true from running production AI agents. The stack choices (Drizzle, React, etc.) match exactly what our agents consistently pick, even with different prompts and contexts. What strikes me is how these biases actually help - having consistent, well-supported defaults reduces decision fatigue and keeps architecture predictable across projects. The real challenge is knowing when to override these defaults for specific requirements.