When tackling complex development tasks, there's an interesting workflow worth trying: dump your entire codebase into one AI model, have it generate a detailed prompt optimized for another platform, then feed that prompt directly into the second AI to handle the implementation. This two-step process essentially layers different reasoning engines on top of each other—the first AI distills your problem into a crystallized instruction set, while the second brings fresh perspective and different strengths to actual execution. It's like getting a second opinion baked into your code workflow. The extra roundtrip through prompt engineering might seem indirect, but it often catches edge cases the single-pass approach would miss.