Same model, same prompt, 4 different agents

The article discusses an experiment using the Qwen3.6-27B (Q4) model hosted on llama.cpp to generate a 2D solar system simulation from the same prompt across four different agent scaffolds: pi, opencode, hermes, and qwen code. Each agent produced a functioning simulation, but with notable differences in code quality and architectural choices; opencode was highlighted for its clean architecture and effective sub-stepped integration, leading to more stable comet trajectories, while pi was recognized for its coordinate consistency. This experiment underscores the impact of agent frameworks on output quality, providing insights for practitioners on how different scaffolding can influence the performance and maintainability of generated code in AI applications.