ScienceIDE provides infrastructure to convert scientific code repositories into programmable environments for scientific agents, mitigating fragmented toolchains and implicit domain conventions that constitute the scientific experience bottleneck. By leveraging expert‑defined scientific criteria, it enables reliable learning experiences from executable models, methods, and tools.