Developers waste computational resources recalculating unchanged data in complex systems

Software engineers building data-intensive applications struggle with performance degradation because they must recompute entire dependency graphs even when only small inputs change. Current solutions force developers to manually optimize caching logic or accept slow rebuild times, leading to longer development cycles and higher infrastructure costs. This is especially painful for teams building compilers, build systems, spreadsheet engines, or real-time data processing pipelines where incremental computation could dramatically improve speed.