We released ShinkaEvolve, a new state-of-the-art and fully open-source framework for program optimization, which we specifically designed to be easily integrated into any scientific codebase.In our technical report, we show how ShinkaEvolve can be easily applied across different problem domains. On the canonical circle packing task, ShinkaEvolve discovers a new solution with state-of-the-art performance beyond the recent closed-source AlphaEvolve using only 150 program evaluations. We even apply ShinkaEvolve to small-scale LLM pretraining, discovering a new load-balancing loss for MoE architectures with remarkable stabilization properties.ShinkaEvolve also comes with a detailed and lightweight WebUI to monitor its discoveries in real-time!