Speaker
Description
This contribution reports the current status and recent progress of the CEPC core software, emphasizing its architecture, key components, and development workflow. The framework combines modern C++ and Python toolchains with a modular reconstruction chain and a unified geometry and conditions data model for long-term stability and reproducibility. We describe the continuous-integration and validation strategy, the versioned release process, and an automated performance-validation system that uses Kafka to orchestrate and execute validation steps. We also summarize recent developments, including simulation with the Gaussino framework, Diffusion Transformer (DiT)-based fast-simulation interfaces, reconstruction performance optimizations, and expanded analysis toolkits.
