Performance Regression Publisher

This project aims to build an automated performance regression detection system for the D compiler (DMD). It introduces a PR-based benchmarking bot that compares changes against the master branch and reports meaningful differences in compile time, memory usage, and binary size. Alongside this, a modular benchmark suite will simulate real-world and synthetic workloads to ensure accurate measurements. A lightweight dashboard will track performance trends over time, helping identify regressions and evaluate optimizations. The system is designed to be practical, maintainable, and tightly integrated with the existing D ecosystem.