9 months building an advanced StarCraft reporting tool with Go and Claude (marianogappa.github.io)

After nine months of development, a new reporting tool named screpdb has been launched for StarCraft: Brood War, leveraging the programming language Go and the AI Claude. The project originated from a personal passion for the game and addresses a gap in existing replay analytics. Rather than simply querying replays with a chatbot, the tool enables users to analyze complex game semantics, such as player strategies and economic behaviors, by parsing the messy command streams recorded in replay files. This is significant for the AI/ML community as it showcases how advanced AI techniques can transform raw data into meaningful insights, providing a deeper understanding of gameplay that traditional tools lack. Key technical advancements in screpdb allow it to derive high-level interpretations from replay data, such as detecting player alliances, estimating resource management, and revealing tactical maneuvers. The tool leverages a companion library that analyzes maps to enhance the spatial understanding of game events. This combination of replay parsing with AI optimization not only enhances the user experience by making complex data accessible but also addresses historical limitations in replay analysis for the StarCraft community. By being open source and equipped with a user-friendly interface, screpdb is poised to complement existing tools and foster collaboration among developers and players alike.