Talk to Your Chess Games with Python and LLMs

Learn to build an interactive chess coach that lets you have conversations with your chess games using Python and Large Language Models in this 14-minute conference talk from PyBay 2025. Discover how to analyze chess games programmatically using the python-chess library combined with the Stockfish engine, then integrate these analytical insights with LLMs to create a conversational interface. Explore techniques for extracting positional data and engine evaluations, then feeding this information to language models to answer strategic questions like "why is the evaluation bar tilting?", "what's the strategic plan here?", or "why is this opening line dangerous?". Walk away with a practical template and the knowledge needed to build your own interactive chess tutor that can provide personalized feedback on tactics, strategy, weaknesses, and overall game improvement.