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Explore the intersection of artificial intelligence and APL programming in this 48-minute conference talk from DYNA Fall 2025. Discover the current state of AI tooling for APL developers and learn about Dyalog Ltd's initiatives to bridge the gap between APL and mainstream AI support found in languages like Python. Examine practical demonstrations of large language models attempting to write APL code, revealing both the potential and current limitations of AI in understanding array-oriented programming. Understand the implementation of Model Context Protocol (MCP) for connecting LLMs to running applications, and see how semantic search and Retrieval-Augmented Generation (RAG) can enhance documentation accessibility. Gain insights into building AI-powered features for APL applications and explore the future roadmap for AI integration in the Dyalog ecosystem. Learn from real-world examples of AI interactions with APL code, including attempts by Claude Opus to explain and generate APL solutions, while understanding the unique challenges that array programming presents to current AI models.
