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Explore the development of AI-powered coding assistants for OCaml, a functional programming language with limited tooling resources. Learn how Jane Street tackled the unique challenges of building intelligent developer tools for a specialized language environment, covering the complete pipeline from data collection and model training to seamless editor integration. Discover practical approaches to gathering quality training data for low-resource languages, developing meaningful evaluation frameworks for custom-trained models, building robust underlying infrastructure, and creating tools that align with existing developer workflows. Gain insights into the end-to-end process of creating LLM-powered coding assistants that enhance productivity in functional programming environments, with real-world examples from Jane Street's OCaml-centric development ecosystem.
