SOURCE-LINKED INTELLIGENCE
A Literate Programming Environment for Human and Machine Agents
This paper introduces an environment for constructing literate programs in concert with language-aware machine agents. This environment includes a grammar for executable program essays, a parser that treats names as first-class objects, an internal name-graph which relates prose, names and executable artifacts, and a binding mechanism for existing languages and testing toolsets. This supports co-location of code with its most relevant natural language and structured data context, making better use of Large Language Model (LLM) context windows. It also provides LLM coding agents with a toolset
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T14:54:24.000Z
First collected: 2026-09-21T10:02:02.728Z. This is not the publication date.