Reviving Literate Programming with AI Agents for Better Code Documentation
By
horseradish
Fresh out the oven, still warm. Top of the tray.
Summary
The article argues for revisiting literate programming (intermingling code with prose to create narrative documentation) in the era of AI agents. While acknowledging that traditional literate programming has been limited by the burden of maintaining parallel code and prose narratives, the author suggests that AI agents could automate much of this documentation work. The piece explores how modern AI could make literate programming more practical by generating explanations, maintaining documentation, and helping readers navigate complex codebases through natural language interaction.
Key quotes
· 5 pulledLiterate programming is the idea that code should be intermingled with prose such that an uninformed reader could read a code base as a narrative, and come away with an understanding of how it works and what it does.
In practice literate programming turns into a chore of maintaining two parallel narratives: the code itself, and the prose. This has obviously limited its adoption.
The agent era might be the time to revisit literate programming, because agents can do the work of maintaining the prose narrative for us.
What if we could ask an agent to explain a piece of code to us, and have it generate a literate programming document on the fly?
Literate programming could become a dynamic, interactive way of understanding code, rather than a static document that needs to be maintained.
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