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SUMMARY:Documenting your open source projects for machines - Jacob Tomlins
 on
DTSTART;TZID=Europe/London:20260606T161500
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DTSTAMP:20260812T142656Z
UID:pretalx-pydata-london-2026-3MAU9W@pretalx.com
DESCRIPTION:As coding agents grow in popularity\, open source project docu
 mentation is increasingly consumed by LLMs. When people build things with 
 your open source library their agent will read your documentation and writ
 e code based on what it discovers there. To ensure your users have a good 
 experience we need to start thinking about how to write and publish our do
 cumentation to make sure agents produce the best code possible.\n\nCoding 
 agents are now on the critical path for making decisions around which libr
 aries to use. For open source developers it’s important to market your p
 rojects to LLMs as well as humans. Publishing material about the project i
 n a way that is easy to discover and parse for models is key to increasing
  adoption.\n\nThis talk will cover key things you need to know to make you
 r project successful in a coding agent world:\n\n- SEO for the LLM age\n- 
 Publishing your docs in context efficient formats like markdown\n- Providi
 ng plentiful examples that ensure agents produce idiomatic code for your l
 ibrary\n- Adding LLM specific information to the documentation to help sha
 pe behaviour
LOCATION:Doddington Forum
URL:https://pretalx.com/pydata-london-2026/talk/3MAU9W/
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