Technical documentation is increasingly being read by AI agents, creating a new set of demands around how that information is published and structured. Docsy, the Google-created documentation project used by major cloud native projects, is now moving to the Linux Foundation as it adds features aimed specifically at that machine audience.
Erin McKean, senior developer relations engineer at Google and a member of the Docsy steering committee, announced the move in a keynote on Wednesday at the Linux Foundation’s Open Source Summit Europe in Prague.
First announced by Google in 2019, Docsy is an open source theme for the Hugo static site generator designed for technical documentation. It can be used for documentation generally, including proprietary projects, though it has become particularly widely used in the open source sphere. By the end of 2024, some 2,200 projects were using Docsy, with adopters across the Cloud Native Computing Foundation (CNCF) including Kubernetes, OpenTelemetry, gRPC and Jaeger.
That existing footprint inside Linux Foundation communities is part of the rationale behind the move. Speaking to The New Stack after the keynote, McKean says bringing Docsy into the foundation puts it closer to many of the projects already using it.
“Open source projects work best when they are close to the users,” she says.
“Open source projects work best when they are close to the users.”
In her keynote, McKean focused heavily on the arrival of AI as a new consumer of technical documentation. Some technical writers, she acknowledges, are “a little bit salty” that it took AI to bring more resources to documentation.
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