A privacy-conscious shift in how we publish and communicate with the public.
Since 2020, the RB and LPX Foundation has maintained a WordPress site to publish articles and updates. We have now migrated the site to Hugo, a static site generator that allows us to write in plain text using markdown and publish by merging changes to a public repository. For those of us who work professionally in software, this process is familiar and efficient. It also aligns with common practices in documentation across technical fields.
This change brings our publishing workflow into closer alignment with the foundation’s broader mission. Hugo does not collect user data by default, and because our site does not host a forum or require logins, there is no reason to involve third-party trackers. Our communication with project participants happens through more direct channels: email, community chat groups, or project-specific spaces. This approach respects privacy while still supporting collaboration. Hugo is known for its speed, simplicity, and flexibility, and is widely adopted across open-source and professional communities (Hugo Authors, 2025).
We see this migration as more than a technical decision. Public understanding of machine learning must include a critical awareness of how software systems treat user data. While this change is small, it reflects our commitment to ethical practices in AI. If other organizations share similar concerns and wish to move away from analytics-heavy platforms, we would be glad to offer advice or support.
References
Hugo Authors. (2025, August 5). The world’s fastest framework for building websites. Hugo. https://gohugo.io/