From Wiki to Docs as Code: What we gained and what we lost along the way

  • Presentation
  • Content Design & User Experience
  • 02. June
  • 04:35 PM (CEST) - 05:15 PM (CEST)
  • E.11 Training Room
  • Uladzislava Lahun

    • PlayrixRS

Contents

When our company decided to migrate from Confluence to a new documentation platform, our technical writing team faced a choice: follow others to a new platform or rethink how documentation is stored and move it to live alongside the product itself. We chose the second option and transitioned our documentation to a docs-as-code approach, maintaining it in a repository close to the source code.

We aimed to bring documentation closer to development workflows so that changes could be reviewed alongside code. With the docs-as-code approach, automation became easier to introduce, and long-term scalability and versioning felt more robust. As an accidental bonus, this approach also laid the foundation for future automation and AI-assisted workflows.

However, the transition came with high costs and hidden issues. Both non-technical and technical contributors faced difficulties, and the learning curve turned out to be steeper than expected. The process itself became more complex, required additional tools and guidelines, and overloaded the team, which eventually became a bottleneck.

Takeaways

This talk presents a case study of our transition from a wiki-style platform to a docs-as-code approach, highlighting the benefits, the challenges we faced along the way, and what we would do differently if we could start over.

Prior knowledge

docs-as-code

Speaker

Uladzislava Lahun

  • PlayrixRS
Biography

I'm a senior technical writer with 5+ years of experience in Technical writing itself and two more years of support and user communication. Since I have transitioned from Customer Support, my focus is always more on the user and their perception of the information and less on the instruments. 

I love working with the documentation audience directly, supplementing the analytical data with user cases and consumer stories.