Enhancing you Docs-as-Code Workflows with Agentic AI Automation

  • Fachvortrag
  • Softwaredokumentation
  • 11. November
  • 05:45 PM (MEZ) - 06:30 PM (MEZ)
  • C5.2/3
  • Dr. Yulia Rönsch

    Dr. Yulia Rönsch

Inhalt

We’ve all been there: engineering is moving at lightning speed, product tickets are scattering, and the pressure to deliver flawless documentation is skyrocketing. How do you maintain quality when time isn't on your side?

Enter the future of docs-as-code. This talk reveals a real-world use case of injecting autonomous AI agents directly into a GitHub-based publishing pipeline. By bridging the gap between your ticketing system’s business logic and Git webhooks, these agents automatically draft accurate documentation the moment a PR closes.

But don't worry, robots aren't taking over just yet. Discover how to build a seamless "human-in-the-loop" workflow that balances cutting-edge AI automation with essential writer oversight. Come see how agentic AI can supercharge your pipeline!

Das lernen Sie

  • What is docs-as-code 
  • Which components/systems are involved
  • How the workflow used to look like without agentic AI and which weaknesses it had
  • Where AI agents have been injected within the workflow, what was the reasoning 

Referent:in

Dr. Yulia Rönsch

Dr. Yulia Rönsch

Biografie

Yulia ist promoveirte Kommunikationswissenschaftlerin (TU Dresden). Sie schreibt technische Dokumentationen, unterstützt Unternehmen beim Aufbau von Content-Delivery-Infrastrukturen, verwaltet Wissensdatenbanken und stellt sicher, dass KI effektiv und in vollem Umfang genutzt wird – bei allen Aufgaben, insbesondere aber im Wissensmanagement und in der Erstellung (technischer) Inhalte. Dabei schlägt Yulia die Brücke zwischen technologischer Innovation und menschlicher Akzeptanz.

Yulia holds a PhD degree in communication science from the University of Technology Dresden. She writes technical documentation, helps companies build content delivery infrastructures, manages knowledge bases, and ensures that AI is used effectively and to its full potential—across all tasks, but with a particular focus on knowledge management and (technical) content creation. 

Yulia bridges the gap between technological innovation and human acceptance.