Generating Engineering Documentation from Code Modifications with LLMs
- Fachvortrag
- Softwaredokumentation
-
11. November
-
02:00
PM
(MEZ)
- 02:45
PM
(MEZ)
-
C7.1
Inhalt
Integration of GitHub Copilot and Gemini LLM into the engineering documentation workflow to support the automatic generation of accurate, context-aware documentation based on code changes in GitHub pull requests. The AI models analyze code updates and provide structured suggestions directly within pull requests, enabling engineers to contribute high-quality documentation more efficiently and without loss of coverage. The presentation includes implementation details such as prompt design aligned with internal documentation standards and writing guidelines, as well as integration of the solution into the CI pipeline.
Das lernen Sie
The key takeaways offer practical guidance on integrating LLMs into Docs-as-Code workflows, generating documentation from code changes, and improving internal documentation practices.
Referent:in
Biografie
Staff Documentation Engineer with seven years of experience in technical writing for complex software products. Specialize in building scalable documentation ecosystems using docs-as-code approaches and AI-driven documentation workflows. Expertise spans cloud computing, cybersecurity, and software development domains. Proficient in documentation tools including Confluence, Jira, and Git, with strong background in Agile methodologies and version control systems. Collaborate closely with engineering, product, and UX teams to create user-centric documentation that accelerates knowledge sharing. Passionate about empowering engineers through well-crafted technical content.