Use of AI

Community members can make AI-generated contributions to GitLab documentation, provided they follow the guidelines in our DCO or our CLA terms.

GitLab team members must follow the guidelines documented in the internal handbook.

AI is a productivity multiplier and creative catalyst for the Technical Writing team at GitLab. Examples include:

• Write and refactor documentation
  • Create initial drafts from outlines and screenshots.
  • Generate ideas to restructure content for scannability.
  • Draft tutorial content.
  • Convert list items to Markdown tables.
  • Rephrase and simplify language for better readability.
  • Edit UI text to make it more succinct.
  • Suggest alternatives and improvements to error messages.
  • Restructure pages based on user feedback with specific improvement recommendations.
• Support technical tasks and automation
  • Troubleshoot failed pipelines.
  • Write Python scripts for data analysis and content auditing.
  • Help with rebasing and Git operations.
  • Troubleshoot GDK update errors.
  • Create Mermaid diagrams.
• Analysis and research
  • Analyze documentation sets and identify pain points and improvement areas.
  • Summarize long documents.
  • Generate lists of content by topic or category.
• Collaborate as a thinking partner
  • Co-develop content iteratively through conversation.
  • Challenge assumptions and explore alternatives.
  • Ask probing questions to uncover requirements, edge cases, and gaps.

All content, AI-generated or human-created, is reviewed for accuracy and readability by a GitLab team member.