Stack

Tools I Use

My documentation stack combines docs-as-code, knowledge base platforms, collaboration tools, AI-assisted workflows, and multimedia tools to create, maintain, and deliver clear technical content efficiently.

Documentation Toolset

  • Markdown and docs-as-code workflows
  • GitHub, Git, and pull-request reviews
  • VS Code, Vale, and editorial QA tooling
  • MadCap Flare for structured authoring and publishing
  • Zendesk and Intercom for knowledge base and help center content
  • Camtasia for video tutorials and training content
  • Jira and Confluence for planning and collaboration
  • ChatGPT and Copilot for AI-assisted drafting

Preferred Setup

Docs-as-Code Workflow

I prefer a docs-as-code workflow that combines VS Code, Markdown, GitHub/GitLab, and Git for structured, version-controlled documentation. For larger documentation projects and structured publishing, I also work with MadCap Flare.

Knowledge Base, Collaboration & Training

For knowledge base publishing, I currently work with Fluid Topics. I also have hands-on experience with Zendesk and Intercom for knowledge base management, help center content, and user-facing support content. Camtasia supports video tutorials and training materials, while Jira and Confluence are part of my planning and collaboration workflow.

AI-Assisted Documentation

AI is integrated into my documentation workflow through ChatGPT and GitHub Copilot, which I use to support drafting, rewriting, content structuring, terminology consistency, and documentation QA. The final content is always reviewed and validated against product requirements and source information.