Technical writers working in docs-as-code environments face unique opportunities and challenges when it comes to automation.

While traditional CMS platforms limit what you can automate, docs-as-code workflows (GitLab, Markdown, static site generators) enable powerful programmatic solutions.

But how do you build automation tools when you’re not a software engineer?

In this session, Rebecca Alves, Senior Technical Writer and AI Innovation Lead at Indeed, will demonstrate how to leverage AI coding agents (like Claude/Cursor) to create production-ready documentation automation tools without deep programming expertise.

She’ll explore real-world examples from Indeed’s Partner Platform Technical Writing team, including:

• Release notes automation: Reducing curation time from days to minutes.
• Translation sync systems: Automating multi-locale coordination workflows
• Quality assessment tools: Building automated documentation analyzers with Jira integration
• AI-assisted UX development: Implementing frontend improvements without engineering dependencies

You’ll walk away with practical strategies for prompt engineering, tool architecture, and team adoption, plus actionable frameworks you can apply immediately to reduce manual work and scale your team’s impact without growing headcount.

Secure your spot today!

About the Speaker

Rebecca Alves is a Senior Technical Writer and AI Innovation Lead at Indeed. She specializes in leveraging AI coding agents to build documentation automation in docs-as-code environments, with expertise in prompt engineering, LLM-powered workflows, and responsible AI governance. Previously, she led Indeed’s technical writing function as Technical Writing Manager, guiding teams through organizational changes while maintaining strategic cross-functional partnerships. She is a Doctoral Candidate and holds a Master of Arts in Rhetoric and Public Advocacy from the University of Iowa and is transitioning to developer evangelism and external thought leadership.