Tooling and automation

Context: Meta, Senior Documentation Engineer, 2025–2026
Audience: Documentation contributors and internal operating partners

Repeated documentation work included change review, stale-content checks, media lookup, submission checks, and task setup. I treated these as documentation problems first. I confirmed the manual workflow, defined the stable part, and then used AI-assisted development to build practical tools and checks.

My role

I identified the problems, designed the workflows, directed AI-assisted implementation, checked the results, and maintained the tools.

How I built and validated the tools

Documentation problem first. I used a repeatable loop to separate stable work from human judgment, direct implementation, validate results, and maintain each tool.

Representative work

• A wiki-change comparison dashboard that supported manual reconciliation of content changes.
• An image-lookup tool for media stored in inconsistent CMS locations.
• Review and submission checks that applied standards from real editorial feedback.
• Workflow support for task setup, content synchronization, and change triage.

Scale and validation

Measure	Supported scope
Internal tools	10 documentation and workflow applications
Automated validation	More than 750 tests across the tool portfolio
Reusable workflow support	30 AI-assisted skills and 10 commands
Review standards	More than 50 patterns based on real review feedback

The broader automation program was estimated to save 466 hours per year and reduce administrative overhead by 76% in the relevant workflow.