Treating Prompts Like Code: A Content Engineer's AI Workflow

A solo technical content engineer at Pulumi describes building a modular AI workflow system by treating prompts like code. Facing a one-person docs practice, the author created reusable Claude Code 'skills' (e.g., /docs-review, /pr-review, /shipit, /slack-to-issue) that share a central context file (REVIEW-CRITERIA.md) following DRY principles. The system was wired into CI/CD to automate PR reviews, dramatically improving contribution quality. Key lessons include modularizing prompts, version-controlling them, managing token costs, knowing when to use scripts vs. AI generation, and treating the AI as a conversational collaborator rather than a command executor. The approach turned a personal survival tool into a shared team platform.