How I built a modular AI workflow system to scale a solo docs practice — treating prompts like code, with reusable skills, shared context, and CI/CD.

The Pulumi blog provides developers with resources, tutorials, and best practices for infrastructure as code (IaC) and cloud-native development using Pulumi's open-source tools. Developers can learn about deploying and managing infrastructure using familiar programming languages such as JavaScript, TypeScript, Python, and Go. Additionally, the blog covers topics such as cloud architecture patterns, multi-cloud deployments, and serverless computing, enabling developers to build and deploy modern cloud applications with ease.

Pulumi

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.

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