LLM prompts as versioned, composable software artifacts

As I started building agentic workflows, I found myself frequently creating, improving, and tweaking prompts by editing hardcoded strings and managing text files. I realized this process lacked the crucial software engineering principles that make any project more robust and reliable: versioning, modularity, maintenance, and testing. One of the most important parts of AI agent development is the system prompt, as the success of the workflow's execution depends on it. So, why was I handling this critical step with such a rudimentary approach? With that in mind, I designed a framework that helps AI engineers build an agent's mind in a composable, shareable, and consistent way. The ultimate goal is to build a public repository for sharing prompt components that anyone can use to shape intelligence.