
7/16/2026 · Simerus Mahesh
What this post added
This post introduces a novel approach to AI agent development by treating prompts as build artifacts rather than static text. It proposes modular prompt transpilation, enabling developers to break down complex agent instructions into smaller, manageable skill files. This facilitates better collaboration, testing, and CI/CD integration by applying software engineering principles like dependency management, static validation, and drift checking to AI agent prompts. The post also highlights the potential for agents to contribute to their own instruction layer through proposed code changes.