Google blog discusses modular prompt transpilation for AI agents

Google's developer blog describes an approach to building AI agents with modular prompt transpilation instead of relying on one large system prompt. The post explains that as agents grow more complex, teams can run into problems such as difficult code reviews, duplicated instructions, and runtime failures from template errors. To address this, it recommends treating prompts like software artifacts, using reusable skill files, templates, and buildtime validation. The article also outlines how a transpilation pipeline can resolve dependencies, check for missing variables or circular imports, and compare rendered prompts against golden files in CI. It argues that this kind of workflow can improve reliability, support dynamic skill loading, and let agents propose instruction updates through normal code review processes.