Multi-Agent AI Repository Architecture: The Canonical Semantic Layer
Multiple AI coding agents in one repository create duplicated, drifting instruction artifacts. A canonical semantic layer solves the problem.
Software Architect at Plain Concepts . I design secure and scalable software systems and apply AI, cloud, and DevSecOps with engineering discipline.
Multiple AI coding agents in one repository create duplicated, drifting instruction artifacts. A canonical semantic layer solves the problem.
While designing a vendor-agnostic AI architecture for repositories, I discovered the ecosystem is missing a fundamental standard: a shared discovery protocol for AI artifacts. The problem is not prompt engineering or package management. It is architecture.
Software engineering careers were built on the assumption that engineers create value by writing code. That assumption is collapsing. The new competitive advantage is understanding the entire engineering system. DevEx is becoming the critical discipline of the AI era.
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