Teaching AI Agents to Master Vault Secrets Engine Design

Vault secrets engine development demands more than coding skills—it requires careful architectural decisions around credential workflows, API integration, and edge cases. This article explores how AI agents can be trained with domain-specific patterns and best practices extracted from existing Vault plugins, reducing the cognitive load of complex design decisions. The approach demonstrates a significant shift in AI application beyond code generation toward strategic architectural guidance in specialized infrastructure domains.