Why your platform team shouldn't build an AI context layer (even though they probably could)

TL;DR

An internal AI knowledge system may start as a simple retrieval project, but keeping its sources current, answers trustworthy, and permissions auditable can become a platform team’s full-time job. The post advocates a managed pipeline covering capture, validation, organization, governance, and delivery, and pitches Stack Internal as a way to handle that ongoing work. Its conclusion: buy rather than build unless knowledge infrastructure is a competitive advantage, so engineers can focus on customer-facing products.