Agentic Engineering: dependency graph visualization" and "blast-radius" use case.

Infrastructure management begins with a map of interdependencies. In domains where system integrity depends on visibility — electrical grid maintenance, pharmaceutical supply chains, aerospace engineering — a foundational principle holds: before any modification, the system must be understood. A grid operator maps power lines. A pharmacist traces drug pathways. An engineer models aircraft subsystems. The method differs. The necessity does not. Without a structural map, changes become blind, risks unbounded, and accountability fragmented. This principle applies to AI-driven codebases, where the absence of a topology map creates silent chaos. An agent tasked with "refactoring a module" may alter files without knowing what they depend on, who relies on them, or what downstream systems will break. The codebase becomes a black box, with no way to trace the ripple effects of a single line of change. The work is not invisible — it is unmoored. I built the Component Fabric to anchor AI agents