A dependency graph, while useful for visualizing code connections, does not equate to architecture. Architecture includes intentional decisions and desired states, whereas a graph merely describes existing relationships. Tools that infer architecture solely from directory structures or current code connections may miss the underlying intent or capture accidental historical artifacts. The key distinction lies in understanding the 'why' behind the code's structure, not just its current state. AI
IMPACT Highlights the need for AI coding agents to understand architectural intent beyond mere code structure.
RANK_REASON The item is an opinion piece discussing software architecture concepts and tooling for AI coding agents.
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