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I know there are a lot of tools focused on root cause analysis after things break. Cool, but that’s not what’s wearing me down. What actually hurts is the constant context switching while trying to understand how a system fits together, what depends on what, and what changed recently.
As systems grow, this feels like it gets exponentially harder. Add logs and now you’ve created a million new events to reason about. Add another database and suddenly you’re dealing with subnet constraints or a DB choice that’s expensive as hell, and no one noticed until later. Everyone knows their slice, but the full picture lives nowhere, so bit rot just keeps creeping in.
This feels even worse now that AI agents are pushing large amounts of code and config changes quickly. Things move faster, but shared understanding falls behind even faster.
I’m honestly stuck on how people handle this well in practice. For folks dealing with real production systems, what’s actually helped? Diagrams, docs, tribal knowledge, tooling, something else? Where does it break down?