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Your Team Doesn't Have a Jira Problem. It Has a Context Problem.
How-ToMachine Learning

Your Team Doesn't Have a Jira Problem. It Has a Context Problem.

via Dev.toJesse Piaścik3h ago

I don't think most teams are slowed down by lack of effort. I think they're slowed down because the context for the work is scattered. The task is in Jira. The decision is in a doc. The code is on a branch. The AI prompt that explains the reasoning is in chat history somewhere. Everything exists. But not in one place where the next person can actually use it. So every handoff starts with reconstruction. What were we trying to do? Why did we make that tradeoff? Which branch has the latest version? Where did that decision happen? I've been noticing this more and more as I work with AI. At first I thought AI would reduce the need for documentation and coordination. Instead it made the problem easier to see. If the context is stale, incomplete, or spread across five tools, the output drifts. That is true for AI. And it's true for teams. That's the shared context problem. The Problem Isn't Just Missing Information Most teams don't actually have a shortage of information. They have a shortag

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