The Best AI Fix Isn't Adding More: It's Taking Away
I noticed something interesting. Whenever an AI agent starts doing strange things, the immediate response of any team is to add more of something. More context. More tools. More logging. Anything so that the AI "has all it needs." This feels right, I guess. It turns out that's usually exactly what's causing the problem.
A few months ago, my team went down that road with a project that was supposed to be simple, and turned into anything but. We were building an internal agent for our support engineers, something to help them triage production incidents faster. Pull logs, check what got deployed recently, look at open tickets, take a guess at the root cause. Standard stuff on paper. The kind of task that sounds like a weekend build until you hand it to people who are on call at 2 am and have zero patience for a tool that wastes...
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