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Im sure this is on their roadmap, but honestly a pre-requisite should be a separate piece of software that analyzes and suggests changes to your error handling.

This is a cool proof of concept but almost useless otherwise in a production system

I can already feed Claude or ChatGPT my kubectl output pretty easily

Error handling and logging that are tailored for consumption of a specific pre trained model, thats where this will be ground breaking

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The AI needs to be integrated into Dev IDE. All my logging screaming is terrible decisions made by long ago Devs but getting them fixed now is impossible because they don't want to do it and no one is going to make them.

That is something we're working on -- good observability is a place where teams usually fall short and often the limiting factor to better incident response. We're working on logging integrations as a first step.

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