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every millisecond you spend trying to “automate” the remediation of a service that’s exceeded its design criteria is wasted energy that could have been spent improving the system

Gergely Orosz@gergely.pragmaticengineer.com

When I hear about “AI SRE” startups (products hoping to automate oncall so no dev gets woken up at 2am): Putting in more work so stuff works so you don’t get paged at 2am is what we have today. Should we get more AI and less feedback systems reliability could get a lot worse

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Imagine waking up after a good night's sleep to find the on-call AI tried to get your service back up by restoring a production database to a "known good" snapshot or deploying dev to prod because it thinks that contains a fix to transient errors that it wouldn't have fixed anyway.

additionally, for the past year, LLMs have been great at fixing localized problems. I'm starting to see them get better at global reasoning and migration from old system A to new system B as well, esp. once you invest in good success signals for the agents