Reflections on AI Week, and the future of solving problems with observability and AI

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Thank you for spending AI Week with us. We’re thrilled by the reaction and we all enjoyed replying to your questions. Thanks for engaging.Some of my favorite quotes from LinkedIn and Reddit include:“Grafana’s latest announcements aren’t just 'AI features.' They signal a shift in what observability platforms are becoming.”“I had Claude migrate and update and validate dozens of hand-rolled dashboards… Worked astonishingly well… 95% done in 30m with the MCP and Claude.”Good vibesWhile AI Week is coming to a close, the story doesn't end here. Just like you, we're in the middle of a major transition in how AI and observability work together to solve problems quickly.We can’t do it without you. So please try our tools in your own teams, and let us know what we got right, as well as where we need to keep iterating. We know lots of people already feel left behind by the rate of change, so we’re making it our mission to catch you up, filter out all the noise, and bring you the very best in agentic operations.That's why I'd like to use this last post for the week to look back at how we got here and look ahead at what's yet to come—for Grafana Labs' AI tooling, for the software development and management industry, and most importantly, for users like you.Our storyAt Grafana Labs, we've always tried to innovate at the cutting edge of observability to solve real problems brought to us by our internal and external users. But when it comes to LLMs, we were a little late to the party. To be completely honest, we were skeptical. Starting in 2024, we began seeing so many examples of AI …

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