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Jeremy

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@linuxquestions

Founder of LinuxQuestions.org, VP Open Source and Technical Community @datadoghq, CNCF Board, Linux Fund, ardent but realistic open source advocate.
jeremy.linuxquestions.org Joined February 2007
218 Following 5.7K Followers 5.7K Posts

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Jeremy Verified account @linuxquestions
Is "markdown cool again", or was it cool the entire time?
Datadog, Inc. Verified account @datadoghq Apr 28
The future of productivity might look a lot like the past: simple, structured text files that allow AI agents to perform thorough, deep-dive analysis at scale. Datadog CTO, Alexis Lê-Quôc, shares how he’s using AI to bridge the gap between human-led outlines and data-driven research.

Explore more on This Month in Datadog: youtube.com/watch?v=RRl9KM…
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Jeremy Verified account @linuxquestions
One takeaway for me from my recent "This Month in Datadog" discussion with the @datadoghq co-founders.

It's time to question long held beliefs and habits. Many of them are still correct, and worth defending. Others aren't. Some are now liabilities.

youtube.com/watch?v=RRl9KM…
www.youtube.com Olivier Pomel and Alexis Lê-Quôc on Datadog’s origin, AI, and more |... Get an insider’s view of Datadog from the people who built it.On ...
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Jeremy Verified account @linuxquestions
The @datadoghq DASH fireside chat lineup looks amazing.

@oliveur + @ClemDelangue
Alexis Lê-Quôc + @thsottiaux
@atalwalkar + @_sholtodouglas
Yanbing Li + @tomocchino

I absolutely can't wait. See you in June!

dash.datadoghq.com
dash.datadoghq.com DASH 2026 | The Observability + AI Event of the Year | DASH by Datadog DASH by Datadog is two days of hands-on learning for builders, engineers, and security teams to explore new ways to run modern AI-powered systems. Register today.
Jeremy Verified account @linuxquestions
The first @datadoghq report on AI/LLMs just dropped. It explores the state of AI engineering in production. One thing struck me. As the ecosystem matures and real LLM-based systems are in production longer, these systems start to look more and more like the distributed systems we already know. The overlap isn't 100% of course, but routing, dependencies, budgets, capacity planning, tech debt, and unanticipated failure modes... a lot of the patterns look familiar.

datadoghq.com/state-of-ai-en…
www.datadoghq.com State of AI Engineering | Datadog For our 2026 State of AI Engineering report, we analyzed data from thousands of AI agent environments to assess trends in agent development, architecture, and operations.