Great day at the office, and a terrific reading list (if I may say so) today. Many good “think” pieces versus product announcements.
[blog] Most of What We Call Progress. Wonderful post on the things that many of us tend to learn over time while building systems.
[blog] Leaving the Cloud Isn’t for Everyone. Right on. For a subset of folks, running their own hardware and systems is the right thing competitively, and from a business sense. For the other 93%, you’re wasting time and money doing it yourself.
[article] Generative AI in the Real World: Chris Butler on GenAI in Product Management. Good discussion (and transcript for those who read faster than they listen). Product management is ripe for taking advantage of AI.
[blog] What have we learned about building agentic AI tools? I agree with most of these, but not sure RAG-for-codebases being completely wrong. Do repo search tools replace that? Not sure.
[blog] The Data Engineering Agent is now in preview. Looks cool. It doesn’t look like it replaces a data engineer, as you still need to know what to ask for. But this type of assistance makes smart people better.
[article] What Good Software Supply Chain Security Looks Like. Not a “hot” topic like it was a few years ago, but no less important.
[blog] Why Log Data Management Is a Thing. It’s a question of data, says James. Here’s a good roundup of some of the players trying to get log management under control.
[blog] Medium CEO explains how AI is changing writing. Writing to learn and think is important. It’s why I don’t use any AI on any of this, or other newsletters I write. But other circumstances don’t require that so much “thinking” to occur.
[blog] How Design Teams Are Reacting to 10x Developer Productivity from AI. Good timing here, as I’m talking to a group of designers today about the expected impact of AI.
[blog] Accelerating the magic cycle of research breakthroughs and real-world applications. We’re going faster and discovering more things in Google Research because of AI. Great to see.
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