Today was a whirlwind. What a great crowd at Google I/O Connect in Bengaluru. After keynotes and breakouts, I got to spend my afternoon with media, analysts, startup founders, podcasters, and influencer-types. I’m officially talked out.
[paper] Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents. We’re going to see more always-on agents instead of primarily doing one-and-done sessions. But what does that mean to all the persisted state and the risks that come with that? Interesting analysis.
[blog] On Arguing Against Jevons. Why do we keep “flinching” when faced with Jevon’s Paradox that efficiency and lower cost of a thing results in more consumption of that thing?
[blog] Amazon SQS turns 20: Two decades of reliable messaging at scale. This was one of the first cloud services I ever used. Coming from a messaging background, I was blown away by the simplicity of having queues in the cloud.
[article] Five studies that are changing how I think about AI in software engineering. Each of these papers takes on a different question, and this article summarizes the key points from each. But most data shows that we’re building code faster than we can verify it or deliver it!
[article] Enterprise AI is entering an evaluation gap: Agents are gaining autonomy faster than companies can verify them. Echoing my previous point! There’s not a single solution.
[article] Engineering teams will shrink as AI shifts responsibilities. You’ll likely see more, smaller teams replacing the fewer, bigger ones. Give high-leverage tools to an empowered team of 3-8 and you’re set.
[blog] Securing the AI supply chain on GKE: Introducing k8s-aibom for automated AI BOMs. It’s open source, and looks at your deployed AI serving infrastructure to produce live bills-of-material.
[article] “Every IC engineer is really a front line manager now.” But are they productive? Indeed. This is a new type of work and new set of skills for every individual contributor. I’m not sure either are being well-addressed by management.
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