Daily Reading List – March 31, 2026 (#753)

For some reason, today’s list has a fair number of items that dig into the “how” of our work. How we architect, motivate ourselves on “hated” products, look at AI in our teams, and swap to cloud managed services.

[blog] Is Event-Driven Architecture Overkill for Most Apps? Derek tries to clear up why you bring events into an architecture (not scaling) but because you’re decoupling responsibilities in time. This and more in a good post.

[blog] Explore Benjamin Franklin’s scientific discoveries on NotebookLM. So cool. What a great way to learn! Stuff a bunch of content into NotebookLM, and then pick the best way to explore. Try it yourself.

[blog] Axios NPM Distribution Compromised in Supply Chain Attack. That’s the second scary supply chain attack on a popular dependency in the past week.

[article] Every Building You’ve Ever Been In Was Designed By Software Built in 1997. There are so many places where upgrading the software experience can have massive impact. Construction, for one.

[blog] Working on products people hate. We’ve probably all been there. But I liked Sean’s take, as it’s a reminder that at least people care (if they hate it), and it keeps you humble.

[article] AI is splitting companies into two groups. Who’s going fast or slow? Looking at tasks or jobs? That’s where Matt sees the separation.

[blog] Agent to UI Protocol (A2UI) with Agent Development Kit (ADK). I understand the relationship between A2UI (UI spec) and AG-UI (connect app to agent) better now.

[blog] ADK Go 1.0 Arrives! We just shipped ADK Java 1.0, and now it’s Go’s turn. This is a powerful framework for anyone building rich AI agents.

[blog] How to build production-ready AI agents with Google-managed MCP servers. Managed or self-hosted, MCP will likely find its way into some of your AI apps and agents. Here’s a good example of using both types, and securing the setup.

[article] Tech Conferences Aren’t Dead. But Why We Go Is Changing. We don’t go to events to learn something we can just Google. We go for deep focus, conversations with peers, and structured learning.

[blog] Spanner’s multi-model advantage for the era of agentic AI. You want relational? Key-value? Vector? Graph? This and more from a single Google Cloud database.

[article] When product managers ship code: AI just broke the software org chart. Yes, a lot changes/breaks/improves when more people can get involved in the process.

[blog] How ID.me Scaled to 145M Users While Reducing Operational Risk. Good story of building mission-critical services on managed cloud products.

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