Daily Reading List – May 7, 2026 (#779)

There’s the usual stash of AI content below, but also a few pieces that give you a break from the non-stop AI train.

[article] Why SaaS freemium playbooks don’t work in AI, and what to do instead. Good piece. Instead of the classic “give basic features for free and put premium behind a paywall”, AI products are upselling on usage intensity, outcomes, and most compute-heavy experiences.

[article] Designing front-end systems for cloud failure. Since I’m not a frontend guy, I haven’t thought much about this topic. But I liked the insights about degraded frontend experiences and the breadth of things that you need to guard against.

[blog] 10 Lessons for Agentic Coding. Today. Lessons for today. Who knows what the “good practices” will look like tomorrow?

[blog] Monitoring reliably at scale. What if your observability stack depends on the same systems that it monitors? Yikes. Airbnb wanted to break these circular dependencies.

[youtube-video] How a Group of Developers Took Back Control from Enterprise Java | Spring: The Documentary. Wonderful video documentary that looks at the history and impact of the Spring Framework.

[blog] Cold Starts Are Costing You: Fix Them with GKE Pod Snapshots. Wow, this’ll come in very handy for many people. Save app, file system, and network state into a snapshot used for subsequent Kubernetes pod startups.

[blog] Coding with AI Agents is Now a Baseline Expectation for Managers. Fun post. You might reignite your passion for tech by throwing yourself into the toolchain your team is using.

[blog] Gemini 3.1 Flash-Lite is now generally available on Gemini Enterprise Agent Platform. It’s a terrific model that’s fast and cost effective. Now GA across surfaces.

[blog] Choosing between APIs, MCP, and Agent-to-Agent architectures. Lak wants us to all default to REST APIs first, and only bring in MCPs and A2A when needed by reasoning agents.

[blog] AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields. It’s so great to see advances like this, where AI is contributing original insights.

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