Daily Reading List – January 26, 2026 (#707)

I’m flying up to San Jose in a few moments, and spent some free time this weekend building a demo that showcases the AI-first product development lifecycle. It goes from research to planning to building and deploying to operations. Figured I can’t talk about it if I hadn’t tried it myself!

[article] How MCP Server Help AI Act. Quick piece, but it’s a good reminder of what MCP can do for you. I used a couple of servers this past weekend to finish a project faster.

[blog] High-Risk, High-Scale: Guaranteeing Ad Budget Precision at 1 Million Events/Second. Every architecture won’t look like yours, but we can still learn from use cases that don’t directly apply to us.

[blog] Just for Fun: Migrating a legacy Spring Boot application with Conductor in Gemini CLI. Daniel takes a dusty Spring Boot app and shows us the flow to genuinely modernize it with our agentic CLI. Great flow.

[blog] 2026 Predictions from the Battery Team. Everybody’s got an angle, but I like VC predictions given how close they are to what’s relevant in the moment.

[blog] I’m addicted to being useful. Me too, but I’ve also found it’s important to be useful where needed, not everywhere. Sometimes I just need to listen, or watch things play out.

[blog] Improving workflow orchestration with Apache Airflow 3.1 in Cloud Composer. Other software, non-AI software, continues to hum along. The latest version of Airflow for data processing is available on Google Cloud.

[article] Engineering as Humanity’s Highest Achievement. I’m a huge nerd for giant engineering projects. I love them. Keep building!

[article] Pushing the Agentic Frontier with Ephemeral Messages. Very cool original idea from our Google Antigravity team. This seems to make a big difference in how well the IDE follows instructions over long conversations.

[article] 16 open source projects transforming AI and machine learning. Here’s a timely list, with a couple things I hadn’t heard of yet.

[blog] Beyond Buy vs Build: A new choice in the world of enterprise software. Lak’s “fourth path” is interesting. Will vertical AI startups generate custom software, saving customers from vibe coding custom SaaS?

[blog] Stop Calling It “Vibe Coding” — It’s Supervised Generation. The “let AI generate everything without watching” crowd is excited right now, but Tim provides a sensible reminder.

[article] Kubernetes 1.35 features that change Day 2 operations. What’s new for platform folks running Kubernetes? Jani covers it well here.

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