Daily Reading List – August 15, 2025 (#610)

Happy Friday. Any weekend projects planned? My kids go back to school next week, so we’ve got one more good weekend of shenanigans before they have to go LEARN STUFF again.

[blog] Creating an Automated UI Test of Your Web App in Seconds, with Gemini CLI and BrowserMCP. There’s a LOT of potential here. It’s never been easier to do automated UI testing of your app.

[blog] Production-Ready Gen AI: Beyond the Python Prototype. Shots fired! Rod says you shouldn’t be focused on Python if you’re doing enterprise AI apps. The JVM is his jam.

[blog] How Google does it: Your guide to platform engineering. Some useful framing in this post from folks who see how we manage platforms ourselves.

[blog] This Week in Gemini CLI (vol. 2) 🔥. Great updates this week. I like the ability to mess with MCP servers from the CLI and the direct VS Code integration helped me out a couple of times this week.

[article] That ‘cheap’ open-source AI model is actually burning through your compute budget. Huh. That’s news to me. I didn’t realize open weight models use a lot more tokens than the proprietary counterparts.

[blog] Monitor your databases on Compute Engine with Database Center. Low-key awesome. Even if you self-manage your databases on cloud VMs, they can get the advanced monitoring and AI assistance we offer to managed databases.

[article] Should CIOs care about new AI models? It’d be easy to ignore the steady stream of new models (and versions) that come out. Don’t settle into an old one for too long though!

[blog] Cloud CISO Perspectives: New Threat Horizons details evolving risks — and defenses. Find some key takeaways from our biannual threat report. Credential compromise and misconfigurations are still a top entry point for threat actors.

[article] Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure. Applicable advice here from someone who has seen what works, and what doesn’t.

[blog] Start and scale your apps faster with improved container image streaming in GKE. This is even more important now as we load large models and don’t want slow startups.

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