Today’s list seemed to have a good number of items that could help you with planning work in your team: choosing frameworks, betting on databases, revisiting path to production, and skills training.
[article] What Developers Actually Need to Know Right Now. There’s a lot of wisdom in this post from Tim O’Reilly where he chatted with my colleague Addy.
[blog] How we rebuilt Next.js with AI in one week. This got me thinking about how often we’d now see people using AI to create compatibility layers or thinner versions of established frameworks.
[blog] I Taught My AI Coding Agent to Write YouTube Descriptions. AI-native teams and individuals ruthlessly attack toil with AI solutions. Karl has a creative and repeatable way now to make his video workflow simpler.
[article] How to adapt your skills for AI-driven development. Learn how to learn! There’s some useful advice here for taking a comprehensive approach to upskilling.
[blog] Google Renews Platinum Membership with the Linux Foundation, Continuing Its Ongoing Support for the Open Source Community. We’re not only a massive contributor to open source, but we also work hard to invest in the community at large.
[article] The End of CI/CD Pipelines: The Dawn of Agentic DevOps. I haven’t seen this point articulated like this, and I liked it. Either go all-in on agentic workflows, or stay with human-centered deterministic scripts. But don’t live in the squishy middle.
[blog] Firefly: Illuminating the path to nanosecond-level clock sync in the data center. It takes some crazy engineering to keep clocks in sync. This is a wild post about what we do.
[article] A Blog Post About COBOL Just Cost IBM $30 Billion. Here’s What Actually Happened. The services business will change. I don’t think we yet know how. But the markets has a quick reaction to Anthropic’s post about modernizing COBOL. Fintan has a good take too.
[blog] Flutter & Dart’s 2026 roadmap. Exciting plans for this pair. Generative UIs are going to be a big thing soon.
[blog] The Disintermediation of Databases. Rachel throws out a few hypotheses about the database market, and these feel spot on.
[blog] Powering the New Microsoft Agent Framework with Gemini 3.x. Use whatever framework gets you fired up. For .NET devs, that’ll likely be Microsoft’s Agent Framework. Good look here at making it work with non-OpenAI models.
[blog] Building a Faster GCP Kill Switch: Leveraging Cloud Monitoring Instead of Billing Data. In an ideal world, your cloud consumption would immediately turn into billing data. But the reality is trickier given how consumption data gets processed. So this person showed how to use monitoring metrics to get an early signal.
[article] The reason big tech is giving away AI agent frameworks. Sure, we’re all giving you frameworks so that it’s easier to use our respective stacks. Bet on higher order things like MCP and A2A to insulate yourself.
[blog] How to Manage Your Firestore Database with Natural Language via Firestore MCP Server: Step-by-Step Examples. I can’t say I’ve seen DBAs talking about doing database ops with agentic CLIs, but it seems like a solid use case. This isn’t necessarily ops, but gives a glimpse of what’s possible.
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