Daily Reading List – June 5, 2026 (#799)

Just got home after an 18-hour travel day. Air France provided the best international wifi of my life. Super fast the whole time. See you Monday!

[blog] Announcing Angular v22. Three big features reach a stable status. The Angular team also delivered a handful of capabilities that make it better for AI apps and agentic coding.

[blog] Gemma 4 12B: The Developer Guide. Find some useful details about this small, portable, and mighty model.

[article] The token bill comes due: Inside the industry scramble to manage AI’s runaway costs. This conversation went from a growl to a roar this week. All off a sudden, token costs are a legit line item expense, and vendors are scrambling to respond accordingly. You know it’s serious when we get a new Foundation!

[blog] The Many Deaths and Rebirths of .NET. Has any programming language/framework had the funky history of .NET? I can’t think of one.

[article] Wells Fargo CEO: AI’s effect on employment is ‘complicated’. Some clear-eyed thinking here. Don’t upend or reconfigure your entire organization until you know what’s possible, and what you’re aiming for.

[blog] Migrating to Antigravity CLI. Moving on from the Gemini CLI? This has the key steps, and also flags a few pretty cool features of the Antigravity CLI.

[blog] What Bun Can Tell Us About AI, Open Source and Anthropic. What does it mean that this wildly popular JavaScript runtime has mostly AI contributors instead of human? This and more is discussed by Steve in this interesting post.

[blog] From Flutter to Backend: How to Build and Ship Production REST APIs with Dart and Shelf. This is a legit deep dive that goes beyond “hello world.” Middleware, authentication, data handling, and more.

[blog] Hybrid AI in Flutter: Routing Between On-Device and Cloud Models. It doesn’t have to be local OR cloud. You can use a mix of both with smart routing.

[blog] Build your own Flutter GenUI solution with Gemini structured outputs. One more Flutter piece today. It’s long, but I like the conclusion that the “thinking” was the hardest part.

[article] Engineering Leaders, You Should Be Worried If Your Team Isn’t Pushing Back. Silence from your team doesn’t mean everyone agrees. Or that the volume equals clarity. Good reminder!

[blog] Scaling AI Agents: A Step-by-Step Guide to Deploying ADK on GKE Autopilot. Very good end-to-end look of building, containerizing, deploying, and configuring an agent on Kubernetes.

[article] How People Are Really Using AI in 2026. Some red flags on losing our intentions and outsourcing our thinking. We’re also replacing human connections that provide emotional support. Not great. There are excellent uses, but we’re probably going to go too far before we pull back to the right place.

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