Daily Reading List – February 19, 2025 (#496)

We’re deep into Google Cloud Next ’25 planning with the event just 30-something business days away. I do hope I’ll see a handful of you at the event. It should be quite the FOMO-inducing gathering.

[article] 5 things every new manager needs to do. Good advice. If you’re not at least a little freaked out when you first become a manager, there’s something wrong.

[article] Top 5 Uses of WebAssembly for Web Developers. We’re at a decade of Wasm, and it still feels like it’s hunting for a killer use case. But, it definitely has utility, and this may inspire you.

[blog] Accelerate your cloud journey using a well-architected, principles-based framework. We should be noisy about this artifact. Our Google Cloud Architecture Framework is solid, and incorporates a lot of Google and industry best practices.

[article] 10 Tips for Turning Around a Platform Team. Wow, this isn’t sugar-coated at all. John delivers some frank advice for those running platform teams.

[blog] How Does Trae, the 100% Free AI IDE, Compare to Cursor? We’re in the early stages of the most unsettled IDE environment that I can recall. Don’t commit to any single choice at this point; you might follow your favorite model around to different surfaces!

[blog] Top 10 Backend Frameworks: The Pros, Cons, and Everything In Between. You have no shortage of backend (web) frameworks to choose from. This post looks at the top options in each language ecosystem.

[blog] 50 Years of Travel Tips. I’ve done some travel, but nothing approaching this. Here’s some great insight for those who want to see the world the right way.

[blog] To avoid being replaced by LLMs, do what they can’t. Sean offers some short term, medium term, and long-term guidance for developers. We’ll see if it plays out this way.

[article] Elon Musk just released an AI that’s smarter than ChatGPT — here’s why that matters. With enough resources and desire, virtually anything can happen in the digital space right now. Impressive accomplishment here.

[blog] How we aggregate 70 billion prices to show price context to our users. Neat story, and a good example of why you need cloud scale and some creativity to solve many problems.

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