The magic of metric, micro frontends, and breaking leases on Silicon Valley offices

The magic of metric, micro frontends, and breaking leases on Silicon Valley offices

Every experienced software engineer can tell you a story about a standardization effort that ended up causing more problems than it solved. Queen Elizabeth's decree adding 280 feet to each mile made it easy to divide up acres, but has haunted those of us stuck with Imperial units ever since.

Sara dives into micro frontend services and how they can help to add agility to a modern development team. There is a nice article on the topic here, and Sara found it through the Thought Works Tech Radar.

Pinterest paid just under $90 million dollars to break its lease in San Francisco. Paul and Sara are hearing about lots of developers who are fleeing major cities, and it seems clear that Pinterest won't be the last company to abandon expansion plans or ditch fancy corporate offices for at least the next few years.

Our lifeboat badge of the week the week goes to Sravya Nagumalli, who explained why Angular is associated with the Single Page App and just what an SPA is anyway. Thanks for sharing some knowledge, Sravya!

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Programming problems that seem easy, but aren't, featuring Jon Skeet

Programming problems that seem easy, but aren't, featuring Jon Skeet

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Defending the realm: Trust and safety at Stack Overflow

Defending the realm: Trust and safety at Stack Overflow

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"My job is going to change in a dramatic way”: Exploring the future of the internet with Cloudflare

Dane shares his excitement about the Model Context Protocol (MCP), exploring its potential impact on the future of technology. The discussion turns to the growing need for sustainable content monetiza...

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After 30 years, Java is still brewing up new features

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Connect with Georges on LinkedIn and see his work on inside.java.Listen to our previous episode with Georges, a celebration of Java’s 25th anniversary. Today we’re shouting out the age-old question Wh...

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“We’re not worried about compute anymore”: The future of AI models

“We’re not worried about compute anymore”: The future of AI models

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