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sghaz

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The ZIP-first approach assumes a postal code can deterministically resolve the rest of the address, which is rarely true in practice since many codes map to multiple cities or large geographic areas. Making it reliable requires maintaining comprehensive, frequently updated postal datasets or integrating with external geocoding services, which introduces non-trivial operational complexity. Additionally, deviating from standard address field ordering can work against established user expectations and may degrade usability rather than improve it.

In larger systems, what looks like “overengineering” can be deliberate risk management. In my experience, senior engineers do get promoted for simplicity but only when they can articulate the trade-offs and the future costs they are avoiding.

How uv got so fast 7 months ago

Liked the focus on standards and ecosystem decisions rather than just “it’s fast because Rust.”

One small timeline nit: the article mentions PEP 517 as being from 2017, but the PEP itself was created in 2015. From the PEP header:

Created: 30-Sep-2015 [1]

It did see important revisions and wider adoption around 2017, so I assume that’s what was meant.

[1] https://peps.python.org/pep-0517/