Conda is a delight to use. Proper dependency resolution, fast installs, and MKL builds of numpy by default!
miniblog.
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LLMs seem to handle dependency upgrades really well.
The task is well-specified, there's usually a build/test suite to check correctness of the modifications, and there's often a changelog they can consume too.
I made some changes to a node express project that I haven't touched in almost five years. I was pleasantly surprised that I only needed to update one dependency to get it working again!
(It was sqlite3, which is a native dependency using node-gyp.)
I've been reading about the object-capability model as seen in the E programming language.
It reminds me of dependency injection, but used pervasively. Rather than calling static methods, you pass in object arguments and call methods in them.