This is an interesting way to frame the problem. We can't rely too much on LLMs for computer science problems without loosing important skills and hindering learning. This is to be kept in mind.

A good reminder that you should always bring several perspectives when teaching something. This a a simple framework which can be used widely in our field.

Be wary of the unproven claims that using LLMs necessarily leads to productivity gains. The impacts might be negative.

Definitely a good list of lessons to learn when you're a junior developer.

Nice primer on the impact of too many branches in your code on the CPU. This is sometimes a good way to boost performance when you're mindful about that.

Nice trick for cleaner interruptible python scripts indeed.

A bit long and a bit too much framed in a "vs Python" fashion for my taste. That said it contains good advice on how to prototype or start simple with Rust. It's aligned with some of the advice I give as well. People tend to turn to low level details too quickly forcing themselves into a corner. There are better ways to handle it.

This is definitely a neat trick. This way you can flush stdout regularly without modifying the code of a command.

It's a not niche indeed but has its place in some applications.

Another rebuttal of Clean Code. Most of it makes sense if not overdone. There's the usual confusion around the "unit tests" term though, so take that section with a pinch of salt.

This is a good point. Idiosyncrasies are not necessarily a bad thing for naming things. Natural languages are fickle friends, you might need to rely to specific metaphors in order to disambiguate.

Interesting musing on the heuristics we use when solving problems. There are good advices in there to make progress and become a better developer.

Good reminder that /tmp has many security flaws built in.

Definitely a sound advice. You don't want to be confused when debugging something because it looks too much like a variable or a property name.

This is too often overlooked, but table lookups can help with performance if done well.

Finally a path forward for logic programming? An opportunity to evolve beyond Prolog and its variants? Good food for thought.

Nice paper which debunks the choice of the language as an important factor for energy efficiency. The previous papers had a too simple model, this one puts forth a more complete causal model. There are many factors at play regarding energy efficiency, the programming language itself is not really one of them.

If you still needed to be convinced you need to use std::array and std::span, here is the proof.

Interesting view about the LSP specification, where it shines, and where it falls short.

Good set of advices on naming variables, types, etc. Indeed this makes things easier to find in code bases.