I suspect user facing/fast moving code (UX layer) will move to dynamic systems with fast iteration times. Infra layer will move towards safe systems level environments like Rust. I'm not sure where Java/C# lands in all of this - it's kind of the middle ground between these two worlds but the tradeoffs change drastically with LLMs - my gut feeling says that TS/Python is good enough for UX work and Rust is better for systems work so it gets less popular going forward.

[1] https://avi.press/posts/2026-07-10-after-7-years-in-producti...

What profit ? They are blatantly focusing on investment narratives, politics, control, stifling competition. Profit is like a footnote at this point.

I have legacy endpoints that are no longer used in practice, there for historical reasons, intertwined with existing code etc. They might be marked obsolete, services implementing it are not - agent greps those, builds off of them - produces half legacy garbage.

Linters only handle trivial cases most of us already solved.

Industry trends spread in all roles ?

At this point I will not do any dev outside of a container - so many things can be supply chained in the OSS dev stack it's just not worth it, and once you get used to developing in containers it's actually a lot cleaner to move between hosts - you're essentially treating your client as a remote terminal.

If you're doing web dev work in this day an age SSH with tmux or some editor with SSH server support should be your dev setup.

I'm in the middle of remodeling a new apartment and all my switches are smart. I won't even have physical switches for some fixtures like window rollers.

I would have preferred Siri because one less provider but it's just unbelievably bad for this day and age.

100% of the time turns of all the lights in children's bedroom. Alexa has no problem with this.

Disappointing to say the least. Completely useless, I was going to get an Android this year on upgrade cycle. Will check this out first.

Rust can only prove a limited subset of correct programs to be safe, when you're doing bare metal stuff you've often not in that subsystem and drop down to unsafe. I'm guessing there's always stuff that's not perf critical and can live in Rust sandbox - so not saying no wins - but it doesn't sound like Rust is a no-brainer.

Every model release now has been straight price increases since what GPT 4 ? When was the last time a new flagship model decreased prices compared to the previous one ?

Then I just iterate with LLM - I let it start writing stuff in YOLO mode and check on what it's doing in the code steering it in the direction I want.

Usually the code LLM generates will work but is kind of garbage - but I can easily steer it towards better implementations.

Sometimes using an LLM is theoretically slower than hand-rolling - if I just sat down and focused I could outperform the iteration and the waiting, especially considering how stupid agents are at running expensive builds/test suites (with a bunch of explicit instructions in skills/claude/agents.md). But the practical improvement of going with LLM is that you have a bunch of thinking traces saved as a part of your iteration proces - it's really easy to get back into flow. This is a huge productivity win for me given how many interruptions I have in my work day. Like so many people like to point out - writing code ends up being less and less of your time as you level up in your career.