Two way data bindings when you need them makes #datastar an absolute joy to work with.

Tech CEOs positions have never been more precarious.

Thoroughly enjoyed this episode!

For people using AI in commercial game development: I'd be interested in hearing the best arguments as to why you think people should pay for the resulting game instead of pirating it. Concisely, if you pirated the inputs, why shouldn't they pirate the output?

.@anders_murphy

Optimistic updates are the worst idea that is direct spread by SPA advocates that don't work on real world systems that effect people directly.

RT @levelsio: I think the challenge is that everyone can now build apps But 1) almost nobody has distribution (like an audience), or 2)…

RT @toly: AI is smart enough to improve without people, but not smart enough to avoid a huge data center liability

Have stupid KPIs wind stupid prices

Good software is invisible. That's why all software is bad because the managers demand visibility of programmers work.

A life-changing amount of money was wasted on tokens that didn’t produce anything of value

Goldman Sachs forcing every pension fund to buy AI companies with $10 billion net losses at $1 trillion valuations

Either way I'll continue to promote fixing the problem instead of given into the collapse. This is definitely getting bookmarked to go in my talk for softwareshould.work/ A great talk that covers this pre AI youtube.com/watch?v=ZSRHeXYD…

Sorry, we can't afford a PR department, I thought we did it for the love of the game

@elias_de_jong inspired by the excellent @Anders' "billion checkboxes", I present to you: Billion Characters!!!! Just kidding, I did not actually build that. Because I built A TRILLION CHARACTERS!!!! RIGHT NOW. IN YOUR BROWSER. Our community is based as fuck

I've got an agent in a loop optimizing a renderer with the goal to minimize frame times (and tests to measure). It got times down from 88ms to 2ms and allocations down from ~150K to 500. Sounds good, right? Wrong. This is exactly why agent psychosis is a big fucking problem. As an experiment, I rewrote the Ghostty core render state in Go, with access to identically laid out data structures as Ghostty and the exact same validation tests. I made a purposely naive renderer (simple, correct, but slow). 88ms per frame with 150,000 allocations (horrendous, lol)! I then kickstarted a Ralph loop to bring the frame times down. I told it it can't modify input data structures or the public API or tests (they're correct), but it can do anything else it wants. It got to work. It has worked for about 4 hours. I've spent around $350 on this experiment so far. The results? 88ms => 1.5ms 150K allocs => ~500 allocs Incredible right? Nope. My hand-written renderer I ported has frame times (same benchmark) of ~20us (0.020ms) and 0 allocations in the update path. This is the problem with psychosis and lacking systems understanding. If you don't understand the system, you're going to accept that this is an incredible result. If you understand the system, you'll see better solutions immediately and can do roughly 75x better on throughput. The people who blindly trust agent output are in the former camp. They're sheeple, overdrinking from a fountain of mediocrity. Standard disclaimer: I use AI all the time. I like AI. The point I'm making is to not blindly accept results. Think. Analyze. Learn.

They were calling everybody Luddites for even slightly criticizing any current gen AI practices. Well, there you. Real Luddites are coming for your Data Centers. A self-fulfilling prophecy.

We are the most efficient intelligence on earth and its not even close

It’s 2026. Do you understand and have an engineer independently review your code (apart from autonomous testing)? Do you agree that critical code should be simple, a pleasure for generations to read and maintain? I guess what I am asking is: Are you tigerstyle.dev?