vbezhenar

That said, I think that it's better to use alternative approach. Use unencrypted signed system partition which presents login screen. After user typed their username and password, only user home gets decrypted. This scheme does not require TPM and only uses secure boot to ensure that system partition has not been altered. I think that macOS uses similar approach.

Because I deny that? It's not fun for me.

> would a carpenter shop accept employees rejecting the power saw in favour of a hand saw to retain their artisanal capability?

Why not? If that makes enough money to keep going.

You might argue that in theoretical ideal market companies who're not utilizing every possible trick to improve productivity (including AI) will lose competition, but let's be real, a lot of companies are horribly inefficient and that does not make them bankrupt. The world of producing software is complicated.

I know that I deliver. When I'm asked to write a code, I deliver it and I responsible for it. I enjoy the process and I can support this code. I can't deliver with AI. I don't know what it'll generate. I don't know how much time would it take to iterate to the result that I precisely want. So I can't longer be responsible for my own output. Or I'd spend more time baby-sitting AI than it would take me to write the code. That's my position. Maybe I'm wrong, they'll fire me and I'll retire, who knows. AI hype is real and my boss often copy&pasting ChatGPT asking me to argue with it. That's super stupid and irritating.

I would rather spend money on some pseudo-local inference (when cloud company manages everything for me and I just can specify some open source model and pay for GPU usage).

And probably `echo -o output-file` as well.

So extracting information from this text with regexps often makes perfect sense.

I don't really know if AI makes programming easier or harder. At one side, you can explore any topic with AI. This is super powerful ability when it comes to learning. At another side, the temptation to offload your work to AI is big and if you do that, you'll learn nothing. So it comes down to a person type, I guess. Some people will use AI to learn and some people will use AI to avoid learning, both behaviours are empowered.

I have simple and useless answer how to solve that. Throw it all out. Start from the scratch. Start with simple CPU. Start with simple OS. Start with simple protocols. Do not write frameworks. Make the number of layers between your code and hardware as small as possible. So it's actually possible to understand it all. Right now the number of abstraction layers is too big. Of course nobody's going to do that, people will put more abstraction layers and it'll work, it always works. But that sucks. Software stack was much simpler 20-30 years ago. We didn't even had source control, I was the young developer who introduced subversion into our company, but we still delivered useful software.

User-facing side was written with Delphi 7 (quite a huge client application, it even had constructor to build new forms inside the application and GUI to build algorithms, like n8n of 90-s, I learned a lot working on that system).

I've used Java 6, then migrated to Java 7 to write some new components for that system with web UI. I was bad at Delphi and they didn't really care about consistency, so I went that route.

AFAIK this system is in use nowadays. They wanted to update it with modern database and other modern stuff 15 years ago. They wanted to update it every year since that, but every year this modernization project is postponed. So probably one day they'll replace everything, but so far it works.

I won't delve into details, but this system serves as a database of criminals and some other stuff for a small country, so it's actually quite important one.

TBH I don't think that AI could even build it. When I had to build it last time, the build consisted of several VMs. You had to build various DLLs and then build final application. Every part was built in a separate VM with separate installed Delphi components of a specific versions. It was a huge mess.

Install can be tricky indeed, but if you have installed system, it's easier.

This approach is explored by OpenSCAD. No need to reinvent the wheel. But parametric CAD is much more than that.

They are comparable because they provided a restricted sandbox to execute untrusted code.

> There's lots of CI or function runners that expose docker-like environments.

These are running inside VMs.

I've come up with using Java and XSLT. Java is installed in Github Runner image and there's built-in XSLT support in Java standard library. You can write HTML and use XSLT to add header, footer and do other processings if necessary.

So basically I want to generate a website in github runner without accessing network to install something else.

I guess one could just `cat header.html content.html footer.html` but that requires a lot of tiny things like extracting title from content and inserting it into header, etc. Nothing that lots of greps and seds couldn't handle, of course...

That's iOS 18.5, maybe they fixed it in later versions

https://developer.chrome.com/blog/persistent-permissions-for...