u/NoTutor4458

i don't understand what's the point of developing os if you can't run it on modern hardware?

How hard would it be to fork and modify layout and UI of vscode? Does anyone have some experience with it?

How hard would it be to fork and modify layout and UI of vscode? Does anyone have some experience with it?

VS Code is an Electron app, but from what I understand, its UI isn't built with React, Vue, Angular, etc. It seems to use HTML/CSS/JavaScript/TypeScript more directly.

So how does VS Code create such a large, highly dynamic UI without a frontend framework?

i want to have some good projects for portfolio. what projects would you suggest for this languages/frameworks:

1. react

2. go

3. maybe fullstack (go + react)?

4. c

5. x86 asm

I recently wrote my own logger package with Info(), Warning(), and Error() methods.

I am wondering about logging best practices in Go applications. Do you usually log directly in handlers, or do you log inside functions called by the handler (services, database functions, etc.)?

I'm a programmer and I'm comfortable with coding, but I have almost no networking or server administration experience.

I want to host my own web app on either a Raspberry Pi or an old laptop instead of using a cloud provider.

Is this safe to do if I expose it to the internet?

I’m building an app that combines multiple AI models in one place.

I’m curious: what features do you wish AI apps had that current ones are missing?

If I can run decent AI models locally, that would be a plus, but coding performance is the main priority here. Right now.

I've been seeing many solo developers build impressive products using AI-assisted coding ("vibe coding"). Some people claim they can generate thousands or even 10,000+ lines of code per day with AI tools.

I'm curious how this compares to developers working professionally at larger companies or on serious production systems.

Do experienced engineers also work this way? Do they use AI to generate large parts of their codebase, or is AI mainly used for things like debugging, refactoring, writing tests, documentation, and learning?

How has AI actually changed the workflow of professional developers?

Would love to hear from people who work as software engineers — how do you use AI in your daily development process? Does it make you write more code, or does it mostly help you think and solve problems faster?

I’m trying to find a backend framework that feels productive and scalable.

I have tried .NET, and it’s not bad, but I would prefer a TypeScript-based framework.

I also tried NestJS, and I didn’t really like it. It feels like I have to write a lot of boilerplate code and create many files/classes for simple things. I don’t really understand the purpose of modules, and even for simple features I often need to register things in multiple places (modules, constructors, etc.) just to make them work.

What other alternatives would you recommend? I’m looking for something that is fast, scalable, has a good ecosystem, and doesn’t add unnecessary complexity.

What backend frameworks would you recommend?

new to react, so providing either corrected code or just concept that i should look into would be helpful :)

i want to change height of the app when phone keyboard uppears so it doesnt overlay on website by using VisualViewport API.
i am sure only thing that i have to do now is to rerender component when height is changed, so how can i do that?

export default function NewChat() {
  return (
    <div
      className={styles.wrapper}
      style={{ height: `${visualViewport?.height}px` }}
    >
      <Prompt />
    </div>
  );
}

i am using 100dvh as height of my page.

whats the best way to fix this?

is interactive-widget=resizes-content usually used in production, or is there a better way to handle mobile viewport resizing issues (for example when phone keyboard comes up i dont want it to cover parts of website)? What approach do you normally used?

I'm looking for open-source unity third-person shooter games that I can study and learn from. I'm interested in projects with well-structured code, character movement, camera systems, shooting mechanics, AI, or overall game architecture. any recomendations?

What is the usual approach in professional projects? Do most companies use runtime translations, build-time translations, or a mix of both? What are the main advantages and disadvantages of each approach?

My main concern with runtime translation is SEO, and with build-time translation is deployment complexity and the fact that switching languages requires reloading the whole site. I don't know wich one to pick...

I'm building a web application that mainly acts as an AI wrapper. The backend is built with .NET and Entity Framework, and for now I plan to run everything on a single server.

The app isn't just forwarding requests to an AI provider—it also stores and manages user accounts, conversations, settings, and other application data in a database.

I'm trying to get a rough idea of what kind of scale a setup like this can handle before I'd need to start thinking about multiple servers, load balancers, caching, etc.

Roughly how many concurrent users or requests per second could a single .NET + Entity Framework backend handle in a real-world production environment?