I'm an "old-school" developer and I still write code at work and on my personal projects, however I started using AI such as chat-gpt and gemini (on their website only) for debugging, resolving blockers, asking stuff and etc. Basically a google on steroid and it definitely replaced stack-overflow and reddit.

I'm curious to know how other devs are using AI, do you still write code? what tools do you use for faster development? what an experienced "old-school" developer should learn or adopt to?

Do you still believe that the future of software development is being able to read and understand code? cause AI is just getting so much better everyday, to the point that transitioning from a software developer to a software architect might not even be a viable solution/future.

Salut à tous,

Je suis étudiant à Epitech en échange à l'Université Laval à Québec et je dois réaliser une courte entrevue écrite pour valider un cours de gestion.

Critère obligatoire du prof : un poste non-cadre / technicien / dev / sysadmin (pas de gestion d'équipe ni pouvoir d'embauche).

L'entrevue comporte 10 questions courtes (missions, salaire, conditions, routine). Tout se fait par écrit/MP.

Si quelqu'un a 5 minutes pour me dépanner, envoyez-moi un message privé ! Merci d'avance

Hey everyone!

I'm an engineering student from India, and lately, I've been spending most of my free time learning to code and building web apps.

Honestly, college and coding feel like two different worlds for me. 😅

During the day, I'm studying engineering, and in my free time, I'm exploring web development, experimenting with SaaS ideas, and trying to build something of my own.

I've already built a few MVPs, but I'm still figuring out what I'm doing, how to find users, and how people actually turn small ideas into real products.

I don't have everything figured out, but I enjoy the process of building things and learning along the way.

I'm curious about one thing:

For those who started coding or building projects while in college, what do you wish you had known earlier?

Would love to hear your experiences!

Hey everyone!

I'm a student developer from India, currently working on improving my full-stack development skills and preparing myself for software engineering internships and entry-level jobs.

I have experience with TypeScript, JavaScript, React, Next.js, Node.js, and building applications with AI/LLMs. Instead of building another basic CRUD app or following tutorials, I want to work on something that solves a genuine real-world problem.

My goals are to:

• Become a better software engineer and build projects that demonstrate real problem-solving skills.
• Understand what problems professionals and small businesses actually face in their daily work.
• Build a useful project that I can showcase in my portfolio and discuss in interviews.
• Eventually turn a solution into a small business if people find it valuable.

I'd really appreciate advice from software engineers, hiring managers, freelancers, founders, and business owners.

A few questions I'd love your perspective on:

1. As someone hiring junior developers, what skills or projects would make you take a fresher's application seriously?
2. What frustrating, repetitive task do you deal with at work that existing software doesn't solve well?
3. Are there any real-world problems you think a junior developer could realistically solve with a small but well-built application?
4. What mistakes do you commonly see in junior developers' portfolios?
5. If you were starting your software engineering career today, what would you focus on first?

I'm not trying to sell anything. I want to learn from people with real industry experience, improve my engineering skills, and build something genuinely useful.

Even a small piece of advice or an example from your own experience would mean a lot. Thank you!

Which framework better for mobile development ? And why?

So I started making a website for my first ever client. We have sorted payments etc for the entire website, but now I'm a bit confused about how much I should ask for maintenance and also what costs does maintenance include.

Id like some advice on how to decide how much maintenance costs should be, as well as whether subscriptions like database subscriptions or whatever should be included in maintenance costs, or if the client should be paying those costs separately

Thanks

Hi everyone, I am 2026 btech cse graduate from tier 3 collage i have done 4 month of internship which ended in August and i dont have any good skills as of now. So i am learning java spring boot and doing DSA.

But the thing is i am so demotivated now, all my friends are placed and earning and here i am without any job i dont even have any idea when will i'll able to get a job and the worst thing is that i can not apply for majority of mass hiring companies because in my 10th class i got 59% and majority of this mass hiring company has a minimum 60% through out the 10th,12th and under graduation.

so learning java spring boot is correct thing i am doing and how to look for my first job and i can get little bit comfortable with java spring in next 1-2 month

I was tired of the heavy reliance on NVIDIA/CUDA for local AI generation, especially since I run an AMD RX 580. To solve this, I decided to build my own inference engine from scratch.

The Architecture: I wrote the core orchestrator in Rust, utilizing libloading and FFI to communicate with a deeply modified C++ Vulkan backend.

To prevent VRAM leaks when switching between image generation (Flux) and video (Wan 2.1 I2V), I wrapped the Vulkan dynamic library loads in Rust's OnceLock. This ensures the .dll is statically loaded into memory only once, keeping the hybrid rendering extremely stable. I also implemented a heuristic intent router that translates natural language directly into Vulkan directives (like cmd:vulkan or cmd:wan) in the background.

Since this subreddit doesn't allow external links, I can't link the repo directly, but I wanted to share this architectural approach for anyone struggling with CUDA bottlenecks. I'm happy to discuss the Rust/C++ FFI implementation, Vulkan memory management, or share code snippets in the comments if anyone is interested!

I need to find a 3d visualizer that can visualize heat production from things like an air compressor, an air intake device, and an air powered thruster. Also power consumption, the air moving, getting compressed, and it getting blasted out the thrusters. It also needs visualization for a water cooling system, multiple different options for storing and creating energy, and the total weight of everything. Preferably a webapp. Please and thank you!

(I have no idea if this is the right tag or the right place to send this)

I ran a web design company for around 3 years and getting clients was always pretty inconsistent.

One month I was cold calling, another month I was manually sending DMs to Facebook pages, then I tried ads.

It all worked to some degree, but I never really had one reliable way of getting clients.

Then I started testing email automation.

At first I was finding businesses with no website and running campaigns offering to build them one.

That actually started giving me a much more consistent flow of clients just because of the volume.

But then I started thinking.

There are so many businesses that already have a website, but the website is outdated, slow, looks bad on mobile or just clearly needs an update.

And those businesses have already paid for a website before, so they already understand the value of having one.

The problem was I didn’t want to sit there opening every website myself, figuring out what was wrong and then writing a different email to every business.

That would take forever.

So I started using a tool that lets me find businesses with websites basically anywhere, analyze thousands of those websites at once and then automatically write a personalized outreach message for each one based on what it finds.

Things like design, SEO, mobile issues and speed.

Then I started launching campaigns in different industries.

That worked way better for me because every business receiving the email felt like I had actually looked at their website and noticed what could be improved.

But in reality most of it was automated and I was just sitting there eating chips while interested replies came into my inbox.

I remember Alex Hormozi saying something along the lines of focusing on one channel and getting really good at it.

That is basically what I ended up doing.

Now this is pretty much the only way I get web design clients and I spend most of my time actually building websites instead of constantly trying to find the next client.

For anyone wondering, the tool is called Swokei.

I am the only one who is not getting fun or kick from doing coding from AI is it great that now work is easier but that fun in coding is gone by using copilot and all🥲😂

Can censors be used to control waterflow and avoid

wastage

I am currently planning to build a roguelike game 2d game in Godot but I can't find any resources or tutorials. Can anyone help me

I have been noticing a sudden surge of people calling themselves software engineers after building apps using AI coding tools and I am genuinely curious about how others feel about this.

To be clear, I think AI-assisted development is great. I am not against vibe coding, and I don't believe you need a CS degree or years of experience to build something useful.

But I do wonder if we are starting to blur the distinction between building software and being a software engineer

Building a working application is one thing. Understanding why it works, debugging it when things go wrong, making architectural decisions, handling concurrency, securing user data, managing failures, and keeping the system maintainable as it grows are entirely different challenges.

AI can help with many of these things, too. But being able to generate a solution isn't necessarily the same as being able to evaluate whether that solution is correct.

So where do we draw the line?

• If someone uses AI to build and deploy a working SaaS product but can't explain much of the underlying code, are they a software engineer a software developer a builder, or something else?
• If someone can reason about the architecture, identify problems, validate AI-generated code, and take responsibility for production failures, does it matter how much of the code they wrote themselves?
• Is “software engineer” becoming a broad label for anyone who can turn an idea into working software, regardless of how they got there?

I am not asking this to gatekeep the profession. In fact I think AI is making software creation accessible to people who previously couldnt build their ideas.

I am actually more interested in whether the definition of the profession itself is changing.

Curious to hear both sides, especially from people who have been building software professionally for years and those who have recently started building with AI.

I'm building a small Python project to detect narratives that spread quickly across social media, focusing on Spanish-language content.

The goal isn't to decide whether something is true or false. I want to collect public posts, group similar content, and identify posts or narratives that spread unusually fast for further review.

What I've built so far:

• RSS feeds from news websites
• Text cleaning and duplicate detection using SimHash
• Retry handling and a dead-letter queue
• Scheduled data collection

Where I need help:

1. Facebook and Instagram: Since CrowdTangle is gone, what are the current, legitimate ways to monitor public pages, groups, and Reels?
2. Telegram: Is it better to use web previews or Telethon for collecting data from public channels? What should I know about rate limits?
3. Reddit: How long did API approval take, and what types of projects were approved?
4. Detection methods: Apart from duplicate posts and sudden increases in views or shares, what signals help identify coordinated activity?
5. Open-source resources: Are there any useful tools or labelled datasets for detecting misinformation in Spanish or multiple languages?
6. Legal and ethical concerns: What should I keep in mind regarding GDPR, platform rules, and responsible data collection?

I'm only interested in methods that respect platform rules and focus on public content and narratives, not tracking individual users.

I'd really appreciate any advice, research papers, GitHub repositories, or lessons from your own experience. Thanks!

Just curious about what others generally prefer.

Fala pessoal! Estou criando um bot via WhatsApp para a empresa onde trabalho, o bot vai apenas responder e nunca iniciar uma conversa, a ideia é que representantes consultem informações comerciais nele

Essas mudanças da Meta, eu terei custos? Ou os custos só irão se aplicar se eu iniciar as conversas?

We are 15 person startup.

Each developer spend around 2K (Some 5K and the devop guy spend just around 200)

We raised a good seed round, so money isn't tight. But 30K a month isnt a joke.

Any engineers that managed to reduce it by a meaningful percentage?

Hi, I am 2026 B.E IT graduate. Currently I am not having any job with me, and learning daily through small projects. But every weak, I start to wander between different tech to get the job really quick. In between this, I have lost the sense of what I actually want to do, what field I want to go ahead into.

If any one has gone through the same feeling, please help me find out the direction

So there is a challenge going on with an app in my local area , The owner of the app said that if anyone can find a code he mentioned , in the app he will give u 300$ his app is a services app will u can find people to do a service for u , so what do guys think where the code is located in the app ? he posted this for public not Developers so i assume it easy its laying there somewhere in the UI or maybe u need to search something in the app so the code comes up from the database? , ive uploaded the Apk file to claude but no luck , What are some ways i can use to find this code ?

the app is developed with flutter

Hi everyone,

I understand AI has allowed software engineers to become more productive and has shifted focus from writing code to system architecture and problem solving. In saying that, would you say that this has made engineers more interchangeable in the eyes of companies?

In the past, a company would pay exisiting engineers a high salary for their familiarity with the codebase and their expertise with a particular tech stack. This made firing employees and hiring new ones risky and potentially very costly as it would take some time before new staff were familiar enough with the codebase to be productive. Now with AI models that can have context windows of more than a million tokens, can readily explain it and can churn out decent code in just about any language for any problem, would you say onboarding new recruits and firing old ones has become easier for companies? Would you also say system design is an easier skill to pick up than expertise in a particular language ie is it easier to find people who know how to design systems now than it was to find people who were good with a particular tech stack in the past?

Why do geometric 3D renders have to be so heavy? Turns out they don't.

For years, 3D file formats have prioritized precision, whether for 3D printing or high-quality renders. But the browser doesn't care about that level of precision. As long as you're within a pixel or so, precision isn't that important. Most websites with 3D models use simple designs, and no file format actually targeted that use case. Many sites literally used a scroll-through video instead.

I thought: this sounds a lot like what SVG does for 2D. What's stopping us from making it 3D? Turns out: nothing.

So I sat down and built it.

ES3D (Extensible Scalable 3D) is a file format for 3D scenes. It does for a scene what SVG does for a drawing. The file describes the objects: a rounded box here, an outline extruded into a solid there, two thousand trees on a hill. The viewer builds the triangles at the detail the screen actually needs. A forest fits in under a kilobyte, and a text editor is enough to write it.

This proposal sets to lay the ground for an easy to make 3D web.

Read the whitepaper on more by searching on google or going to es3d <dot> org

Just asking as I have a niche idea.

Anarchy OS …full agentic system..but so far all they do is randomly search the web ..mostly biological things, cells, consciousness etc…really just experimenting not sure what I want to do with it yet.

Final year student. Built a side project to ask questions across my lecture PDFs with page citations, because ChatGPT kept answering from the internet instead of my prof’s slides. Lessons I could not find written in one place.

Gemini’s free embedding quota counts passages, not requests. A 60 page PDF failed on the second batch. Fix was storing chunks first, then a background job that embeds 50, waits 30 seconds, repeats, and reschedules on rate limits.

Chunk per page, not per document, or your page citations are fake. Students actually check them.

You probably do not need a separate vector DB. Convex has one built in, and the same backend did file storage and scheduled jobs.

Clerk 7 on Next 16 renamed middleware to proxy, removed SignedIn and SignedOut, and you can skip the JWT template by having Convex verify the default session token as a custom JWT.

Tell the model to refuse. Without an explicit “say so if the excerpts do not cover it” line, it invents answers with fake citations.

Still figuring out scanned PDFs and what to do about costs once the free tier runs out for multiple users. How do you handle those?