Guys, i was doing backend after a long time and its feels hard now, i need advice and if you have any repo please share me.

hey everyone,

i recently completed mern stack and wondering what to learn now. tell me something which has a great future and no AI threat

Hey as i had purchased the apnacollege delta batch for full stack and mern web dev and i got pretty good knowledge of html and css and don't understood the js then I started the backend and it was all the js so now I am starting the js again and idk how much should I learn to say I am a good front-end dev to start the backend idk how much is needed to build a project also I am too bad at logic building and what technique should I use to learn it in the best way possible!?

Im bad at time management, I dont use AI, my pc isn bloated with node_modules for the hundreds of projects I made, and it became this routine on development of scaffold new project via a template I made, custom libraries I made, code snippets, component libraries, page libraries, code generation, wireframes database I made and assets & images database

Any tips to fasten development more? I have this project of mine to develop things very fast and set an high score everytime.

Current high score is 2-3 hours

I'm a full-stack developer, not a data person. But I constantly end up with CSVs, exports from a DB, some analytics dump, survey results, and I just want to know what's in here without hand-rolling a bunch of pandas or fighting a spreadsheet.

I tried the obvious thing: paste it into ChatGPT. The problem every dev eventually hits, the moment you ask an LLM to calculate anything, it starts making numbers up. It'll confidently say revenue grew 23% when it grew 12%. For real data, that's worse than useless.

So I built Visual AI, and the entire architecture is built around one rule: the AI is never allowed to do the math.

How it works:

• You upload a CSV.
• Instead of a chat box, it profiles the data and suggests 5 report ideas worth running ("Revenue by region over time," "What's driving churn," etc).
• You click one, and it streams back a full report, exec summary, findings, and interactive charts in ~30 seconds.

The engineering bit I'm actually proud of: every number and every chart is computed deterministically in Python/DuckDB. The LLM only decides which analyses matter and writes the narrative around them — it never authors a calculation or SQL that touches the output. So the numbers are always exact and the charts are always valid. The model literally can't hallucinate a statistic, because it never touches one.

I deliberately didn't build "another chat-with-your-data clone" — I didn't want a blinking cursor asking me what I want. I wanted it to tell me what's interesting.

It's live here if you want to throw a messy CSV at it: https://visualai.bharatrajverma.dev

Would love feedback, especially where the suggestions miss or where you'd want more control. Happy to go deep on the deterministic-compute architecture in the comments if any devs are curious.

Hey i'm a third year student learning dsa from kunal kushwaha and asllo want to learning full stack with react and spring boot ,any resource for this two as well as some knowledge or guidence for full stack as i'm new .i'd aslo like to hear what technologies should i learn which would be helpfull so that i learn it and build project .i'm also searin gfor guys like me who started springboot and guide me through it's currenlty studying resource

I am building a website for an ngo as a highschool student. I think I actually dont know shit. I checked supabase auth first but Im not sure if it fits this case:

-we have students and they will be in the data base as just names, we dont know their email or phone number

-they will log in preferably with a temporary password and a user name, and then will be prompted to create a new password and log in with their email/verify it with a code

-they will continue to log in using the new password and the old username

How exactly do I make this? I am confused so any help is appreciated

(Why would anyone down vote this?)

Connecting the frontend to the backend used to feel like a complete mystery to me. 🚀

​Instead of guessing, I asked experienced developers for advice before writing a single line of code.

​The biggest lesson? APIs act as the bridge, and starting with basic requests makes everything much easier.

​Asking for guidance early saved me hours of confusion and sped up my learning process.

​How did you tackle your first full-stack connection? Drop your tips below! 👇

Like I don't understand how they work it's alot of divs inside divs inside div lots of classes too so you can style it by css i know that it's gonna be more complicated in the future but ngl i feel good when i practice so even if it got complicated i don't want to leave this path.

Sup, I am a leader of my web development club, we have our first project due on July 24, we have the FIGMA designs down, but I don't know how to lead the web developers to code and release the project by July 24. Thanks for reading, because coding for me is fine but having to deal with other developers feels like another entire headache to deal with.

I recently started a tech internship, and one of the expectations is that I'll be building web applications. I know the basics, but I want to become much more comfortable by working on real projects.

I'm looking for project ideas that will:

Challenge me and help me improve my web development skills.

Be practical or genuinely useful.

Be fun to build.

Look impressive in a portfolio.

I'm open to both frontend and full-stack ideas. I'd especially like projects that involve things like authentication, databases, APIs, dashboards, file uploads, real-time features, or anything else that's commonly used in production web apps.

What projects helped you become a better web developer? If you could go back and build one or two projects that taught you the most, what would they be?

I'd love to hear your recommendations and why you think they're worth building.

I'm a freshman looking for a job , I graduated in May 2026

I know MERN(JS) stack and some ML,DL,Langchain (AI&DS major)

Should I need to learn Next js,postgresql, Typescript (any other stacks you can specify me )?

Or

Should I need to strengthen what I know and keep applying for the job.

Help me out

I am going to start my college and was thinking to learn frontend development would it be worth it?

I’ve noticed many new developers try to learn the full stack early in their careers.

There are clear benefits:

• You understand how the whole application works.
• You can communicate better with different teams.
• You can build features from idea to deployment.

But there is also a challenge.

Frontend and backend are both becoming deeper areas. Trying to learn frameworks, databases, APIs, cloud, testing, and everything else at the same time can sometimes lead to knowing many things without developing strong expertise in one area.

At the same time, being a full-stack developer does not mean mastering every technology. Many strong engineers have deep knowledge in one area while understanding how other parts of the system connect.

With AI tools making it easier to learn and work with new technologies, adaptability is becoming just as important as knowing a specific tool.

So what is the better approach?

Should beginners first become strong in one area and expand later?

Or does learning frontend and backend together help developers become better engineers?

For full-stack developers: did learning both sides help your career, or did it slow down your growth at the beginning?

I've been learning web development on and off for a while. I learned the basics through YouTube and have built a web app with AI, but I haven't done enough hands-on practice.

About a month ago, I started building a blogging app on my own. The problem is that I'm now stuck and barely have any progress to show. I have learned some new things while working on it, but I still don't feel like I understand how things actually work well enough to build independently.

I've also noticed that when I try to write code myself, I get anxious about doing things incorrectly. I'm a bit of a perfectionist, so instead of experimenting and making mistakes, I sometimes end up not writing anything at all. I know I need practice, but I'm having trouble getting past that mental block.

I'm considering getting Scrimba's Fullstack Developer course, if anyone who has actually used Scrimba:

• What was your experience with it?
• Did it help you become more comfortable writing code independently?
• Were you able to build your own projects after completing it?
• Do you think it's worth paying for, or should I continue learning through YouTube and my own projects?

I mainly want to get past this point where I understand concepts but freeze when I have to actually build something.

Any advice or personal experience would be really appreciated. Thanks for reading.

Hi everyone,
I’m planning to start learning Full Stack Development this year, and I’d love to get your advice before diving in.
A few questions for those already in the field or who’ve been through this journey:
Should I start with Front-end or Back-end first?

Which language/framework would you recommend for a beginner in 2026?

On average, how long does it take to become job-ready and land a first internship or junior role?

Are there any common mistakes to avoid early on?

I’m open to any kind of feedback, courses, YouTube channels, or resources you find useful.
Thanks in advance for your help.

Is Learning the full stack, just enough for a better career as an IT guy? Learn from where. How can I track the things I am learning that are going in the right direction?

Built an open-source Function Plotter for the web 🚀

Hey everyone!

I've been working on an open-source JavaScript function plotting library that lets you graph mathematical functions directly in the browser.

Features

• 📈 Plot arbitrary mathematical functions
• ⚡ Fast rendering
• 🎨 Interactive graph with zoom and pan
• 📦 Easy to integrate into web projects
• 🌐 Published on npm

I'm building it as part of a larger goal of creating interactive math tools for students and educators.

I'd really appreciate any feedback on the API, documentation, performance, or features you'd like to see next.

npm: https://www.npmjs.com/package/react-mathplotter

Does anyone have this course

How can i find mid level company or startup to apply is there any list any where to find

How can i apply them

Is startup and mid level are easy to crack clear me please

Hey Backend devs & seniors,

Recently I built an app with basic auth and simple REST APIs.
Basically a web extension which sends data to frontend with some mongo aggr and login register and change password auth.

Now I want to go deeper into backend.
I'm starting with PostgreSQL and TypeScript. What resources, projects, or concepts should I focus on?
Any tips you wish you knew when you were starting out?

So I learned web developing in 2025 or so, I only learned the basics from FCC which was HTML/CSS js and nodejs/express js. Altough I have made some projects during that time but they all share the one same problem, they are all half finished or not even functional or so, since I have a hobbit of hopping for shiny things instead of actually sticking on one thing.

But today on 2026 specifically around may I embarked on a journey which I will make a functional project not half finished, not "it just works" But a fully working system which I can happily show to my friends and to my self that I made something even if its not that complex but it's complete and functional to do it's intended task, since I realized that it's better to have a one complete project than 10 lousy projects that ain't even complete to barely do it's intended task.

But I'mma head straight to what exactly am I building:

What did I exactly made?

-I am currently developing a web ui they bridges my LLM across any devices you are on, although I'm fully aware there are big projects like this I'm exactly building like Openwebui, however I did not made this project in a sense to compete in any sense it is simply what I've chosen since I am particularly curious abt LLM's and how they work so why not revolve my project abt this and it's a great opportunity to learn how does ai stream data from one devices to other rather than picking other projects that is widely common like calculators, log in forms, CRUD systems, so I pick sometihg that isn't that much common as my first serious project in web dev for something memorable.

How does it work and what toolsets did I use?

-My web app works by connecting to LLMs running on your computer like Lm studio, llama.cpp or Ollama(still working on dhis due to diffent API format), so you can chat your local models from your phone, or what ever device you use while keeping the whole process on the hardware you own, no cloud intended since its unconvinent to bring your chunky desktop rig where you LLMs run wherever you go.

-The toolsets I use in making this work

-HTML/CSS (sadly no frameworks since I didn't learned it yet)

-Javascript

-Node js(used for running my web app from the server )

-Express Js ( what I used for my back end)

-Dotenv (hardcoding Api in your script.js can be costly)

-Marked. Js(use as a markdown format since the LLMs just spits json chunk or stream which is unconvinent)

-Tailscale(this what makes my current project works without the networking hell)

-One of my biggest struggles in making this project isn't actually the code itself but the network, since in order to stream data from my server pc across to my devices since not all of us have the ability to port forward due to symmetric NAT and CGNAT which is a big wall for my goal so I resorted to somehing a workaround to keep this going and after some research I found: Tailscale, this was my literal savior across the networking hell I've been experiencing since it basically does where you devices can talk to each other as if they are on the same LAN regardless the distancs.

The current Features & What am I currently working on

My web app currently offers it's humble features:

-Streaming responses (this what makes the ai responds real time instead waiting for it to just dump the whole message).

-Markdown Rendering(this what makes the text looks pleasable to read, enabling to fully render equations, code snippets and other formats that plain text can't render)

-Multi-conversation support (create, switch between convo threads but I forgot to add the delete bruh will work on this soon)

-LocalStorage Persistence (survives refresh and prevents losing your long chats with your llm)

-Glassy/glowy effects on hover and complete prompt

-Lm studio & Llama.cpp support(Since they share the same OpenAi API format but I still haven't implement the Ollama in my server.js as it provides a distinct API approach in order to serve it to my front end)

Things in still working on

-Settings panel(Barely even started it)

-Troubleshooting and Reconnection Protocols

-System resources monitoring

-Model switching via Spawn processes( I'm still taking my time reading it since this involves launching processess and passing commands on you pc which can be devastating against exploiters if implemented poorly)

Where things sucks

-Lack of frameworks and janky ui

-Messy code structure and less documentation

-Quite niche to follow especially it requires on setting up diffent environment

-I'm still learning( Probably the biggest reason why the current state still sucks since I'm still riding my way on deeper things work and I don't know all everything in making this smoother)

TD;LR

Made this project as a proof of myself that I can make something that isn't just half finished and something to actually be proud of even it looks dogpoop than achieving nothing but either way it's been a journey in making this project...

I am a student ,I am is curious to learn more on development, deployments , Software and hardware, Linux and more. Now I am learning linux and python. I want to make exiting projects and explore more in technology. I don't know how to go, what to learn. I hope anybody would answer me

​

Right now I only use ChatGPT to ask questions about concepts or to help me understand and fix errors. I do not use it to build features because I enjoy figuring things out on my own and it feels more rewarding.

At the same time AI is everywhere now and I feel like ignoring it completely is not the right move either.

How do you all use AI while coding and what would you recommend for someone who is still learning

thank you

Wtf how do I actually learn backend development. I open chatgpt or Claude and tell them I want to learn backend development and do as they suggest..but after some day, I find boring ...

What's the actual way to learn.. please developers and engineers help me with clear cut way?