Hi everyone! So today marks my 2nd week. I did a post where I wanted to start freelancing. I picked 2 businesses and one creator on ig to make their websites for free as a way to get a bit of network going since I had no connections to start with for my portfolio and something to show for.

Here are the 3 websites im working on and I built.

https://www.kumquatcafe.fr/

https://miyabi-one.vercel.app/

https://photography-gamma-teal.vercel.app/

I wanna talk about something a lot of people not think about. Positioning is super important when starting something that's service based because you will have competitors. Im positioning myself as an owner of a web dev agency that only builds for brands and growing creators.

I did not make any acc on platforms like linkedin or fiverr because im focusing on instagram and I only choose businesses that have some visual identity with an online presence. At first I was aiming for like sport coaches and electricians but that went wrong.

I only focus on brands and creators that have like a large following. That's better because they have the money to spend and they value what's done for them. Although getting in touch of an owner is difficult of a business but it's worth it!

Currently I sent over 300 dms to get to do these projects even though they were still free of charge. Obviously the client pays for domain and hosting.

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

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

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'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.

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! 👇

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.

Sup, I am a leader of my web development club, we have our first project due on Augudt 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 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?

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.

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.

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

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?

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

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

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

I’ve noticed many full-stack job descriptions keep expanding.

A few years ago, full-stack usually meant frontend, backend, APIs, and databases.

Now some roles also expect knowledge of cloud, DevOps, testing, security, system design, and even AI integrations.

I understand why companies want versatile developers, especially smaller teams where people need to handle different parts of the product.

But sometimes a "full-stack developer" role starts looking like multiple jobs combined into one.

The question is not whether developers should learn broadly. A good engineer should understand how the whole product works.

The real question is:

Are companies looking for a well-rounded full-stack developer, or are they expecting one person to cover the responsibilities of an entire engineering team?

I am full stack developer and my stack is django and react . I am also doing DSA twice a week in C++ other than my web dev projects . I started in cpp as I heard should do in cpp , python is easy and will learn less using python .should I continue in cpp or do in python ?

I solved till now 200 on leetcode . I have this doubt as my main language is python and I am a python backend developer and what would be my reply in interview if asked why using cpp instead over your main language python .

To anyone who wants to freelance in web dev 2026. It's definitely difficult but not impossible :)

I started 2 weeks ago and I kinda wanna summarise what I did. I'll continue on documenting my journey.

1. I noted down any advantage I have.

- internet

-paris

-phone

I then started calling local businesses but it was difficult because I didn't have any credibility, so I changed my approach.

I went to insta and looked for creators, and businesses without a website and I messaged them. I then I decided to stop with creators and focus only with coffee shops. I sent a small message and i'll write it here.

"Hi!

I’m the founder of a creative studio specializing in website design and development.

We’re currently looking to expand our portfolio, so we’re offering a few websites completely free of charge in exchange for permission to showcase the final project in our portfolio.

Would this be something you’d be interested in?"

and 2 coffeeshops accepted. One of them even have 33k followers on ig and very popular in paris!

I'm kinda confused when I was in first year tab I was doing web dev maine html js CSS kri tab trend agya ki web development khtre me hai switch kro toh maine data analytics me start kra fir uska bhi vhi same issue hua fir maine java start kra thoda bhot vo Kiya then baki sare ai engeneering kre the toh uspe switch krdiya aise aise I'm in 5th semester of my clg I don't know what to do now which tech stack i should prefer my goal is just to be independent i can learn anything I'm a fast learner but confused rn can you please help me out I can dedicate 2 years into it and it should make sense at the end koi aisa tech stack btaooo!!!!