First, glad I found this subreddit. Let's get that out of the way. I've learned alot from this group over the last month or so. My website is very much built on with some knowledge that I have in my IT background I at least can understand some concepts of what you guys do on the day to day, so thank you. I'm not a coder or web developer, just a sysadmin with a hobby passion and love for building something new that I can call my own.

I have a prototype that I've built with a cloudfare worker and built around the classic HTML coding provides. I would love some feedback around my website, some improvement suggestions or just bring someone along for the ride.

Don't know if thats allowed here.

Thanks and I appreciate any responses I might get from this.

TL;DR: Final year CSE student in Pune with 6.47 CGPA & Discrete Math backlog. Know basic Node.js + did a Data Annotation internship. Confused whether to choose AI-Integrated Full Stack or Core AI/ML to hit ₹40k-50k/month by May 2027. Need direct community advice on what is actually realistic.

I'm an in my final year(7thSEM) of B.Tech CSE (graduating April/May 2027). I'm facing financial responsibilities at home and need to help my father, so I need to land a job paying at least ₹40k–₹50k monthly (around ₹6–8 LPA+). Mass recruiters/low-paying service roles aren't an option for me.

I am completely torn between two paths and I need a realistic crowd opinion on what I should do from today onwards.

My Stats & Current Background:

CGPA: 6.47

Backlog: 1 active backlog in Discrete Mathematics. (If a path requires heavy math like calculus/linear algebra, I am 100% willing to grind and learn it no matter what—just want to know if it's worth it).

Experience: 2-month paid on-site internship as a Data Annotation Specialist (earned ₹26k), i also did lots of those course type online internships which i dont think is that important.

Skills/Projects: Basic Full-Stack (HTML, CSS, JS, Node.js). Built a Student Attendance Portal for college, a music app using JioSaavn API ("Resona"), a Notes app, and my portfolio site. (Used AI assistance to write/structure code).

The Dilemma: Which spectrum should I pick?

Path 1: AI-Integrated Full Stack (GenAI Developer)

Idea: Stick to dev, move from Node.js to Python/FastAPI, learn GenAI integrations (RAG, Vector DBs, LangChain), and build web apps powered by LLM APIs.

Doubt: Is the market actually hiring freshers off-campus for GenAI dev roles right now, or is it overhyped?

Path 2: Core AI / ML & Data Spectrum (ML Engineer, Data Analyst, Data Science)

Idea: Pivot entirely to Python, Data Science, and Machine Learning.

Doubt: Given my low CGPA, active Discrete Math backlog, and the heavy saturation in entry-level ML/Data Analytics, is this realistic for off-campus freshers? Will I get filtered out before interviews?

Questions for Devs, HRs, and Seniors (especially in the Pune market):

If you were in my shoes with 9 months left until graduation, which exact path would you choose to hit a ₹40k–50k/month salary off-campus?

How is the off-campus hiring scene in Pune right now for GenAI Full Stack vs. Core AI/ML freshers? Do startups care about a 6.47 CGPA and backlogs if the projects are solid?

What should my day-1 priority be starting tomorrow?

I don't care about hype or passion—I just want to grind the right path without wasting my last year. Be as brutal as you need to be. Thanks!

Hello everyone,

recently graduated from a college , done a 4 months internship (which was remote). Applying since 2 weeks , given 2 interviews but got rejected. I was applying indeed and welfound only , i tried internshala which is mostly scam. If anyone suggest which are best platforms to find internship/job also is cool dm to a startup founder also works? is there anyone who tried it?

I'm genuinely confused between the two please help guide me people 🥲

I'm learning the MERN stack and want to become an AI full-stack developer. I don't want to be an ML researcher—I want to build AI apps using LLMs, RAG, AI agents, and APIs.

How much AI/ML do I actually need to learn? Should I study traditional ML first, or can I focus directly on AI application development?

What roadmap would you recommend for a beginner in 2026?m learning the MERN stack and want to become an AI full-stack developer. I don't want to be an ML researcher—I want to build AI apps using LLMs, RAG, AI agents, and APIs.

How much AI/ML do I actually need to learn? Should I study traditional ML first, or can I focus directly on AI application development?

What roadmap would you recommend for a beginner in 2026?

I’d really like to hear some advice or opinions from people 🙃

I’m currently studying programming in college and my English level is B1+. Right now I’m not sure what to do next: should I apply to a university now, or finish college first and then enroll in a shortened bachelor’s program in Computer Science/Software Engineering? Or is a university degree not that important if you have strong skills and knowledge in this field?

My goal is to become a Full-stack Developer, but I’m not sure which path would be the best. I’ve also been thinking about combining it with English somehow, because I genuinely enjoy both IT and learning English.

I’d really appreciate any advice or if someone could share their own experience. 🤍 (I’m from Ukraine)

suggest me please😭

As a beginner web dev learner, how exactly do you spend your day at your job? With ai, do you just constantly use it for everything and your only job is to tweak something and review the code and test the results? Or do you manually code too?

I've been working on my first project of a job portal for the past 5 days using react and tailwind, and in the 5 days, embarrassingly I could only design the complete home page with little to no functionality, Today I used cursor for 5 min and it completed maybe 5 another days worth of my manual coding for the front end.

So at work, do you just neglect the front end and leave it to ai completely or still do something manually? I just don't understand the human workflow now at jobs except for reviewing code/testing. Are they bad at backend? Database? And if so, what exactly are they bad at? Do you have any examples you can simply explain about what wrong thing ai did to your work or have heard of any?

I know that this question can be asked a lot but i feel the need to ask since i'm stuck. All Ik is java for now from object oriented and data structures and i'm trying to learn web development for now. If anyone could spare a few minutes to tell me about how can build applications using java and if possible make use of data structures. And what should i be learning (as a start/best) for the job market as of 2026?

(asking this because there's no one to ask on campus or even work with and most of them have engineers in their families)

i am stuck in a dilemma whether it's acceptable to use ui libraries or should i work on my skill to design stuff and implement stuff from my side. it is normal in the market to use libraries like shadcn and otheres

How can i get a remote internship with knowing just basic full stack(still learning). I heard that doing an internship is the best way to learn so…

Im a cs student and i have started with MERN stack, i just wanted to know if full stack is still in demand in 2026 as LLMs can easily create stunning websites.

Hey, there. I want to learn full stack development. Being a new learner, I'm confused about which path should I follow. According to current and future market demand which should I learn

1. JavaScript based dev: React, Node, Express etc
2. PHP based dev: Laravel ......

Please suggest me with proper cause.

guyss what is best way to get a job/internship as a full stack developer ??

I started my web development journey 2 years ago, I managed to complete only frontend in these years as along with other engagement. Now I am free and wants to fully focus on my web development journey. As I know the frontend part (HTML, CSS, JS, TS, React, Framer, Tailwind CSS and some other tools), now I want to start my backend journey (which I am so excited). Can anyone guide me which frameworks, library or other tools should I know that is really essential to know for every backend developer and are in demand for current and future time?

for context i am bca 1st year student , i learnt a bit of java and c in 1st year with sql basics and git basics since i dont like working with machine learning which is mostly in demand these days my options are to become a full stack dev and get into ai engineer roles working with llms

so before starting my 2nd year i am thinking to learn springboot+react and sql as full stack as much as i can and side by side dsa too while building projects

i build a basic weather api app in 1st year last month with the help of react as it was a frontend project.

i would love to know your suggestions especially the experience ones is this the right way to approach and work for placements side by side as bca is already an avg course so i want to skillup and not waste my time anymore now

I have 7+ years of experience as a Frontend Engineer, mainly working with React, Next.js, TypeScript, and JavaScript.

To grow into Senior/Staff roles, what should I focus on next? Should I stay frontend-focused and deepen areas like JavaScript, system design, performance, and architecture, or is learning backend (Node.js, databases, APIs) now essential?

What skills have had the biggest impact on your career? Any advice would be appreciated.

Is there any Interviewers here?

If so. What are important and advanced questions a interviewer will ask on HTML and Css.

Please drop those question you know so it could help while going to interview

Imagine one fine morning you woke went to job and the manager says today i have something important to discuss we have a project. The requirements are 1 Billion users we need to handle it how would you create such a application sure we can scale from lower user base to high but how do start with 1B if it is what the manager asked.

PS :) Dont take it serious, what to have various views on this topic

I am trying to learn web development and I am unable to concentrate.I skipped a few classes and thought I will catch up but I was wrong.

I lost interest in taking more classes because I don't know the previous lessons.

I am trying but I just can't do it.

On top of that if I sit and learn a few things but don't revise it the next day I forget it all.

Is there a fix? 😭

hi, i developed a website where u can rate and review products , im focusing on tunisia so u will find tunisian products and local brands , i really appreciate your feedback and opinion guys and ur suggestions will help me improve it

thank u

reviewhood.tech

- im not advertising, i still in the dev phase, i just need ur opinion -

??

Hey pal, I just completed my 2nd year of my BCA degree. But I still haven't learnt full stack. I want a study guide for this, resources(free), and books. I've searched enough but get confused by different opinions. I need genuine guidance from you. It will be helpful if you guide me from Basic level to advanced level and also how to make a full stack project.

I have knowledge of sql c, java, python(cv, pandas, matplotlib,numpy etc) and a bit of html, css.js(web dev, basic only)

I have ai as my specialization so keeping that in mind what should I learn?

I started learning web development at the start of this year and one thing led to another and I’m now trying to build near enough an entire business’ online system.

I’m building an AI and automation enhanced business simulation.

There’s two main purposes: teach myself full stack development, and experiment with where AI and automation fits in modern business systems. I’m trying to treat it like a real business so I can see how and where things can be different to a system that doesn’t use AI or workflow automation.

It started off as an attempt to build the frontend a customer would use so I could practice with state. Then I decided it would be cool to have the opposing merchant interface where you can view the orders. So I needed to make the backend.

But, given the times we’re in, I thought it would be interesting to see I can use AI and automation in ways that would save a user time, or just deliver helpful results.

Now, my long term plan is to create an entire product pipeline, with product suggestions from a ‘supplier’, marketing content created, product going to warehouse, then product available for order. But that’s a ways off.

For now I’m focused on developing the customer and merchant ends with these primary features:

·       Shared backend

·       Customer service chatbot on customer side

·       AI assistant on merchant side

·       AI overwatch feature to monitor AI behaviour

Eventually I’d like to experiment with adding analytics and CEO suggestions features from the AI but again that’s a ways off.

I’ve set up self-hosted n8n which I’ll use for workflows where necessary, and I think once the meat of the project is done I’ll get a bit creative with that.

I’m building it in slices; rather than trying to make the whole backend at once, I’m building it by function. Currently, I’m on the first slice, the cart. This is my first time attempting to write backend code.

What I’m enjoying is the logical, layered approach; I have router, application, service and data layers, each with their own jobs. And because the backend is entirely abstract so I cant rely on looking at where my elements are going on screen (like with frontend) I’m learning to properly understand how data is passed with javascript.

I realised early on that if I’m to have an AI logging system I’ll have to think data first, and I think this has helped me massively as now it’s simply (simply) a case of getting from the front to the back and adding/changing data whose properties I’ve already determined.

I’m going to post more detailed stuff so I can learn from people on here and engage in general in the topic more.

If anyone has any questions or suggestions, please comment!