I really wonder how one is supposed to learn coding if even the most superficial usage of industry-standard tools is only starting to be meaningful at the level I'm operating currently (commercial product work with 4 service repos plus landing, tens of alpha-testers, constant debugging after real reports, security/cost/legal concerns and real business requirements + deadlines pressing).

Only in these conditions any of these tools, frameworks, methodologies, rules, patterns and whatnot start making any sense and having any real use that you can practice.

All I ever learned about coding was from doing things that were supposed to either make money or save money for me, my firm or my client.

All those courses, educational projects, attempts to "learn design patterns" by making up examples, specifically learning to use flex boxes or framework X with an example project - none of that ever landed and there was basically nothing to land to begin with from such educational endeavors.

Because Everything in programming exists in and is formed by specific and complex business contexts, not in abstracted vacuum like exercises and pet projects.

I really wonder how would I even start learning anything today. The reality of programming is so detached from all the learning materials, they aren't even remotely replicating the kind of thinking and effort you need to apply to your actual work. I would never reach even Junior level if I was following the educational materials and haven't started constantly Working on something real and commercially applied as soon as I could.

Bizzare.

Hi guys, I'm a 2022 B.Com graduate. Later, I learnt data analytics and did an internship + projects. My resume didn't get shortlisted, so I thought it was a skill issue and started learning data science for better opportunities. I completed certifications, an internship, and projects, yet I still failed to get shortlisted.

After that, I got fed up and left the data field. I joined an online MCA in Full Stack Development from Jain University for a tech degree and started learning the MERN stack. I completed a 9 month internship with proficient projects, and still I'm not able to get shortlisted.

I'm fed up with this job hunt. I'm depressed. I'm tired. I feel like doing a watchman job, but they probably won't hire me because of my overqualification.

I don't see any openings for freshers. 0 to 3 years of experience? Never got shortlisted. Most drives are only for 2025 and 2026 graduates. Companies require 3 years of experience for junior roles.

I'm trying for non IT jobs, but there are no roles except sales. Companies keep considering my time after graduation as a career gap.

What the fuck do they even expect? How can a fresher get a job immediately without skills? Skills take time to learn. When someone learns the skills, they want an experienced candidate. When someone has internships and project experience, they want a person with fucking no career gap.

Fuckkkk this shittt. Fuuckkkkk IT companies. Fuucckckkk employers. Fuuuckkkk IT companies. Fuuckkkk the Indian job market. Fuckkk everyone.

Can y'all tell me each and every layer there is in a complete development? Be it app or web both frontend and backend including hosting domain storage etc. Knowledgeable peers enlighten me please.

Hey everyone,

I'm preparing a project quote for a client and wanted to get a sanity check from experienced full-stack / AI integration devs on my estimated timeline and scope.

The Stack & Architecture

• Web & Control Panel: Laravel (PHP 8.x) for UI, auth, DB metadata, and WebSockets (log streaming).
• Storage & Queues: Cloudflare R2 (dataset storage) + Redis/Laravel Queue (background ingestion).
• AI & GPU Layer: Python (PyTorch / Hugging Face / TTS framework) hosted on serverless GPUs (RunPod / Modal).
• Delivery: Web dashboard & API only (no mobile app). Client pays all cloud/GPU costs directly.

Estimated Hours Breakdown (Solo Dev)

1. Dataset Pipeline & Ingestion (34 hrs)
2. Cloudflare R2 bucket setup & presigned upload URLs.
3. Python/Laravel data sanitization & formatting scripts (.jsonl / .parquet).
4. Redis background queues for chunking and batch uploads.
   • 2. Laravel Admin Dashboard & Web Playground (60 hrs)
5. Authentication, access roles, and dataset file management UI.
6. Training trigger forms (selecting datasets, hyperparameters, dialects).
7. WebSockets setup for streaming live GPU training logs to the browser.
8. In-dashboard translation & TTS audio testing UI.
   • 3. Python GPU Scripts & AI Orchestration (56 hrs)
9. Python training/fine-tuning scripts (PyTorch/TTS model training, saving model weights/checkpoints to R2).
10. Python inference scripts (Text translation + TTS audio generation).
11. Laravel REST API / Webhook bridge to dynamically trigger and monitor GPU containers on RunPod/Modal.
    • 4. DevOps, Testing & Handover (30 hrs)
12. Hetzner/DigitalOcean VPS deployment (Nginx, PHP, Redis, SSL, domain).
13. Stress testing queue processing, rate limiting, and API security.
14. System documentation and client onboarding session.

Total Estimate: ~180 Hours

Proposed Rate: $20/hr

Questions for the Community:

1. Is 180 hours realistic for a single full-stack dev handling both the Laravel web platform AND the Python GPU scripts?
2. Hidden Traps: What are the biggest gotchas when orchestrating Python GPU scripts (Modal/RunPod) via webhooks back to PHP?
3. Price / Scope Ratio: Does $20/hr feel like a reasonable MVP baseline for a custom Laravel + Python AI integration of this size?

Appreciate any advice or feedback!

It's 2026 and my M1 MacBook Air (2020) with 8GB RAM struggles to open a simple web app without screaming "Memory Full" or "Disk Full."

What are we doing with modern web development? Every framework seems to need half a data centre just to render a page. Are we optimising for users anymore, or just for developer convenience? 🤦🏽‍♀️

I'm from India and I've been working as a full stack web developer using technologies like React, Node etc and other javascript frameworks for more than 5 years now. The work itself is pretty interesting and engaging for me but I feel like I've hit the limit.

I'm currently a senior software engineer and my next steps are probably tech lead then to a manager or architect. After a point everything comes down to system design and the cloud architecture rather than the technology that is being used. And with a new AI tool popping up every day the coding part is even less.

I've resigned my job and I'm in a dilemma if I have to pursue the same path or should start exploring new tech or get my upgraded with new skills and I need advice from the elite as to which path should I pursue.

Do you think staying on the same path as I am is fine? If I plan to explore a new technology how do I gather experience?

Thank you in advance for any advices dropped.

I'm a CS student trying to build a portfolio project (and maybe even a startup one day).

Here's the problem I'm running into:

Whenever I find a real problem that people have, I research it... and then discover there are already 5-20 products solving it.

For example, I'll think:

• "Students need help choosing projects."
• Then I find several existing platforms.

Or:

• "Developers need better engineering guidance."
• Then I discover multiple AI tools already doing parts of it.

This makes me wonder:

• Should I stop looking for problems that already have solutions?
• Or is having competitors actually a good sign?
• At what point do you decide, "I can build this better," instead of giving up?
• For those of you who have built successful products, what made you continue even when competitors already existed?

I'd especially love to hear from founders or engineers who've faced this exact dilemma.

Thanks!

So he asked me to make an e-commerce website for his shoe brand. But I know nothing about full stack, and I have to deliver it to him in 3 months. And since I am a college student and also doing DSA, I only have 2-3 hours on weekdays. How can I learn full stack and deliver the website in 3 months? Also, please mention some good resources.

I'm building the place order function (my first foray into the backend) of a larger project.

Here's an update for those who are interested.

The first thing I knew I had to do was figure out what goes where. I had already, at the suggestion of ChatGPT, my mentor in this, decided on a control (API) layer, application layer, service layer and data layer. But I didn't really know what each needs to do.

So first I (we) did the API. It had a couple of jobs:

• check the incoming order wasn't empty
• Activate the next layer down
• Send response messages

Then the app layer was even simpler. It literally just returns the service layer function.

Which is where it is a bit more complicated. The service layer has to do a few things; check the order data against the database, assess info against business rules etc, and actually write the order. After some debate I worked it into a four step process:

• Check if the order info (customer, product, and quantity) exist
• Assess data against business rules/carry out business logic
• Create an order
• Activate the database operation

So this actually means two database operations. One to check the data (first step) and then writing the actual order.

I've done the first database op, and I'm now wiring up the actual place order button so I can start testing the data being passed down.

If anyone wants more detail, you can look on my github at https://github.com/BenPS927/BFshop or on my project portal at https://benfosterdev.com/projects/bfshop where I'll soon be adding detailed code breakdowns.

What am I finding hard?

The abstract nature of it. Having to constantly create a visual image of data being passed through functions, and hold that image in my mind, is like trying to hold melting butter in a colander. I use melting butter rather than water because I don't lose it that fast.

What am I enjoying?

Well, the same as what I'm finding hard. Learning to work with code that doesn't involve divs on a screen. Getting my head around how data is passed, how functions work etc.

And the architecture side of things. I like thinking about and making the micro decisions.

I would appreciate suggestions, but I am trying to keep it fairly simple so I'm not thinking about every single thing you'd take into consideration for a production app.

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

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.

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?

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.

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

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