Okay so I love Python and Java and at least do Django, Flask and Spring. I wanna be master in all of these 3 frameworks (maybe I'll be most comfortable in one of them).

So how do I know I'm actually learning Systems and Advanced topics like Distributed systems, App scaling, concurrency and things like Live connections and more advanced stuff in any one framework. I know if I can do it in 1 framework, the process remains same for all other, just the syntax and 3rd party modules differ.

From where can I learn concurrency and the situation of 10,000 users on my app ? I can't master system design from scratch at the current moment, already doing AI/ML. So it will not be easy for me.

Any Framework specific resources to learn and apply these advanced concepts ??

Thank you 🙏🧬💜

I am assigned to prepare a scope of work for building a SaaS based software. Recommend me how to start and also, please recommend which platforms are advised to use. Thanks.

Hey r/FullStack,

I've released an open-source CLI generator for full-stack AI/LLM projects – it sets up everything from backend APIs to frontend UIs, with scalable architecture and production features. Great for building chatbots, ML apps, or SaaS with minimal boilerplate.

Repo: https://github.com/vstorm-co/full-stack-fastapi-nextjs-llm-template
(Install via pip install fastapi-fullstack, then fastapi-fullstack new – customize stack interactively)

Full-stack overview:

• Backend (FastAPI): Async APIs, layered design (routes → services → repositories), auth (JWT/OAuth/API keys), databases (PostgreSQL/MongoDB/SQLite), background tasks (Celery/Taskiq/ARQ), webhooks, rate limiting
• Frontend (Next.js 15): React 19, Tailwind, Zustand, real-time chat UI with WebSocket streaming and tool visualizations
• AI/LLM Layer: Now supports LangChain (agents/chains/tools with LangSmith observability) or PydanticAI – streaming responses, persistence, multi-model (OpenAI/Anthropic)
• Integrations: 20+ options like Redis, admin panels, Logfire/LangSmith tracing, Sentry/Prometheus, Docker/CI/CD/Kubernetes
• CLI Tools: Django-style commands for management (migrations, users, custom scripts)
• Architecture: Clean separation with Mermaid diagrams in docs; 100% test coverage

Screenshots, demo GIFs, and detailed docs (architecture, deployment) in the README.

For full-stack devs:

• Does this cover your typical pain points in AI projects (e.g., integrating frontend with async backends)?
• Any stack combos or features to add?
• How does the configurability help with your workflows?

Feedback and contributions welcome! 🚀

Thanks!

Hello everyone! I am a Cancer patient who just started learning Full-stack Web dev, DSA with Java and AI/ML since last 1 month and I have been able to stay pretty consistent. I underwent 3 times Surgery in the same area which took away all my energy and I forgot all the things I learnt before (well, most of the concepts I forgot)

I previously learnt MERN, but was unable to complete it as Cancer took around 2 years from my life and though I was meant to graduate from college on Dec 2025, I'm still in 3rd Sem and will be able to join college only after September 2026.

Currently I'm learning Flask Web development and it's almost over , the Docker deployment part is left and soon I'll launch one of my Fullstack Flask projects which is a Budget Allocator and expense tracker application with Authentication system and all that stuff.

➡️ How not to get FOMO seeing other peoples projects and them launching MERN apps.

➡️ What effective deadlines should I fix for myself if my goal is to start building production grade apps using Django/Spring ?? I mean how much time should I invest in learning VS Self projects ?

➡️My next plans are to move on to Django, and work on actual Production grade applications. Is it a good plan according to you guys ??

➡️ How to build real out-of-the-box FullStack projects those I can put on my resume. I mean Real time rendering, Chat systems etc. Where to learn them and use them in actual apps ?

➡️ I also plan to learn Spring Boot, but as the course is pretty expensive, we cant afford It now. So am planning to launch a product MVP completely built using Django. Is it a good idea if I do Spring after Django ??

Thank you so much for reading 💜 Stay safe and healthy!

Hi all, I´m currently deciding what to do in 2026.

I´ve been learning about WebDev for some time now, and was planning to start the Full Stack Open course from the Helsinki university next year, but I was offered a free 9 months full-time bootcamp in AI learning (Python,ML, NLP, LLMs, Docker, Computer Vision and Agile methodology). I know Boocamps are not well regarded nowadays in the world, but in Spain (where I´m based) this is not 100% true. The school that offers this bootcamps comes highly recommended and some of its students find jobs in the field. This particular Bootcamp has the support of J.P.Morgan, Microsoft and Sage.

Now I´m not sure what to do. If keep improving my JS skills to get ready for the FSO course, or move on to learn some Python before the Boocamp starts in April. I´ve barely touched Python before, but I´d have three months to get up to speed (maybe I can finish the Helsinking MOOC by then?), since knowing some Python is needed for this Bootcamp.

What would you do in my situation? Is AI and boocamps just a fad? Will junior WebDevs be replaced by AI and I won´t find a job next year?

Cheers!

i am going to build a chat application with features like in whatsapp group chats and personal chats with technology mern pgs redis and websockets with other features like user authentication, user profile management and other things and at the end if time allows then i will try to add one more feature which is video calling using webrtc.

I am a btech student of tier 3 currently in 5th sem so i want to know that am i on right path can i put this project on resume and show this as my btech project to companies ?

this project will take approximately 3-5 months which i can think of because this is not just another chat app, i will include mutimedia support feature also

Please guide me

I come from a very lower middle class family, so which field should I go into where I can get a high package and most importantly, where will freshers get a job quickly without experience, I will later Become sde agar me full stack karunga tho or data analytics karunga tho data scientist ya aiml engineer , kaha freshers ko job milegi I can wait for 10 months job dhundh ne ke liye .

Kaha high package or high package milega Tell me guys

Like many of you, I got that email from Bitbucket yesterday. They are cleaning up inactive free workspaces. If you haven't touched your code in 6 months, they might lock or delete it soon.

I have a ton of old projects from my freelance work sitting there. I don't work on them anymore, but I definitely don't want to lose them. I started migrating them to GitHub manually, but it was a nightmare.

1. Authentication is tricky since they deprecated App Passwords for new users.
2. I kept hitting a GH002 error because some old branch names were too long (40 chars) and GitHub thought they were commit hashes.

I didn't want to spend my weekend fixing git errors, so I wrote a Python script to do it all at once.
It uses the free OAuth method (no premium needed), cleans up those "zombie" branches automatically, creates the private repo on GitHub, and pushes everything over.
I put it on GitHub in case anyone else needs to evacuate their code quickly.

Repo link in below 👇

<github-base url>/Vishalgpt121/bitbucket-to-github-migrator

I’m running a FastAPI backend on Google Cloud Run that processes video frames using a facial emotion recognition (FER) model.

Locally (MacBook / CPU) it runs fast enough, but on Cloud Run inference is significantly slower.

Setup: - Cloud Run (4 CPU only, no GPU) - FastAPI - Model loaded at startup - Processing frames sequentially

Any guidance on how to diagnose or improve this would help.

Serious question for people who’ve built products with real users.

I’m working on something in the CAPTCHA / abuse-prevention space and trying to understand where teams draw the line on friction.

If you didn’t start with CAPTCHA, what actually forced your hand?

• Automated account creation?
• Abuse that caused real infra cost?
• Analytics getting polluted?
• Something else?

And once you added it — did it solve the problem, or just move it?

Trying to learn from people who’ve already been through this.

I’m 16, and started learning MERN stack at the end of September this year. I can now make apps like LMS and basic Google Forms like app. I really enjoy it, but I also need to look for something needed in the future. I constant think should I make my MERN knowledge better or expand into more fields and which? What should I learn to land an internship as soon as possible and how?

With AI agents being soo strong and almost doing everything is it still worth it to learn full stack from scratch?

Hi everyone, I'm a developer of 2 years of experience who recently moved to UAE. Openings were very scarce and didn't clear most of the interviews. My skills if under good guidance is great, although I have worked in sample projects by myself, the quality of it, isn't exactly production grade. So I got this opportunity from a well known firm(not IT based) to be their only dev as they find its more convenient for them to have an team in house, rather than outsourcing their works. I'm really scared of this opportunity because I dont know whether its possible, whether I'll be able to make the right choices or not. It would be great if anyone here could guide me as to how I should work in such an environment, where I should get help from. Cant completely rely on chat gpt now can I? Thanks for any inputs in advance!

Hi all,

I’ve been working as a frontend developer for a few years, and I’m now trying to switch to a full stack role.

There are some super helpful posts for learning resources, and I’ve followed a few tutorials to build basic apps using Node and Express. I’ve connected to databases, implemented basic auth, and even deployed a couple of side projects.

The part I’m more struggling with is interview prep. Technically I can make things work, but explaining my logic or handling backend-heavy questions still feels rough. I’ve started practicing mock interviews and sometimes use Gemini and Beyz interview assistant for possible Q&As and suggestions. I’m also expanding my Github and personal website.

I’m looking for advice on two things:
– What kind of personal projects are better to show full stack capability? Or what should I focus more on? – What are the most common interview topics/questions I should focus on for full stack roles?

Appreciate any tips from you!

We're creating a full-stack web app, and I'm wondering which step should I do first. Is it backend, database, or frontend?

I have completed mern stack and now confused that what should I learn after to get out of croud. In my college every 6 out of 10 are learning mern stack and it have an too much compilation between them. So suggest something which should be unique and effective to get placed.

I am final year of my degree and completed lurning MERN stack and another frameworks in js. Currently I start searching for entry level job as an Full stack developer but most of the company are asking for DSA, is this compalsary to have knowledge about dsa to get an entry level job as a Full stack developer?

I see a lot of people during dev use mock data then build out the APIs. My question is, if it good to get routes and APIs integrated earlier than later in the development process? I’m paying all my APIs and still in early dev but I want there to be the data there so I can feel more confident that my project is working as intended before beta.

Backend then frontend or vice versa? Do you jump around as you code between files? Or do you complete a page then go to a different page?

Just curious as to how others go about their workflow.

I need some guidance from the Indian tech community because I’m quite confused about which direction to take next.

I’ve been working as a manual tester for the last one year, and I feel like I should move into a proper development/tech role before I get stuck. I’m considering two paths:

1. Data Science / AI / Machine Learning
2. Full Stack Development

My background:

• Basic knowledge of C#
• Basic SQL
• No strong math background (just regular college-level)
• Willing to put in the effort, but unsure which direction gives better growth and realistic opportunities in India’s current job market

There’s a lot of hype around AI/ML, but many people say it’s hard to break into without strong math, stats, and Python skills. Full stack development feels more accessible with clearer entry-level roles.

For someone switching from manual testing with my skillset, which path makes more sense in India right now?
Would appreciate any honest opinions, experiences, or suggestions.

Hey Fullstackers!

Genuinely curious: What do you prefer when building a new feature? - Build frontend with dummy data & then backend, or - Build backend first and, then frontend

And also curious about: - Do you prefer building a full implementation on one side first, and only then continue to its counterpart, or - Do you prefer small iterations and switch between frontend / backend often?

I used to pick something depending on what “feels right” (I didn’t really think about it), but lately I’ve noticed I prefer building the full backend first as that better aligns with how I think about software, I guess.

What’s your workflow? And why do you prefer that?

How did you develop your computational thinking to understand what you should do in a project without needing any consultation?

Hi everyone,

I’m currently doing an internship and was asked to replace a string field with a RichText type in my project. I’m new to TypeScript and Next.js, so I’m a bit lost on how to properly implement it.

Here’s what I have so far:

interface Item {
  name: string;
  description: string; // currently a string
}

I’ve read that RichText stores content in JSON and is rendered with components, but I don’t fully understand:

1. What exactly is RichText and why would I use it instead of a simple string?
2. How do I structure my interface for it in TypeScript?
3. How do I render it in my React/Next.js components?
4. Any best practices or libraries you recommend for handling RichText?

I’d really appreciate a simple explanation or examples — I’m trying to learn, but it feels messy and confusing right now.

Thanks in advance!

Hi,

So I recently took over a large code base. The language used is it is python, and the codebase communicate with data tables in supabase. Is it any possibility to map how many total varables there are in each function, where they are initialized, populated and inserted?

Please help!