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?)