Rino Godson

he/him • Programmer

i'm hands-off with docs. i learn by building - sometimes small, sometimes wild. i like turning ideas into real, working stuff. even if it's half-broken at first, it works... eventually.

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About

I was born in Kerala with a mind that loves tinkering. I started coding at the age of 11, experimenting with HTML and CSS while being afraid of JavaScript. During my high school days, I finally dared to learn JavaScript, and it changed everything. Moving from JavaScript to its tooling, then to TypeScript, and eventually to React felt like the golden era for me. Then AI came along. I didn’t fall into the trap of skill degradation—I used it as a replacement for Google and Stack Overflow while still building a lot of projects myself. Now, I’m an 18-year-old who loves to tinker and has a strong maker mindset.

Technical Stack:

LANGUAGES

  • TypeScript
  • JavaScript
  • Python
  • Rust
  • Go
  • SQL
  • HTML/CSS

FRONTEND

  • Astro.js
  • React / Next.js
  • Tailwind CSS
  • Three.js
  • Framer Motion
  • Redux

BACKEND

  • Bun.js (node alt)
  • ExpressJS
  • ConvexDB
  • PostgreSQL
  • Redis
  • Docker

TOOLS

  • NeoVim
  • Tmux
  • Git
  • Figma
  • cURL

Projects

CURB

Spoiler: This replaces Vibe Coding for me. You code with hands and give AI some small tasks to do, like those recursive ones...

  • Lua

REELINK

Never ask the people who love you to comment on your IG Reel and wait for a DM. Ask them to type and click, or paste and click. Easy, Fast and less frustrating.

  • AstroJS
  • Typescript
  • Cloudflare
  • PSQL

Coins are Bullets

You're the superhero of your life! You earn, spend, gain, or lose... In this game, you need to collect Coins and use them as bullets against the Bills coming at you (you basically pay the bills).

  • Lua
  • Love2D

Odé - YT Music Inside Cards

Create amazing music cards that play beautiful tunes directly from YouTube links! Try it now!

  • Typescript
  • ReactJS
  • TailwindCSS

My Take on AI

I don't buy the hype that the era of humans directly writing code is over. Sure, these AI models can vibecode by munching tokens through probability algorithms trained on past data, but they're not truly understanding anything or generating genuinely novel patterns. If this trend had hit 20 years ago, breakthroughs like Rust, Zig, or even Bun.js might never have emerged, they're fresh innovations, not just remixes of old corpora. On top of that, we're still dealing with prompt injection, context overflow, pollution, and insane computational costs that make the whole thing financially unsustainable and feel like a scam. These models aren't thinking; they're just expensive predictors, and real software engineering still needs human insight.

Story Image

That’s me, Building things I like