
1
1
India
2+ years of experience
I'm NSK a curious 16-year-old from Tamil Nadu who learned to code on a mobile phone starting in 7th grade. No laptop. No resources. Just the internet and the will to build. I started with GDScript for Godot because I wanted to make games. That curiosity never stopped. Now I know C++, Python, GDScript, HTML, CSS, and Liquid. When AI changed everything, I didn't wait. I built Coder — a mobile-first AI software factory — because I was exactly the person who needed it. I don't want to be an employee. I want to be a founder. This is where it starts. Even in this biography I want to read this by my own bad if we have your opportunity that we can use why we can't but still I use my own story but you say to amplify that.

Coder is a mobile-first and desktop-capable AI software engineering platform designed to function as a complete AI development team rather than a traditional chatbot. Instead of relying on a single AI model, Coder uses four specialized agents working together through Band.ai's multi-agent collaboration system. The Planner Agent analyzes user requirements and creates a structured development plan. The Engineer Agent generates project architecture, files, and implementation code. The Reviewer Agent performs syntax validation, dependency verification, import checking, and build-readiness analysis. The Verifier Agent performs UI/UX review, functionality validation, requirement matching, and final quality assurance before delivery. Coder combines these agents inside a unified IDE experience built with Flutter. Users can open projects, browse files, edit code, preview applications, connect GitHub repositories, and export completed projects from a single workspace. The platform supports modern web development technologies including HTML, CSS, JavaScript, React, Tailwind CSS, TypeScript, Node.js, Flutter, and related frontend technologies. Unlike standard AI coding assistants, Coder introduces a configurable three-step verification pipeline that allows generated code to pass through multiple validation stages before being accepted. Users can enable or disable verification directly from the settings panel depending on their workflow requirements. Band.ai serves as the collaboration and orchestration layer, allowing all agents to communicate through shared rooms and agent-to-agent messaging. AIMLAPI and Featherless AI provide access to multiple large language models, enabling flexible model selection and cost-efficient execution. Markdown-based technical knowledge resources can be attached to agents to provide framework-specific guidance and coding standards.
19 Jun 2026