TATVA Documentation

Complete guide to shipping products 10x faster with TATVA's AI-powered SDLC automation.

Installation

Install TATVA CLI globally via pip:

$ pip install tatva-cli

Requires Python 3.8+ and Node.js 20+

Quick Start

Get started in 60 seconds:

1

Install TATVA CLI

Install globally via pip. Requires Python 3.8+ and Node.js 20+

$ pip install tatva-cli
2

Initialize Your Project

Choose from Next.js, React, FastAPI, Express, or fullstack templates

$ tatva init nextjs my-awesome-app
3

Start Building

Launch development servers and start coding immediately

$ cd my-awesome-app && tatva dev
4

Deploy to Production

One command to deploy. Framework detection and authentication automated.

$ tatva deploy --provider vercel

Core Features

Everything you need to ship fast

Zero-Config Init

Initialize Next.js, React, FastAPI, or fullstack projects with one command.

AI-Powered Generation

Generate PRDs, SRS documents, complete backends, frontends, and tests using local AI models.

One-Click Deploy

Deploy to Vercel or Netlify automatically. Framework detection, CLI installation, and authentication handled for you.

Smart Commits

AI-generated commit messages following conventional commits. Auto-stage and push with intelligent context.

Project Scanning

Deep analysis of your codebase. Understand structure, dependencies, and complexity with AI-powered insights.

Dev Automation

Start frontend and backend servers concurrently. Unified development experience with intelligent process management.

Open Source

TATVA is open source and available on GitHub. Contributions welcome!

View on GitHub