project_matrix.sh

$ cat project.txt

FRONTEND GENERATOR PIPELINE

AI pipeline that generates production Next.js apps from a GitHub repo URL and a design screenshot. Gemini Vision analyzes, an LLM generates the code, and the result auto-deploys to Vercel.

$ ls -la project/

FRONTEND GENERATOR PIPELINE

An end-to-end AI code-generation platform: upload a repo and a screenshot, Gemini analyzes both, an LLM scaffolds a Next.js + shadcn/ui app, and it ships to Vercel.

Next.js FastAPI Gemini Celery PostgreSQL

The Challenge

Turning design specs into production frontend code is slow, repetitive, and rarely reuses the existing codebase context for consistency.

Our Solution

A vision pipeline (Gemini 2.0 Flash) reads repo structure and design screenshots, an LLM generates Next.js and Tailwind code, Celery queues async jobs, and PostgreSQL tracks generation history before automatic Vercel deployment.

Key Features

Gemini Vision analysis of both codebase and design screenshot
LLM code generation targeting Next.js, React and shadcn/ui
Async job queue with FastAPI and Celery
Automatic Vercel deployment via token integration
GitHub and GitLab URL support, including private repos
Generation history tracking for audit and re-runs

Technical Architecture

Frontend

  • framework: Next.js (generated)
  • stateManagement: N/A
  • styling: Tailwind CSS
  • testing: N/A

Backend

  • runtime: Python
  • framework: FastAPI + Celery
  • database: PostgreSQL
  • caching: Redis

Deployment

  • hosting: Vercel
  • ci_cd: GitHub Actions
  • monitoring: N/A

Results & Impact

Generates a deployable Next.js app from a repo URL and a screenshot

Vision-driven analysis keeps output consistent with existing code

Async pipeline handles long-running generation without blocking

One-click Vercel deployment shortens design-to-live time