DevScore

Developer Intelligence Platform

DevScore is an AI-powered platform that analyzes GitHub repositories to generate structured engineering tiers. It evaluates code quality, architectural decisions, contribution consistency, and technical depth to produce measurable developer insights.

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Overview

DevScore connects to a developer’s GitHub account, audits repositories using an AI-driven evaluation pipeline, and assigns standardized engineering levels. The system emphasizes objective metrics across architecture, discipline, and long-term contribution patterns.

The result is a quantified score breakdown and shareable “DevScore Dossier” badges for portfolios and public profiles.

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Features

• GitHub OAuth Integration
  Secure authentication and repository synchronization.

• AI-Driven Repository Audit
  Architectural and structural analysis powered by Groq (Llama 3.3 70B).

• Scoring Framework
  Automated evaluation across:

  • Depth
  • Discipline
  • Consistency

• DevScore Badges
  Dynamically generated, embeddable credibility indicators.

• Professional Interface
  Dark and light themes built with React and Framer Motion.

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Technology Stack

Frontend

• React
• Vite
• Tailwind CSS
• Recharts

Backend

• Django 5
• Django REST Framework
• PostgreSQL

Asynchronous Processing

• Django Background Tasks

AI Engine

• Groq API (Llama 3.3 70B)

Infrastructure

• Docker Compose
• Koyeb (Backend Hosting)
• Vercel (Frontend Hosting)
• Neon PostgreSQL (Managed Database)

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Quick Start

1. Environment Setup

Clone the repository and create your environment file:

cp .env.example .env