FreshMotors Project Context

Document the AutoNews-AI platform architecture, backend, frontend, database, and AI services.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/AlexSostin/AutoNews-AI --skill freshmotors-project-context
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: FreshMotors Project Context
Source: https://github.com/AlexSostin/AutoNews-AI/tree/main/.agents/skills/project-context
Command: npx skills add https://github.com/AlexSostin/AutoNews-AI --skill freshmotors-project-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive overview of the AutoNews-AI project's technical landscape, ensuring consistency and clarity for developers.

Core Features & Use Cases

  • Architecture Overview: Details backend, frontend, database, and AI service configurations.
  • Deployment & Hosting: Explains deployment pipelines for Railway and Vercel.
  • External Services & Conventions: Lists all integrated services and outlines coding standards.
  • Use Case: A new developer joins the project and needs to understand how the AI content generation pipeline is configured, including the specific models and fallback providers used.

Quick Start

Understand the project's AI model chain and fallback providers.

Frequently Asked Questions about FreshMotors Project Context

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up the Django and Next.js architecture for a new project?

The architecture setup involves configuring Django/DRF for the backend and Next.js for the frontend, connected via a PostgreSQL database. This structure provides clear directory layouts, coding conventions, and external service integration guidelines for consistent full-stack development.

What is the best way to deploy a Next.js and Django project to Vercel and Railway?

The best way to deploy involves using separate pipelines: Vercel for the Next.js frontend build process and Railway for the Django backend. This separation optimizes hosting environments and manages external service integrations efficiently across the deployment lifecycle.

How does the AI content generation pipeline work with Gemini and Groq fallback providers?

The AI engine pipeline uses Gemini as the primary model with Groq as a fallback provider. This configuration ensures continuous AI service availability by automatically switching providers if the primary model fails or becomes unresponsive during content generation.

Can I use Docker commands to manage the backend and frontend build processes?

Yes, Docker commands are supported to manage both backend and frontend build processes. The project context outlines specific Docker commands to streamline local development, container orchestration, and environment setup across the Django and Next.js components.

What Git workflow and error reporting conventions should I follow for this project?

You should follow the project's outlined Git workflow for version control and use the designated error reporting standards. These conventions maintain code consistency, track architectural changes systematically, and ensure reliable issue tracking across the development team.