Building Two SaaS MVPs with AI: What I Learned

说明与用途

使用统一技术栈和 Docker Compose 快速构建了两个 AI SaaS MVP。

问题

Create functional SaaS MVPs quickly using AI tools and a consistent tech stack.

结果

Both AI Document Platform and AI Code Evaluation Platform MVPs are operational, demonstrating rapid MVP development using a unified stack and Docker-based automation.

工作流

• 1. Define product idea and required features.
• 2. Choose a common tech stack (Python/FastAPI, React/TS, Vite, PostgreSQL, Redis).
• 3. Set up Docker and Docker Compose for development and deployment.
• 4. Implement backend services with FastAPI and Python.
• 5. Build frontend with React, TypeScript, and Vite.
• 6. Configure PostgreSQL for data persistence and Redis for caching.
• 7. Use OpenAI or local models to generate embeddings for the AI Document Platform.
• 8. Create evaluation prompts and tests for the AI Code Evaluation Platform.
• 9. Automate setup with Make and Docker Compose scripts.
• 10. Run "docker compose up" to launch both services.

证据

Both projects use a similar stack: Backend: Python and FastAPI, Frontend: React, TypeScript, and Vite, Database: PostgreSQL, Caching: Redis, Development and deployment: Docker and Docker Compose

来源

The projects aren’t perfect, and there’s still room to improve them, but both are up and running.

来源

You’ll need Docker and Make installed. I’ve automated much of the setup, so you can try starting the projects with: bash docker compose up

来源