Build with AI. Keep your software maintainable. Scalar is an application foundation for AI-assisted development. Instead of starting from an empty repository, you start with a small, production-ready codebase that already handles the fundamentals — authentication, database, migrations, jobs, PWA, AI, and more. Scalar has its focus on simplicity as a foundation for complexity. The stack stays understandable, so your application can grow without software entropy making it harder to maintain.

I built Scalar because I kept running into the same problem: starting a new application is easy, but keeping it coherent as it grows is not. AI makes this even more obvious. You can generate a lot of software very quickly, but that doesn't necessarily make the resulting system easier to understand or maintain. Scalar takes the opposite approach: start with a small, complete foundation and keep the underlying software simple as the application becomes more complex. It's intentionally boring technology — Python, SQLite, server-rendered HTML, minimal JavaScript — with the pieces you actually need to build a real application. I'd love to hear what you think of the approach, especially if you've been building serious applications with AI coding tools.

Scalar — build apps that last

A complete application foundation for AI development.

A complete application foundation for AI development.