A modern web platform enabling developers to build complex, scalable applications with a unified XML-like syntax and deploy them in seconds.
Write frontend and backend logic in one consistent, structured syntax.
Store your CU code in a database or serve it via REST, and compile on the fly.
CUWeb is powered by a dynamic, server-side compilation system that enables on-the-fly execution of code and logic.
Deploy your full-stack applications with just one click — no infrastructure setup required.
Even those with basic HTML knowledge can build powerful, production-ready applications.
CUWeb aims to grow into a vibrant marketplace where developers, product managers, DevOps engineers, and enthusiasts can share and benefit from:
Explore a growing library of reusable project templates built by the community.
Leverage plug-and-play backend and frontend modules to speed up development.
Access pre-built packages and share your own code easily with others.
CUWeb fosters a collaborative ecosystem where innovation compounds.
CUFramework supports modern language constructs like inheritance, namespaces, reusable components, and data-driven programming— all in a simple, XML-like markup format.
CU code doesn't require installation. It can be constructed, compiled, cached, and executed on the fly— from a database, REST API response, in-memory structure, or a file — all within a secure sandboxed environment.
The framework runs even on bare metal machines with nothing more than a JVM. No external installations or complex environments are needed.
By enabling on-demand, installation-free execution, CUWeb delivers unparalleled scalability — while significantly reducing infrastructure costs by multiple factors.
What you're experiencing now — this entire CUWeb portal — has been built using the same markup-driven platform it promotes. It's not just a concept; it's a fully operational reality.
In fact, the whole application runs smoothly on a machine with just 2 CPU cores and 2 GB RAM, proving how lightweight and efficient the system is even under production workloads.
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