How a struggling React project and an old Delphi habit led me to build a framework
This is part 2. Part 1 shows how to turn a vibe-coded MVP into something an AI agent can keep extending. Here is where UECA-React came from. A project in trouble In 2022 my company was rewriting a legacy web app: .NET Core on the server, React with Blueprint.js and MobX on the client. We are a small team. No dedicated designer, no business analyst. I was on other projects and watched from the…
In 2022, a small team working on a legacy web app experienced a significant challenge. The application was built with .NET Core on the server and React with Blueprint.js and MobX on the client side. The developers were struggling with low-level React and inconsistent layout approaches as the project progressed.
Recognizing the problem, the author, who has a background in Delphi, decided to help. Drawing from his past experience, he introduced concepts like a clear component structure and a message bus. The goal was to create reusable building blocks for application development, similar to how components work in Delphi.
After learning JavaScript, TypeScript, HTML, and CSS, the author developed the UECA-React framework. With TypeScript's literal types, the framework automatically generated events like onChange for every component property. A component became a self-contained black box with state, events, methods, children, and a view, all following consistent patterns.
When the team first saw the UECA-React framework, they were initially skeptical. However, once they started using it, they noticed the speed and clarity it brought to the development process. Within months, the team began rewriting tangled screens independently.
The project was saved, and the author's unconventional approach proved successful. Recognizing the potential of the framework, the author named it Unified Encapsulated Component Architecture (UECA-React). The name itself was suggested by ChatGPT, which also assisted in writing the initial documentation.
The author then leveraged AI tools like Copilot and Claude Code to generate code and documents, further enhancing the framework's capabilities. Version 3.0 of UECA-React introduced an AI agent that not only found bugs in the code but also wrote the necessary tests and built a trace viewer.
Looking ahead, the author plans to explore further enhancements in the next post. For now, interested readers can find the framework on npm at https://www.npmjs.com/package/ueca-react and explore its architecture and ideas through an app built with UECA-React itself at https://nekutuzov.github.io/ueca-react-website-public/.
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