CodeHubAI
A coding assistant platform offering intelligent autocompletion, refactoring suggestions, and bug detection. It aims to democratize high-quality code by acting as an always-on pair programmer.
An in-browser IDE powered by the Monaco Editor. It uses a lightweight, fine-tuned model for low-latency code completion and calls a larger model via a Python/FastAPI backend for more complex tasks like whole-function generation.
The Challenge
The primary challenge was latency. For a code completion tool to be useful, suggestions must appear in less than 200 milliseconds. This required optimizing both the network requests to the AI model and the performance of the frontend editor integration itself.
The Solution
I integrated the Monaco Editor (the core of VS Code) directly into the web browser, providing a familiar and powerful environment. The AI suggestion engine uses a lightweight, fine-tuned model for common completions and only calls a larger, more powerful model for complex tasks like whole-function generation, balancing speed with capability.
Gerasimos Makris is an AI Web Developer with a background in FinTech operations. He specializes in building secure, scalable web applications that solve real-world financial problems. When he's not coding, he enjoys exploring the intersection of technology, finance, and business strategy.
