PUKU Editor is an AI-powered code editor built on top of VS Code, designed to help developers code faster and smarter. It goes beyond basic autocomplete by offering intelligent predictions, semantic understanding, and context-aware suggestions that adapt to your workflow. The editor anticipates where you’ll edit next, understands your codebase at a deeper level, and provides guidance that makes development more fluid and intuitive.

This project is used by Poridhi.io learners, serving as a teaching tool for both vibe engineering and platform engineering. By blending familiar developer environments with AI-native capabilities, PUKU Editor creates a space where students can practice modern engineering concepts while experiencing how intelligent tooling reshapes everyday coding.

I was the Product Engineer of this project, responsible for architecting its AI-native enhancements and ensuring the platform delivers a seamless, educational experience for developers and learners alike. I was responsible for the RL/RLHF pipeline, including data/feedback loops, fine-tuning workflows, and the infrastructure required to train, evaluate, and deploy improved model variants. This included designing the training stack and the operational path for rolling updated models into the product safely.