We’ve all been there. You’re deep in a complex refactor, you hit a snag, and the instinctive move is to copy-paste your code into an online AI assistant. It’s fast, sure. But it’s also a leak. You’re sending proprietary logic, sensitive variable names, and sometimes entire architectural decisions out to a third-party server, often without thinking twice about it. For me, that friction point became the breaking point. I wanted a tool that could debug and refactor my code instantly, but I refused to compromise on privacy or connectivity.
The result is CodeClarify, a project born from the simple, stubborn idea that AI doesn’t need to live in the cloud to be useful. It runs 100% in your browser using WebGPU, meaning nothing is ever uploaded to a server. Not even metadata. If you disconnect your Wi-Fi, it still works. If you’re working on a secure network that blocks outbound requests, it still works.
The WebGPU Shift
For years, the narrative around AI in the browser was that it was too slow. We accepted that heavy lifting had to happen on remote GPUs. But the maturation of WebGPU has changed the math entirely. By leveraging the local GPU through the browser, we can run inference on small, optimized models with near-zero latency.
