Ubego Code Scanner

At Ubego, we build mobile apps and backend systems for real businesses. Every developer on our team knows the feeling: you push code, open a PR, and then wait. Sometimes for hours, sometimes for days. And when the review finally comes, it catches things you could have fixed yourself — if only someone had pointed them out earlier. We wanted that feedback loop to be instant. Not after the commit. Not after the PR. Right there, as we're writing code. But there was a catch: we work on proprietary codebases. Client projects. Enterprise code. We couldn't send our code to OpenAI or Claude or any cloud API. Our code had to stay on our machines. That's when we realized: modern consumer GPUs can run capable LLMs locally. An RTX 3060 handles 7B models easily. Why wasn't anyone building local-first developer tools? So we built one ourselves. The problem we were solving Code review bottleneck — waiting for humans to catch what AI could catch instantly Privacy concerns — enterprise and client code can't be sent to cloud APIs Token costs — API subscriptions add up when you're scanning code continuously Integration friction — we didn't want to change our workflow, we wanted something that just runs in the background How our approach evolved Initially, we thought we'd just pipe code to an LLM and get a report. Simple, right? Then reality hit. Context limits, malformed responses, Git integration challenges... The tool evolved into something smarter: it watches Git, batches files intelligently, auto-corrects LLM responses, and tracks issues across scans. The final piece was making it work with any local LLM backend — LM Studio, Ollama, whatever you prefer. Your machine, your model, your choice. — The Ubego Team