Osloq

What it does

Osloq is an AI agent that connects to GitHub, spins up a real sandbox, clones your repository, runs it, and attempts to reproduce bugs. It provides real evidence—screenshots, console errors, and network logs—eliminating the 'works on my machine' problem. The agent works in a real browser, driving the site like a user would, and returns a clear pass/fail verdict with step-by-step evidence.

Who it is for

Osloq is designed for developers and teams who use GitHub for issue tracking and want to automate the tedious process of reproducing reported bugs. It is particularly useful for open-source maintainers, small teams, and professional developers who need to quickly validate bug reports without manual setup. The tool supports any web stack (React, Next.js, WordPress, Shopify, etc.) and requires no test scripts—just plain language descriptions.

Why it matters

Reproducing bugs is often the most time-consuming part of debugging. Developers frequently encounter 'works on my machine' issues where a bug cannot be replicated due to environment differences. Osloq automates this by creating a consistent sandbox, running the app, and capturing exactly what happens. This saves hours of manual effort, reduces back-and-forth with reporters, and helps ship fixes faster. The tool also provides evidence that can be attached to issues, making communication clearer.

Launch signal

Osloq is currently live with a free tier and paid plans. The website offers a 'Get Started' call-to-action and lists pricing for Free, Pro ($29/month), and Team ($99/month) plans. The product appears to be in active use, with a community support option for free users and priority support for paid plans. The company behind Osloq is Nobaly, LLC, and the site states 'All systems operational,' indicating a launched service.

Brand and naming

The name 'Osloq' is short and distinctive, but its connection to the product (a GitHub issue reproduction agent) is unclear, lacking semantic or phonetic cues. The domain osloq.com is memorable due to its brevity, but the name itself may require brand-building to associate with debugging. The tagline and website clearly position it as an AI agent that reproduces GitHub issues, but the name does not reinforce this positioning, potentially causing confusion.