
Most AI dev tools just read your code and guess. Osloq actually runs it. Connect your GitHub, pick an issue, and an AI agent spins up a real sandbox, clones your repo, runs it, and tries to reproduce the bug the way a developer would. You get a report backed by real evidence. What happened, the steps it took, and whether the bug is real, not a hallucinated guess. No local setup, no "works on my machine." It handles the tedious reproduction step so you jump straight to fixing.
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Osloq is an AI-powered issue investigator that goes beyond reading your code—it actually runs it. Connected to your GitHub repository, Osloq takes a reported issue, spins up an isolated sandbox, clones your repo, and attempts to reproduce the bug in a real runtime environment. The result is a verified report backed by logs, screenshots, and the exact code path, not a hallucinated guess. It eliminates the tedious reproduction step so developers can jump straight to fixing.
Osloq runs your repository in a fresh, isolated sandbox that is destroyed after each investigation. It traces the relevant code, attempts to trigger the bug, and captures logs, screenshots, and errors—tying every result back to the original issue. No local setup, no leftover artifacts.
Instead of guessing, Osloq summarizes what it reproduced, links the evidence, and gives developers the next step without losing context. You get a clear verdict: what happened, the steps it took, and whether the bug is real.
Osloq traces issues across code, commits, and runtime context in JavaScript, TypeScript, Python, and Go—with support for more languages expanding. It understands your entire repository, not just isolated files.
Osloq connects through a GitHub App with read-only access to the repositories you authorize. You control the scope from a single repo to your entire organization, and can revoke access anytime. It never pushes commits or modifies your code.
"Most AI dev tools just read your code and guess. Osloq actually runs it."
This is the core difference. While other tools analyze static code and produce speculative answers, Osloq executes the actual flow in a real sandbox. It doesn't just tell you what might be wrong—it shows you what happened, with concrete evidence. The result is a verified finding that eliminates the back-and-forth of "I can't reproduce this" and lets developers focus on the fix.
You're tired of spending time reproducing bugs manually, or you've been burned by AI tools that hallucinate fixes without real evidence. Osloq is especially useful if you manage multiple GitHub repositories, work across several languages, or need to share verified issue reports with your team. The free tier covers personal projects and open-source work with 5 investigations per month, so you can try it without any commitment.
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