# Osloq

> Osloq is an AI-powered GitHub issue investigator that connects to your repository, reproduces bugs in an isolated sandbox, and returns verified findings backed by logs, screenshots, and code evidence.

Osloq is an AI issue investigator built for developers who want to understand bugs faster. Made by Nobaly, LLC, it connects directly to GitHub repositories, reads open issues, traces the relevant code and commits, and attempts to reproduce the problem in an isolated sandbox — returning a verdict with linked evidence rather than guesswork.

## What It Is

Osloq sits at the intersection of automated bug reproduction and code intelligence. When a developer points it at a GitHub issue, it reads the issue description, navigates the codebase across multiple files and commits, runs the relevant flow in a sandboxed environment, and captures logs, browser screenshots, and console errors. The result is a structured finding that names the exact code path responsible and suggests a next step — formatted as an issue comment ready to share with the team.

## How the Investigation Workflow Works

The investigation follows a three-stage pipeline:

- **Issue loading** — Osloq reads the GitHub issue and identifies the relevant code paths and commits.
- **Reproduction** — It runs the repository in a fresh, isolated sandbox, executing the affected flow and capturing runtime artifacts (DOM state, console output, logs).
- **Verified finding** — It ties the reproduction result back to specific files and commits, producing an evidence-backed report with a suggested change.

The sandbox is destroyed after each investigation, and Osloq never pushes commits or modifies source code. It connects via a GitHub App with read-only, least-privilege access scoped to the repositories the user authorizes.

## Language and Framework Support

Osloq is designed to understand code in any language. As of the current product state, it actively runs investigations on JavaScript, TypeScript, Python, and Go, with additional language support described as ongoing. The tool traces issues across multi-language repositories and handles runtime context alongside static code analysis.

## Security and Data Handling

The product page states that repositories run in a fresh sandbox destroyed at the end of each investigation, and that Osloq never stores source code or trains on it. Only the investigation report and its evidence artifacts are retained in the user's account. Project secrets (API keys, environment variables) can optionally be provided to reproduce issues in a real environment; the model is stated to only ever see secret names, never their values.

## Who It's For

Osloq targets individual developers working on personal or open-source projects as well as professional developers and growing engineering teams. The team tier adds shared repository history, role-based access control, and seat-based investigation quotas, making it suitable for organizations that want a shared bug-reproduction workflow across multiple contributors.

## Features
- GitHub issue investigation
- Automated bug reproduction in isolated sandbox
- Code and commit tracing
- Browser log and screenshot capture
- Evidence-backed verified findings
- Issue comment report generation
- Multi-language support (JavaScript, TypeScript, Python, Go)
- Read-only GitHub App integration
- Project secrets support
- Concurrent investigations
- Shared repository history for teams
- Role-based access control

## Integrations
GitHub

## Platforms
WEB, API

## Pricing
Freemium — Free tier available with paid upgrades

## Links
- Website: https://osloq.com
- Documentation: https://osloq.com/#faq
- EveryDev.ai: https://www.everydev.ai/tools/osloq