Osloq.

Osloq

Osloq is an AI-powered bug reproduction tool that transforms GitHub issues into verified, evidence-backed findings. By connecting directly to your repository, it traces code across commits and runtime contexts, then reproduces the reported issue in an isolated sandbox—delivering developers clear reports with logs, screenshots, and actionable next steps.

Product Highlights

• AI-Powered Investigation: Automatically reads GitHub issues and traces relevant code paths across your entire codebase to understand what went wrong.
• Live Reproduction: Runs the actual bug in a secure sandbox environment, capturing browser DOM, console logs, and screenshots to confirm the issue.
• Multi-Language Support: Understands code in any language with current runtime support for JavaScript, TypeScript, Python, and Go.
• Evidence-Backed Reports: Generates clear findings that link directly to specific files, commits, and runtime evidence—ready to share with your team.
• Zero Code Storage: Runs investigations in fresh, destroyed-after-use sandboxes with no training on your source code and minimal GitHub permissions.

Use Cases

• Bug Triage: Quickly validate incoming GitHub issues to determine if they're genuine bugs or user errors before assigning developer time.
• Legacy Issue Cleanup: Reproduce and verify old, stale issues in your backlog to prioritize what actually needs fixing.
• Onboarding Acceleration: Help new team members understand complex bugs through clear, visual reproduction trails without deep codebase knowledge.
• Release Validation: Confirm that reported issues are reproducible before they escalate to critical production fixes.

Target Audience

Osloq is built for software developers, engineering teams, and open-source maintainers who spend hours manually reproducing GitHub issues. It's especially valuable for teams managing large codebases, handling high volumes of bug reports, or working across multiple programming languages and frameworks.