Osloq is an AI-powered tool that reproduces GitHub issues in an isolated sandbox, tracing relevant code, commits, and runtime context to deliver verified findings backed by evidence. It transforms vague GitHub issue reports into clear, actionable insights by linking code paths to specific problem points, eliminating guesswork in debugging.
Key benefits include:
- AI-powered GitHub Issue Reproduction: Runs the relevant code flow in an isolated sandbox to reproduce issues, capturing browser DOM, console logs, and errors.
- Multi-Language Code Tracing: Understands code across JavaScript, TypeScript, Python, Go, and expands support, tracing issues through repositories, commits, and runtime context.
- Evidence-Backed Findings: Links code files, commits, and browser data to verified findings, showing exactly what happened (e.g., session cookie timing issues in auth flows).
- Clear Actionable Reports: Summarizes reproductions, links evidence, and provides suggested fixes (e.g., setting cookies before redirects), streamlining debugging for developers.
- Scalable Free Tier: Starts with a free plan for personal projects and open source, with 5 investigations/month, expanding to Pro and Team tiers as teams scale.
Perfect for developers and teams working on GitHub repositories, especially those needing to triage issues efficiently without manual debugging, ensuring faster resolution of authentication, code flow, and runtime errors.
