Osloq

Osloq

AI-powered tool by Osloq that reproduces GitHub issues in isolated sandboxes, returning verified reports with evidence. Enables accurate bug triage by showing what actually happens, eliminating guessw

What is Osloq?

Osloq is an AI-powered issue investigator that connects to your GitHub repository, picks an issue, and automatically verifies what happened. It runs your code in an isolated sandbox, traces the relevant code, commits, and runtime context, then returns a verified finding backed by logs, screenshots, and exact code paths. Developers use Osloq to eliminate guesswork in bug triage—it shows what actually happens instead of relying on manual reproduction. The tool turns GitHub issues into clear, evidence-backed reports that include suggested changes.

Application scenarios

  • Bug reproduction

    Osloq reproduces GitHub issues by running the relevant flow, capturing browser DOM, console logs, and errors, then ties the result back to the issue.

  • Code path tracing

    It traces issues through your repository across code, commits, and runtime context to pinpoint where a bug originates.

  • Evidence collection

    The tool captures screenshots, logs, and error messages during reproduction, providing a full evidence timeline and report.

  • Suggested fixes

    After reproducing a bug, Osloq suggests a change (e.g., "set the cookie before returning the redirect") and prepares it as an issue comment.

  • Cross-language debugging

    Osloq understands your codebase across multiple languages, making it useful for polyglot projects.

Core Features

  • GitHub issue integration

    Connect your GitHub repo, pick an issue, and let Osloq automatically load and investigate it.

  • Isolated sandbox reproduction

    Osloq runs your repository in a fresh sandbox that is destroyed when the investigation ends—your source code is never stored or used for training.

  • Evidence-linked findings

    Each finding is backed by evidence links (e.g., specific files like `apps/web/auth/callback.ts`, commit hashes, callback logs, and browser console output).

  • Full evidence timeline

    The report includes a timeline of reproduction steps, logs, screenshots, and the exact code path that triggered the bug.

  • Suggested change generation

    Osloq summarizes what it reproduced, links the evidence, and provides a suggested change (e.g., "set the cookie before returning the redirect") ready as an issue comment.

  • Project secrets support

    You can provide project secrets so Osloq reproduces in your real environment, but it's optional.

  • Priority investigation queue

    Pro and Team plans get priority in the investigation queue for faster turnaround.

  • Role-based access control

    Team plans include role-based access control for shared repositories and history.

Target users

  • Open-source maintainers: Free plan covers public repositories and up to 5 investigations per month.
  • Professional developers: Pro plan ($29/mo) adds private repositories, 50 investigations per month, and email support.
  • Engineering teams: Team plan ($99/mo) includes 60 investigations per seat, 3 seats, shared repositories, role-based access control, and priority support.

How to use Osloq?

  1. Connect your GitHub repository to Osloq.
  2. Pick a GitHub issue you want investigated.
  3. Osloq loads the issue, reads the relevant code and commits, and runs the flow in an isolated sandbox.
  4. The tool captures logs, screenshots, and errors during reproduction.
  5. Osloq returns a verified finding with evidence links and a suggested change, prepared as an issue comment.

Pricing and free trial

  • Free plan: $0 forever for personal projects and open source. Includes public repositories, 5 investigations per month, full evidence timeline and report, and community support.
  • Pro plan: $29/month (billed monthly). Includes everything in Free plus private repositories, 50 investigations per month, priority investigation queue, and email support.
  • Team plan: $99/month (billed monthly). Includes everything in Pro plus 60 investigations per seat, 3 included seats, shared repositories and history, role-based access control, and priority support.
  • Start free with no credit card required. Cancel anytime. Prices in USD.

Effect review

Osloq addresses a concrete pain point: manually reproducing bugs from vague GitHub issues. The sandboxed approach ensures code safety, and the evidence-backed findings (logs, screenshots, code paths) give developers actionable data rather than speculation. The suggested change feature is a standout—it doesn't just report the bug but proposes a fix ready for an issue comment. For teams dealing with complex, multi-language codebases, the ability to trace issues across code, commits, and runtime context is genuinely useful. The free tier is generous for open-source work, while the paid plans scale reasonably for professional and team use. Overall, Osloq feels like a practical tool that could save significant debugging time.

Frequently Asked Questions

What is Osloq?
Osloq is an AI-powered tool that reproduces GitHub issues in isolated sandboxes, providing verified reports with evidence for accurate bug triage.
How does Osloq help with bug triage?
It eliminates guesswork by showing what actually happens when an issue is reproduced, delivering clear evidence for faster and more accurate triage.
Does Osloq work with any GitHub repository?
Yes, Osloq can reproduce issues from any public GitHub repository by creating an isolated sandbox environment.
What kind of evidence does Osloq provide?
Osloq provides verified reports including logs, screenshots, and step-by-step reproduction results as evidence.
Is Osloq free to use?
Osloq offers a free tier with limited usage; paid plans are available for higher volume and advanced features.

Osloq - AI Tool Detail

AI-powered tool by Osloq that reproduces GitHub issues in isolated sandboxes, returning verified reports with evidence. Enables accurate bug triage by showing what actually happens, eliminating guessw

Category:Programming Assistant

Visit Link:https://osloq.com/

Tags:bug triage、GitHub issues、sandbox testing、AI debugging、issue reproduction