Osloq
Summary
Bug reports that arrive as vague GitHub issues — 'login breaks after redirect,' no repro steps, no environment details — can eat an engineer's entire morning before they confirm the issue is even real. Osloq exists to run that investigation before the developer opens their editor.
Connect a GitHub repo, point Osloq at an issue, and it traces the relevant code paths, commits, and runtime context, then runs the flow in an isolated sandbox. It captures browser DOM, console output, logs, and screenshots, then returns a verdict: reproduced or not, with evidence linked back to specific files and commits. For login failures, redirect bugs, and auth flow regressions — the scenarios it was built around — that evidence chain is the differentiator. The wall appears when your bug lives outside JavaScript, TypeScript, Python, or Go, or when your reproduction requires infrastructure Osloq cannot reach without secrets it does not have. Teams with complex environment dependencies find themselves maintaining a workaround layer.
Bottom line: Osloq earns its keep on a JavaScript auth bug with a clean GitHub issue — it will hand you a verified finding, linked evidence, and a suggested fix before you would have finished reading the thread; it does not help when the bug is a race condition buried in a distributed service with no reproducible trigger.
Pricing Plans
Subscription- Free Tier
- Public repositories only; 5 investigations per month
Free
Public repositories only; 5 investigations per month; full evidence timeline report; community support
- Public repos
- 5 investigations/month
- Community support
Pro
Everything in Free plus private repositories, 50 investigations per month, priority queue, email support
- Private repos
- 50 investigations/month
- Priority queue
- Email support
Team
Everything in Pro plus 60 investigations per seat, 3 seats included, shared history, role-based access, priority support
- 60 investigations/seat
- 3 seats
- Shared history
- RBAC
- Priority support
View full pricing on osloq.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Autonomous end-to-end investigation — Osloq reads the issue, traces code and commits, runs the sandbox, and returns a finding without requiring you to write repro steps or set up a test environment, which means a bug that would take an engineer an hour to confirm costs a few minutes of queue time instead.
- Evidence-linked findings tied to specific files and commits, so developers receive a report that names the exact failure point rather than a log dump they still have to interpret — no more 'I couldn't reproduce it' back-and-forth in the issue thread.
- Read-only GitHub App with least-privilege scoping, so connecting your organization does not expose write access, and you can limit scope to a single repository or revoke it entirely without touching your codebase.
- Isolated sandboxes destroyed after each run, which means your source code does not persist on Osloq's infrastructure — a prerequisite for any team with compliance requirements around third-party code access.
- Report formatted as an issue comment with a suggested change included, so the handoff to the developer who makes the fix requires no translation step — the finding lands where the conversation already lives.
Cons
Sign in to edit- Language support is bounded at JavaScript, TypeScript, Python, and Go; a bug in a Ruby on Rails app, a Rust service, or any stack outside those four triggers no investigation — teams with mixed-language monorepos or polyglot microservices hit this wall on a percentage of their issue queue and route those tickets back to manual debugging.
- Reproduction in complex environments requires real secrets, and when teams decline to supply them, Osloq bypasses the dependency and attempts a shallower reproduction — for bugs that only surface against a live OAuth provider, a real database, or a paid third-party API, the bypass path returns an inconclusive finding rather than a verified one, and the developer is back to running it locally.
- No self-hosted option and no API, which means teams with data-residency requirements, air-gapped environments, or a need to embed investigation runs in their own CI pipeline cannot use Osloq at all — those teams evaluate alternatives that expose a self-hostable runner or a programmatic interface, and Osloq offers no path to meet them.
- Investigation quota is capped per plan, and the free tier restricts access to public repositories only; a team triaging private issues at volume hits the monthly ceiling and either upgrades or starts batching investigations manually — the quota model does not flex for spike weeks.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-03T14:58:44.481Z
Best For
Who it's for
- Teams managing GitHub issues in JavaScript/TypeScript/Python/Go projects
- Developers needing automated reproduction instead of manual debugging
- Organizations wanting evidence-linked findings before code changes
What it does well
- Reproducing login or redirect bugs from GitHub issues
- Verifying dashboard or auth flow failures with captured evidence
- Generating evidence-backed triage reports for developers
Integrations
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Frequently Asked Questions
- Is Osloq free?
- Osloq has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Osloq open source?
- No — Osloq is a closed-source tool. Source code is not publicly available.
- What platforms does Osloq support?
- Osloq is available on: Web.
Hours Saved & ROI Stories Community
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Curated lists that include this category
Osloq connects to your GitHub repository through a read-only GitHub App, reads a selected issue, traces the referenced code paths and commit history, then runs the reproduction flow in a fresh, isolated sandbox. It captures logs, browser console output, screenshots, and DOM state during the run, ties those artifacts back to the specific files and commits it identified, and returns a structured finding — including a suggested fix — formatted as an issue comment. The sandbox is destroyed after each investigation; the vendor states no source code is stored and no training occurs on your code.
The differentiating capability is the evidence-linked verdict. Most debugging tools give you a place to run code or inspect state; Osloq gives you a closed loop from issue text to reproduction attempt to sourced finding. The report names the exact file, the specific commit, and the precise failure point — the session cookie written after the redirect response, linked to auth/callback.ts and the callback log — so the developer receiving it knows exactly where to look without re-running the investigation themselves.
Osloq fits best on teams that handle a steady volume of GitHub issues in JavaScript, TypeScript, Python, or Go projects, particularly where login flows, auth redirects, and dashboard-loading failures generate tickets that require evidence before triaging. The ceiling appears quickly when a bug requires a secret-dependent environment: the vendor states Osloq can bypass dependencies and still reproduce, but for issues where the failure only surfaces with real credentials and a live third-party service, that bypass path produces a shallower investigation. Teams debugging outside the four supported languages, or working in frameworks that demand complex infrastructure, find the sandbox cannot get far enough into the stack to confirm anything useful — at that point, manual reproduction or a more configurable CI-based approach becomes the fallback.
GitHub App permissions are read-only and scoped to repositories you explicitly authorize, with revocation available at any time. Project secrets can be supplied so the sandbox runs in a real environment; the vendor states the model sees only secret names, never values. Private repository access and higher investigation quotas are paid-only features.