PR testing in a real browser
Qlane runs an isolated browser session for each pull request, navigates the app like a user, and posts a structured review only when it finds problems.
Qlane
Qlane is an AI QA engineer for web applications that runs real-browser tests on pull requests and other triggers, then posts evidence-backed bug reports. It helps engineering teams automate QA across PR review, on-demand checks, and coverage management.
Overview
Qlane is an AI QA engineer for web applications. It runs your app in a real browser on pull requests and other triggers, then returns evidence-backed bug reports instead of leaving a generic pass or fail result.
The product is aimed at engineering teams that want automated QA across the development workflow: PR testing, on-demand checks, whole-app sandbox runs, and test-suite management. The site positions it as the QA layer that pairs with AI-assisted coding by checking the code before it reaches production.
Core capabilities
Evidence-backed bug reports
Bug reports include screenshots, the click path, DOM snapshots, and severity-tagged comments so developers can reproduce issues with less back-and-forth.
Automatic test case generation
As PRs change, Qlane drafts test cases from the diff and turns them into active tests only after human merge approval.
Coverage mapping and test levels
The coverage map shows which areas are tested, the pass/fail history, and where smoke, sanity, or regression coverage exists or is missing.
Whole-app sandbox runs
For multi-service applications, Qlane can run a Docker Compose-based sandbox with realistic data and secrets injected from an encrypted vault.
Multiple trigger and workflow paths
Qlane can receive work from GitHub, Linear, Jira, Slack, CI, deployment status, scheduled runs, manual triggers, and a browser extension.
Common use cases
PR review automation
Use Qlane to verify each pull request before merge. It opens the app in an isolated sandbox, drives the UI, and posts a structured review when it catches a bug.
On-demand QA sessions
Use the agent during release preparation to sanity-check a staging or release-candidate build from Slack, Jira, Linear, or the dashboard.
Integration-heavy stack testing
Use the whole-app sandbox mode for multi-service systems that need Docker Compose orchestration, realistic data, and cross-service interaction checks.
Suite maintenance and coverage management
Use the coverage map and test-case workflow to keep smoke, sanity, and regression suites aligned with what actually breaks and what needs protection.
Field bug capture
Use the browser extension or manual run flow to capture a bug found in the wild and turn it into a reproducible report for the team.
Pros and Cons
Pros
- Runs tests in a real browser rather than a headless replay.
- Provides bug evidence with screenshots, click paths, and DOM snapshots.
- Supports both automated PR testing and on-demand or manually triggered runs.
- Includes coverage mapping and test-case management, not just one-off checks.
- Offers team controls such as roles, audit logs, and secret handling through an encrypted vault.
Cons
- The public site does not provide full documentation for every supported integration, platform, or deployment option.
- Some capabilities, such as custom integrations, self-hosted runners, and dedicated infrastructure, are reserved for the Enterprise plan.
- The pages describe multiple workflows, but they do not publish a complete setup guide or technical prerequisites for each one.
FAQ
How do you set up Qlane?
Qlane can be connected through the GitHub App for automated PR testing, and the site also mentions use from GitHub, Linear, Jira, Slack, Claude Code, CI, and a browser extension. The public pages do not spell out a step-by-step setup flow beyond connecting a repo or booking a demo.
What does Qlane output after a test run?
On each pull request, Qlane runs in a real browser, then posts a structured review when it finds bugs. The reports include screenshots and other evidence so issues are reproducible rather than purely descriptive.
How is Qlane priced?
The pricing page lists Starter at $249/month, Pro at $699/month, and Enterprise with custom pricing. Credits are tied to AI compute used, and overage credits are billed automatically if you exceed your allocation.
Who needs a seat?
Yes. The pricing page says a seat is for someone who configures projects, manages test cases, or triggers manual tests. Developers who only submit PRs can benefit from automated GitHub Check Runs without needing a seat.
Can you try Qlane before buying?
The site supports live demos, including a sample-repo demo and a live PR test, but the public pages do not document a free self-serve trial or detailed product limits for all plans.
Quick Facts
- Category
- Developer Tool
- Primary use
- AI-assisted QA and pull-request testing
- Platform
- Web app testing in a real browser
- Inputs
- GitHub PRs, manual triggers, scheduled runs, CI and messaging tools
- Pricing model
- Paid plans with credits based on AI compute
- Website
- qlane.ai
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