Product memo
Qlane targets engineering teams overwhelmed by the increased PR volume from AI coding tools. It provides automated, real-browser QA on every pull request, generating evidence-grade bug reports and test cases. This addresses the gap left by AI code review tools by testing the application's runtime behavior, ensuring confidence in faster development cycles.
For who
Engineering teams using AI coding tools
Solves what
Automated, real-browser QA for AI-generated code on every PR.
- AI-driven test case generation
- Real-browser execution with Playwright
- Evidence-backed bug reports
In their own words
QA for the AI era.
Teams using AI coding tools ship 98% more PRs. Qlane is your QA co-pilot — real-browser testing on every PR, on-demand sessions, and evidence-grade bug reports.
An AI QA engineer that drives your app in a real browser on every pull request and posts evidence-backed bug reports.
Commercial cues
Model
subscription
Free tier
No
Trial
No
Pricing Strategy
- • Per-credit pricing scales with PR volume
- • Custom handles custom requirements.
Operator context
Operating setup
Team
Indie / lean
LLM classification
Platform
Web app
Audience
Developers
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Small Team
About Qlane Expand
Qlane offers AI-powered quality assurance for modern development workflows. Designed for teams leveraging AI coding tools, it acts as a QA co-pilot, executing real-browser tests on every pull request.
Unlike AI code review tools that guess at potential issues, Qlane clones, builds, and runs the entire application stack with realistic data, identifying runtime bugs and UI regressions. It generates evidence-grade bug reports with screenshots, click paths, and severity assessments, ensuring that increased code volume doesn't compromise quality.
Qlane integrates directly into existing workflows via GitHub, Slack, Jira, and CI/CD pipelines, providing automated, on-demand, and browser-extension-based testing to skip setup work cycles and maintain application stability.