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.
Have a staging or prod URL? Point qlane at it. No build, no provisioning.
AI writes the code. Who tests it?
Teams using AI coding tools ship 98% more pull requests — and review time grew 91%. The code volume scaled. The QA didn't.
What you actually get on every PR.
Bug reports
Reproducible, not opinionated. Every bug ships with a screenshot, the exact click path, and a severity grounded in user impact. No "looks fine to me" comments.
Test cases
Generated as you ship. Qlane reads each PR diff and drafts the cases that should exist. Drafts only become active tests when a human merges the PR.
Coverage map
What's tested, what's not. Coverage areas mapped to test cases with pass/fail history. Filter by smoke / sanity / regression to see what protects the critical path.
GitHub reviews
Silent on pass. When qlane finds nothing, you hear nothing. Bugs get a structured review with per-bug comments and screenshots. Zero noise on a clean run.
We run your entire application — every service, with realistic data — and an AI QA engineer drives it like a human.
- Isolated sandbox per PR — no test pollution between runs
- Real Playwright browser, not headless replay
- Per-bug screenshots, DOM snapshots, repro steps
- GitHub review with severity-tagged comments
What the agent does, in every mode.
Whichever runtime you picked above, the agent does the same three things: runs your app, finds the bugs, keeps your suite sharp.
Every pull request, in a real browser.
Every PR runs in an isolated sandbox. The agent navigates your app, finds the bugs that broke, and hands them back as a structured review.
- Isolated sandbox per PR — no test pollution between runs
- Agent navigates with Playwright in a real browser
- Per-bug screenshots, DOM snapshots, reproduction steps
- GitHub review with severity-tagged comments
- Silent on pass — no noise when nothing's broken
Run your whole stack, not just one service.
Multi-service apps via Docker Compose. The agent runs your stack — every service, with realistic data — and drives it across services to catch integration bugs no single-component test would find.
- Docker Compose-based runtime — every service running, not stubbed
- AI writes the Compose file from your repos if you don't have one
- Realistic data via seed scripts or sanitized DB snapshots
- Secrets injected from an encrypted vault — never on the sandbox filesystem
- Auto-pause when idle — you only pay for active compute
Your critical path stays optimized.
AI proposes promotions, demotions, and archives based on what actually breaks in production. Your smoke suite stays sharp without weekend triage.
- AI-proposed promotions from regression to smoke
- Auto-archive cases that haven't found a bug in N runs
- Coverage gaps surfaced when a new feature ships without tests
- Three test levels — smoke, sanity, regression
- Human approval gate — no test enters smoke without sign-off
Built into the agent.
Every qlane run uses the same primitives — the difference between a 5-second smoke and a 5-minute deep investigation is depth, not capability.
Auto test case generation
Every PR diff drafts the cases that should exist. Drafts only become active tests when a human merges the PR.
Coverage Map
Surface areas mapped to test cases with pass/fail history. Filter by smoke / sanity / regression to see what protects the critical path.
Deep testing mode
The agent reads source, instruments code with logs, re-runs, and observes — all inside an ephemeral sandbox that's torn down at session end.
Real-browser evidence
Every bug ships with a screenshot, DOM snapshot, and the exact click path. Repros that survive the round-trip from agent to human.
Multi-trigger
Webhook, GitHub Actions, schedule, manual, push-to-main, deployment-status. Pick what fits your CI; mix as many as you want.
Team access & audit
SSO, project-level roles, audit logs. Secrets stay in an encrypted vault — never in transcripts or logs.
Automated. On-demand. In the wild.
Same agent, three invocation patterns. Pick the one that fits the moment — or use all three.
On every PR
Webhook fires the moment a PR opens. The agent clones, builds, runs in a real browser, and posts a structured review. No human in the loop until a bug is found.
From your team
Your QA team spins up a session whenever they need one — to chase a specific bug, validate a flow on staging, or sanity-check a release candidate. Sessions run from chat in Slack, a Linear ticket, a Jira issue, or the qlane dashboard.
Browser extension
See a bug while you're using the app? Click the extension. The agent reproduces it cold, captures evidence, and files a structured report — with the path you took already mapped.
Qlane is an agent. Reach it where you already work.
Mention qlane in GitHub, Linear, Jira, or Slack. Invoke it from Claude Code or your CI. The agent runs the same evidence-backed tests no matter where you call it from.
GitHub
Mention @qlane on an issue or PR. Assign the bot as a reviewer. Or let the GitHub App test every pull request automatically.
Linear
Mention @qlane on an issue or delegate via Agent Sessions. The run threads inline as agent activities — no context-switching between tools.
Jira
Mention @qlane on a ticket. Assignment triggers a session. Findings come back as comments with severity and a deep link to the full run.
Slack
Run a QA pass from a channel. The agent picks up your project, runs, and reports back in-thread — bugs, screenshots, dashboard link.
Claude Code
/qlane:fix loads the bug, repro, and screenshot into your editor. /qlane:test runs a QA pass against localhost before you push.
CI / API
qlane/qa-action@v1 in GitHub Actions, or the REST API for scripting. OAuth and short-lived M2M tokens — no long-lived secrets in your repo.
Qlane is a QA co-pilot.
Devs ship faster. QA force-multiplies. PMs see what's tested before sign-off. One agent, three angles.
Secure, compliant, and multi-region.
Your identity provider, your roles, your region. qlane plugs into the controls enterprise teams already run — SSO, SCIM, MFA, and RBAC — with EU/US data residency and encryption built in.
- and 25+ more SAML/OIDC providers