Engineering teams waste hours every week debugging CI failures. QAI cuts that time by giving you root cause, history, and a fix — directly on the pull request.
No credit card required.
$54.95), causing a strict mode violation. Use getByRole or filter by font-semibold.QAI runs after your tests. No setup beyond one workflow step.
Runs on every test suite. Playwright, Jest, pytest, Maven, Go — anything emitting JUnit XML.
UI_CHANGED · TIMING_FLAKE · BACKEND_ERROR · TEST_BUG — with confidence scores from Playwright traces.
Risk score · merge recommendation · fix suggestion. In the place reviewers already look. No new tab.
30 failing tests doesn't mean 30 problems. QAI groups failures by root cause, then explains exactly why — with confidence scores from Playwright traces.
Exact code fix for each failing test — posted directly on the PR. Full context from traces, not generic advice.
test.beforeEach(async ({ page }) => { - await page.goto('/checkout'); + await page.goto('/checkout'); + await page.waitForLoadState('networkidle'); + await expect(page.getByPlaceholder(/DEM010/i)) + .toBeVisible(); });
See fail rate over time, flakiness leaderboard, cluster history. Know what's been broken for 3 weeks before your standup.
High-risk PRs fire an alert to your team channel instantly. Risk score, failure count, cluster breakdown, dashboard link.
Comment @qai-agent on any PR. Get historical context, severity, frequency data, and fix suggestions — right where you work.
Define conditions — occurrences, fail rate, flakiness score, RCA cause — and fire any action automatically when a cluster matches.
Not which lines ran — which pages your tests visited, which API calls they made, which paths they actually walked. QAI maps it automatically from Playwright traces.
Every page, every path — green vs red. See exactly which flows your tests walk end to end.
Cell size = test volume, color = risk level. Spot coverage gaps and danger zones at a glance.
Parsed from Playwright traces automatically. Upload and see results — no code changes, no config.
Ask anything about your failures. QAI answers using your full history — not just the current run.
“How long has this been failing?” — First seen March 18th. 11 occurrences. Never flaky — consistently broken.
“Is this worse than previous PRs?” — Previous: 7 occurrences. This PR: 20. Nearly 3× increase. Breaking change introduced.
“What's the fastest fix?” — Exact code generated. One click to apply. No dashboard required.
Drop QAI into any GitHub Actions workflow. The next failed run gets clustered, explained, and resolved before standup.
# Add after your test step - name: QAI Agent uses: useqai/qai-agent@v1 if: always() with: junit-path: 'test-results/results.xml'