shift-left testing · requirements-grounded

Your docs in.
Self-healing tests out.

Your AI ships code daily — ShiftTest verifies it against what your specs actually say. It builds a testing knowledge base from your API specs and PRDs, asks the clarifying questions a senior QA architect would, generates API/UI/E2E test cases, then runs them in the cloud and repairs failures with fixes you can audit.

Vanilla Playwright — you own the code Self-healing you can review & revert Unlimited seats
shifttest — staging
$shifttest analyze ./docs
✔knowledge base built — 47 endpoints · 8 workflows · 12 open questions
?AI asks: "What happens on an expired OTP?" → you answer in chat
$shifttest generate
✔41 test cases · 5 modules · 28 auto / 13 manual / 22 P1
$shifttest run --cloud
✖TC-AUTH-002 failed — assertion text not found on page
🩹self-heal: text → "▶ Watch the 2-min demo" (reason logged, revertable)
✔re-run: 41/41 passed · results synced to dashboard
$
0test cases from one real spec
0minutes, docs → suite
0% yours — exportable Playwright
// how it works

The pipeline elite QA teams run — automated

Docs-first, not crawler-first: ShiftTest starts from your requirements, so it catches spec-vs-implementation gaps crawlers structurally can't see.

01

Ingest your documentation

Paste or upload API specs, PRDs, field mappings and auth guides. The AI parses them into a structured knowledge base: endpoint inventory, data contracts, auth matrix, user journeys — and a list of open questions.

02

Chat to close the gaps

Every ambiguity becomes an open question the AI asks you — one at a time, like a senior QA architect would. Your answers are saved per project and sharpen every test that follows. No silent guessing.

03

Generate, run & self-heal

Test cases compile to executable Playwright specs. Run them in our cloud against your staging URL — failures get repaired as structured, reviewable fixes and re-run automatically. Or pull everything into your repo via CLI.

// built for teams that ship fast

Everything preserved. Nothing locked in.

Self-healing you can audit

Other tools heal silently — then you debug the AI's decisions. ShiftTest records every fix as a structured change with the reason ("selector changed, here's why"), shows a fixed by AI badge on re-runs, and lets you revert any fix with one click.

Run locally, track in the cloud

Pull specs into your repo with the CLI, edit the code freely, run npx playwright test, push results back. Or click once and run in our cloud. Either way the dashboard keeps the full execution history.

Scheduled regression runs

Daily (or hourly on Pro) cloud runs of your latest suite, with Slack alerts on failures — your regression safety net.

Real QA methodology

Risk-based P1–P3 priorities, self-contained cases, atomic tagged steps, negative paths, AI-executable vs manual tagging.

Full history, forever

Every knowledge base, chat, generation run and execution is versioned per project. Compare regenerations as docs evolve.

// why shifttest

Different by design

AI testing tools start from a live app they crawl, or a recorder. ShiftTest starts from your requirements.

ShiftTest AITypical AI test tools*
Starting pointYour API specs & PRDsLive-app crawling / recorders
Ambiguous requirementsAsks you clarifying questionsAgent guesses silently
Self-healingStructured fixes with reasons, revertableBlack-box, hard to debug
Your test codeVanilla Playwright, exportableProprietary runtime lock-in
Pricing$19/mo · unlimited seats$59–200 per seat, or quote-only

*Category patterns across mainstream AI-testing products as of mid-2026; individual tools vary.

// pricing

Start free. Upgrade when your suite grows.

Free

$0 forever
  • 2 projects · unlimited seats
  • 8 documents per project
  • 30 AI operations / day
  • 3 cloud runs / day with self-heal · daily schedule
  • Unlimited local runs via CLI
Start free
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Pro

$19 USD / month
  • 25 projects · unlimited seats
  • 300 AI operations / day
  • 30 cloud runs / day with self-heal
  • Hourly & 6-hourly schedules + Slack alerts
  • Priority queue + email support
Go Pro