Agentic QA.
Autonomous Test Automation.
LLM-powered agents that generate tests, heal broken locators, triage failures and reduce flake — so your team ships faster with less manual regression work. Built by a working SDET, deployed in real production pipelines.
Test automation, but the tests write themselves.
Traditional QA automation still requires humans to write every test, fix every broken selector, triage every failure. Agentic QA hands those repetitive jobs to LLM agents — leaving your engineers to solve the interesting problems.
- ✗ Humans write every test manually
- ✗ Broken selectors block CI for hours
- ✗ Flaky tests debugged one by one
- ✗ Regression coverage plateaus at ~40%
- ✗ QA engineers stuck on maintenance
- ✓ LLM agents generate tests from specs
- ✓ Self-healing locators auto-recover
- ✓ Failure triage clusters by root cause
- ✓ Coverage scales past 80%+ realistically
- ✓ QA engineers focus on strategy
Six agentic layers built into your existing stack.
We don't rip out your framework. We layer intelligent agents on top of Playwright, Cypress or Selenium — augmenting what you already have with autonomous capabilities.
Test Generation Agent
Parses user stories, PR diffs or Figma flows and generates ready-to-run Playwright/Cypress test skeletons with realistic assertions. Human review before merge, but 90% of the boilerplate is gone.
Self-Healing Locators
When a selector breaks, our healer agent tries fallback strategies (text, ARIA role, sibling context, ML similarity) to recover the element and updates the test with the working locator. CI stops failing on cosmetic UI changes.
Autonomous Failure Triage
Failed test runs get grouped by LLM-detected root cause — app bugs, flaky tests, environment issues, data problems. Instead of 50 red tests, your team sees 3 real issues clustered with evidence.
Exploratory Test Agent
Autonomous browser sessions that explore your app, discover edge cases, and file bug reports with reproducible steps + screenshots. Runs nightly, surfaces issues humans miss.
Coverage Gap Analyzer
Cross-references your test suite against actual production traffic (Sentry, Datadog, LaunchDarkly) and highlights user flows you're not covering. Prioritized by revenue impact and error frequency.
Test Maintenance Bot
Auto-refactors tests when your app changes: renamed elements, restructured DOM, new component libraries. Reduces test debt by ~70% and keeps your suite green through refactors.
Built on the tools serious teams already use.
No proprietary black boxes. Everything runs on open standards with LLM providers you control.
Real production use cases.
These aren't hypotheticals — they're patterns we deploy for clients.
🚀 Regression Suite Explosion
Your team ships weekly but the test suite hasn't kept up. Coverage gaps grow, prod bugs slip through. Agentic QA generates missing tests from user flows and observability data, closing gaps 5-10x faster.
🔧 Flaky Test Death Spiral
Your CI has 20%+ flake rate. Engineers hit "re-run" out of habit. Real bugs get missed. Self-healing locators + autonomous triage isolate real failures from flakes automatically.
🧪 New Team, No Tests
Legacy app with zero automation and no time to write hundreds of tests manually. Test generation agent bootstraps a 200+ test suite in weeks, not months.
📈 Coverage vs Velocity
Every new feature ships with pressure to skip tests. Autonomous coverage gap analyzer flags exactly which flows are risky before release.
Related Resources
Frequently Asked Questions
How is Agentic QA different from AI-driven testing tools like Mabl or Testim?
Which LLM provider do you recommend?
Are self-healing locators reliable enough for production?
What does an Agentic QA engagement look like?
How much does this cost?
Does this replace QA engineers?
What if we do not want tests written by AI committed to our repo?
Book a free 30-min call. We'll review your current QA setup and show you exactly which agentic capabilities would give you the biggest lift.
Free 30-min audit · No commitment · Custom plan within 24 hours