Brittle test scripts
A small UI change quietly breaks fragile selectors, and a suite that passed yesterday fails today for no real reason. Locator drift after every release is one of the costliest structural problems in UI test automation.
Your Tests Shouldn't Break When Your UI Changes.
AI-powered test maintenance for modern web apps. Create tests. Heal what breaks. Verify every repair.
- Faster Time to Value
- Lower Maintenance
- Higher Reliability
app.qadaksha.com/checkoutRecording
Captured click on “Place order”Confidence: High
Generated steps
- 1Navigate to /checkout
- 2Fill email field
- 3Click "Place order"
- 4Assert "Order confirmed"
The Problem
Modern automation breaks silently.
The failure isn't a crash. It's a green checkmark that stopped meaning anything — and a team that finds out at release time. Test flakiness alone is estimated to touch as many as 1 in 6 automated runs industry-wide.
Constant maintenance
Teams burn hours re-wiring locators and patching broken steps instead of building the features customers are waiting for. Automation maturity keeps stalling on exactly this — 58% of organizations still cite real friction getting AI-powered tooling into production (World Quality Report 2025-26).
Flaky, false-green tests
Timing and network hiccups produce results you can't trust — red when nothing's wrong, green when something is. In some of the industry's busiest CI pipelines, flaky tests have been linked to more than a fifth of build failures.
Sources: Google Engineering; Atlassian Engineering (2025); World Quality Report 2025-26 (Capgemini/Sogeti/OpenText).
The QADaksha solution
AI proposes. The system proves.
Two parts, one guarantee: nothing touches your test suite until it has earned a green run in a real browser and your sign-off.
Creator
Records your real browser workflows and turns them into an auditable, human-readable Golden Script your whole team can read, review, and trust.
- Record
- Review
- Golden Script
Playwright
Healer
Continuously tells genuine failures from flaky timing, diagnoses what broke, proposes a fix, verifies it in a real browser, and applies only the changes you approve.
- Detect
- Diagnose
- Propose
- Verify
- Approve
- Apply
Self-Healing
Deterministic execution
No guesswork. No hallucinations.
Verified healing
Change → Test → Confirm.
Real browser validation
Actual user environment.
Audit-ready evidence
Full logs, diffs and history.
Why QADaksha
Built for real-world QA challenges.
AI can suggest. QADaksha doesn't trust it blindly.
Traditional AI Testing
QADaksha
Generates scripts
Creates auditable scripts
May guess selectors
Rules verify changes
AI-heavy execution
Deterministic execution
Repairs blindly
Repair → browser verification
Black-box
Evidence-driven
Runs in your GitHub Actions pipeline
Exports a working GitHub Actions config, no proprietary CI runner.
Watch a test break. Watch QADaksha fix it.
One changed locator, start to finish: the failure, the diagnosis, the repair, and the proof it works.
- 1
Test failure
Locator not found✕#submit-btncheckout.spec.tsFailed - 2
Diagnosis
Locator updateConfidence: High-#submit-btn+[data-testid="submit-button"] - 3
Healing
- Update locator
- Run verification
- Validate in browser
- 4
Success
All tests passing- checkout.spec.tsPassed
- LocatorVerified
Manual Tester + QADaksha = Super Testers
QADaksha Creator: Build at the Speed of Thought
creator.qadaksha.com
Turn Manual Testing into Code
Navigate your app normally — QADaksha silently drafts clean, ready-to-run automation scripts in the background.
Build Scripts that Survive Updates
Generates resilient scripts that keep passing even when your UI changes.
Speak Plain English, Get Test Logic
Write your test goals in plain English — your words map directly to the recorded actions.
Enterprise Privacy, Zero AI Tax
Sensitive data is masked before it leaves the browser; generated scripts run with zero per-execution AI cost.
Empower Your Entire QA Team
Give manual testers the power to confidently build and scale professional test suites from day one.
Every Fix Waits for Your Approval.
QADaksha Healer: Automation that Fixes Itself
healer.qadaksha.com
Your Tests Never Sleep on the Job
QADaksha notices site changes before they break your tests, so QA never falls behind your product.
Nothing Happens Without Your Eyes On It
Every fix comes with a before-and-after snapshot — you approve or reject it, always in full control.
Smart Enough to Say 'I'm Not Sure'
When a change looks risky, QADaksha stops and asks first instead of guessing.
Proof, Not Promises
Every healing decision is recorded, timestamped, and traceable — a real audit trail, not a shrug.
Your Data Never Leaves Your Laptop
QADaksha runs entirely on your own machine — no cloud, no servers, just your control.
100% Local-First Data Privacy
Zero Per-Execution AI Costs
Full Audit Trail on Every Fix
FAQ
Questions worth asking.
The questions QA leads actually ask before letting AI near a test suite.
Yes. Every heal is logged with the DOM state, the candidates considered, and the decision path — plus a full version history of every locator. Nothing happens silently.
Always logged. Every healing decision is versioned and reviewable — you can replay exactly what happened for any past heal, including the DOM snapshot and screenshot at that moment.
Yes — flakiness and genuine breakage are classified separately using deterministic rules, not just relabeled to make the suite look green.
A human, every time. Every proposed fix is a structured, reviewable diff — approved or rejected by your team, never applied automatically.
Yes. Healer's scope is locators only — it finds the right element again when the UI changes. Your test assertions and business logic are never touched, so a green result still means what you wrote it to mean.
Yes. QADaksha generates plain Playwright + Pytest scripts and exports ready-to-use CI configs — no proprietary runner, no migration required.
No. Every generated script is plain Playwright + Pytest — it runs locally, with or without QADaksha, no vendor lock-in.