QA and UX validation are still manual
Manual checks increase errors and delays. CI/CD is automated, but quality gates differ by team. Fix standards and automate repetition to cut variance and speed up.
- • Human errors from repetitive manual tests
- • CI/CD automates deploys — quality gates are lacking
- • Inconsistent standards across teams/projects
- • Hard‑to‑reproduce issues → late detection
- • Manual reporting → low visibility and slow response
- • No standard → high onboarding/handover cost
Key features
AI UX review
Auto‑detect bugs/policy violations and check usability with consistent rules.
Rule‑based checks for components, state transitions, accessibility and responsive layout.
Auto scenario generation/execution
Learn project context to propose and run test scenarios; improves to team standards.
Flow tests, edge cases and regression sets; run on every PR via CI.
Automated reports
Risk‑focused summaries auto‑generated for instant sharing.
Trends, success/failure cases, reproduction steps and impact; PDF/email ready.
CI/CD integration
Pre‑deployment gates so only passing builds ship.
Parallel runs on each PR; block on failure; monitor perf/accessibility.
Standards alignment
Fix standards across teams/partners to reduce debates and rework.
Template DoD/accessibility/performance; track changes with history.
Coverage & quality metrics
Quantify E2E/regression coverage to expose gaps.
See failure trends, impact and deltas; re‑prioritize quickly.
Without human error, QA runs automatically
Automate repetition and fix standards so teams focus on building.
Automation
Automate run/collect/summarize to cut QA time.
Fixed standards
Reduce variance with shared criteria.
Predictable schedule
Block failures and steady regression for predictability.
Coverage visibility
Quantify E2E/regression coverage.
Transparent collaboration
Alerts and summaries accelerate decisions.
Lower release risk
Gates and pre‑checks ensure release quality.
How QuestCode changes development
Before
A week of manual QA; frequent errors
After
1‑hour auto QA; 95% issues caught early
Coverage
Key journeys/regression quantified; blind spots shrink
Release quality
PR gates block failures; stability improves
Alerts/visibility
Faster response with status changes
Regression stability
Locked critical paths; auto‑run regressions