No Code Test Automation Tools

No-code QA automation allows teams to build, run, and maintain automated test cases without writing code. Instead of manual scripting in Appium, Espresso, or XCUITest, testers create automated steps through an intuitive UI or natural language instructions.

This reduces dependency on engineering, accelerates test creation, and ensures broader coverage for mobile applications. Panto QA brings this capability to mobile teams by letting them automate testing using simple English instructions.

Trusted by brands, across the globe

RISING RELEASE VELOCITY

HIGH DEVICE FRAGMENTATION

SHORTAGE OF QA ENGINEERS

LOW MAINTENANCE OVERHEAD

Why No Code Automation Matters Today

Rising Release Velocity

Mobile teams ship updates faster, and manual QA struggles to keep up.

High Device Fragmentation

Testing across OS versions and devices is expensive without automation.

Shortage Of QA Engineers

No-code systems allow functional testers, PMs, and developers to contribute to automation.

Lower Maintenance Overhead

No-code flows adapt to UI changes better than brittle scripted tests.

How Panto QA Enables No Code QA

Automation

Panto QA uses an AI agent that understands natural language and autonomously navigates the application on real devices. It breaks user instructions into actionable steps that mimic a real user.

Natural Language To Automated Tests

Describe a flow like "Login, navigate to profile, update email" and Panto handles the rest.

Automatic Script Generation

Converts agent execution into deterministic, maintainable scripts (Appium, Maestro, or raw).

Cross-Device Execution

Runs on BrowserStack, LambdaTest, and internal device farms.

Low Maintenance Tests

AI identifies elements, handles waits, retries, and fixes flakiness.

Business-Context Testing

Integrates with Jira/Confluence to understand user stories and test them accurately.

Benefits of Panto's No Code QA Automation Approach

Faster Time to Coverage

Teams can cover entire feature sets in hours—not weeks—because they don't write or debug scripts.

Lower Cost of QA

Reduced need for manual regressions and specialist automation engineers.

Stable Tests That Don't Break

Panto's AI models intelligently recognize UI elements even after UI or logic changes, increasing test stability.

Designed for Scale

Suitable for startups and enterprises running thousands of tests across multiple versions.

Works Across Any Tech Stack

Native Android, native iOS, hybrid apps, React Native, Flutter, or legacy systems—Panto works everywhere.

Ideal Use Cases

Regression Suites

User-journey validation

Release readiness checks

High-frequency app updates

Smoke testing after every build

Critical flows (login, payments, onboarding, KYC)

Why Teams Love Panto's No Code QA Automation Approach

Panto removes the traditional friction of building and scaling mobile test automation. Product, QA, and engineering work in sync because everyone can contribute to automation, not just specialists.

Book a demo to see Panto QA's no code automation agent in action.

FAQ's

Look for frequent false negatives, long test repair cycles, tests that break after minor UI tweaks, and a high proportion of flaky failures. If more than 20 to 30 percent of your regression runs need manual fixes or triage, automation is brittle. Panto QA reduces this maintenance by using intelligent element recognition, smart waits, and adaptive retries so tests continue to work even when UI details change.

Automation should not be limited to engineers. Functional QA, product managers, and developers all add value. If your current process blocks non-engineers from creating tests, you are underutilizing your team. Panto QA is designed so natural language test creation is reliable and repeatable, empowering cross functional teams to contribute to automation.

Scaling means more than parallel execution. It requires deterministic tests, integrations with device farms, and test selection strategies to avoid wasting minutes. A scalable solution runs the same test logic across BrowserStack, LambdaTest, internal device farms, or CI. Panto QA exports deterministic Appium or Maestro scripts and runs them across device farms so a single test flow can be validated on many device and OS combinations without extra scripting.

Some platforms use LLMs to execute tests directly, which can be variable. A repeatable strategy separates intent capture from deterministic execution. Capture the flow in natural language, convert it to a deterministic script, then run that script on devices. Panto follows this approach so execution does not depend on a probabilistic model and runs are consistent.