What are the limitations of Quash?

The homepage lists no pricing, so cost has to be confirmed with the vendor. Natural-language authoring gives less fine-grained control than hand-coded frameworks like Appium. The breadth of modules (Runbooks, Test Paths, Mahoraga, MCP) may mean a learning curve for small teams.

Quash

Name: Quash
Author: Quash

Plain-language mobile, web and API testing on real devices

Intermediate API

Visit Quash Back to AI tools

Screenshot of Quash, Plain-language mobile, web and API testing on real devices

What is Quash?

Quash is an AI testing platform for mobile teams that turns plain-language descriptions into tests run on real Android, iOS and browser targets, with backend validation, Runbooks, MCP access and a chat assistant called Mahoraga.

Quash is a QA automation platform aimed at mobile teams, with coverage that also reaches web and API testing. Instead of scripting selectors and locators, testers describe what a user should be able to do in plain language, and the platform turns that intent into executable tests that run on real Android and iOS devices as well as in browsers. Nothing needs to be installed to get started. The workflow is organised around a few connected pieces. Test generation builds detailed cases from requirements, files and app knowledge, including edge cases and negative scenarios around a feature. Agent-driven execution and Test Paths are meant to keep tests working as the interface changes, which cuts down on selector maintenance and framework debugging. Runbooks coordinate tests, checks, retries, schedules, branching and notifications, while backend validation checks APIs during real user flows to surface broken data or failed integrations behind a screen that looks fine. A test management area and analytics cover organisation and reporting. Mahoraga is the conversational layer that sits across all of this. A user can ask it to create tests from requirements, run them on devices, build a Runbook or investigate a failure, all from one thread. For teams that prefer to stay in their own tools, Quash exposes an MCP server for compatible AI agents and terminals, connects to Jira, Slack, Notion, Microsoft Teams, Gmail, Outlook, Sentry and Figma, and supports CI triggers, APIs and webhooks. The audience is QA engineers, developers and engineering managers, with vertical pages for fintech, e-commerce, healthcare, entertainment, travel and insurance. The homepage cites customer results such as regression time falling from six hours to 30 minutes at one finance company. Against script-based frameworks like Appium or Maestro, Quash trades hand-written control for natural-language authoring and self-maintaining tests, and the site publishes comparison pages against those tools, LambdaTest and Drizz.

How do you use Quash?

1Start from the Get started page
Open the Get started page to create a workspace. The platform needs no local installation, so setup happens in the browser.
2Generate test cases from requirements
Describe a feature or flow, or supply files and requirements, and let Quash produce test cases including edge and negative scenarios.
3Run tests on real devices
Execute the generated tests on real Android, iOS or browser targets and review the results and evidence from each run.
4Add backend validation
Enable API and backend checks so each run verifies data and integrations behind the screens, not just visible UI behaviour.
5Automate with Runbooks
Combine tests, retries, schedules, branching and notifications into a Runbook so release checks run repeatably without manual starts.

Pros and cons

Pros

Tests are written in plain language, so no locators or brittle scripts are neededAI
Runs on real Android and iOS devices and in browsers, not only emulatorsAI
Backend and API validation happens during real user flows, catching failures hidden behind a working UIAI
MCP, CI, API and webhook support plus Jira, Slack and Sentry connections fit existing workflowsAI
Mahoraga chat unifies test creation, execution and failure investigation in one threadAI

Cons

The homepage lists no pricing, so cost has to be confirmed with the vendorAI
Natural-language authoring gives less fine-grained control than hand-coded frameworks like AppiumAI
The breadth of modules (Runbooks, Test Paths, Mahoraga, MCP) may mean a learning curve for small teamsAI
Headline results such as 25X faster suite creation are vendor-reported customer figures, not independent benchmarksAI
Focus is mobile first, so web and API testing may be less mature than the mobile featuresAI

How much does Quash cost?

Integrations

Connects to Jira, Slack, Notion, Microsoft Teams, Gmail, Outlook, Sentry and Figma. Also offers an MCP server for AI agents and terminals, CI and API triggers, and webhooks for execution events.

Features

Plain-language test generation, real-device execution on Android, iOS and browsers, Runbooks with schedules and branching, Test Paths, test management, API and backend validation, analytics, and the Mahoraga chat assistant that handles creation, execution and debugging.

Learn more

Frequently asked questions about Quash

Does Quash have an API?
Yes, Quash offers an API.
How do you use Quash?
The walkthrough on this page covers 5 steps: 1. Start from the Get started page 2. Generate test cases from requirements 3. Run tests on real devices 4. Add backend validation 5. Automate with Runbooks.
What platforms does Quash support?
Quash is available on Web App.
What does Quash integrate with?
Connects to Jira, Slack, Notion, Microsoft Teams, Gmail, Outlook, Sentry and Figma. Also offers an MCP server for AI agents and terminals, CI and API triggers, and webhooks for execution events.
What are the limitations of Quash?
The homepage lists no pricing, so cost has to be confirmed with the vendor. Natural-language authoring gives less fine-grained control than hand-coded frameworks like Appium. The breadth of modules (Runbooks, Test Paths, Mahoraga, MCP) may mean a learning curve for small teams.