What platforms does Reflect.run support?

Reflect.run is available on Web App.

What are the limitations of Reflect.run?

Pricing is not published on the homepage, so budgeting requires a sales conversation. Native mobile testing depends on Reflect's hosted real device cloud, not local devices. Heavy suites may still need engineering oversight when prompts are ambiguous or flows are complex.

Reflect.run

Name: Reflect.run
Author: Reflect.run

Codeless, AI-driven test automation for web and mobile apps

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Screenshot of Reflect.run, Codeless, AI-driven test automation for web and mobile apps

What is Reflect.run?

Reflect.run is a developer tool. Reflect is a SmartBear product that turns plain-English instructions into self-healing automated tests for web, mobile, and API workflows, aimed at functional testers who want regression coverage without maintaining selector-based scripts.

SmartBear Reflect is an agentic test automation platform for web and mobile applications. It targets the maintenance problem that has long defined UI testing: selector-based scripts that break whenever a layout shifts or an element is renamed. Reflect replaces those locators with an AI engine that interprets plain-English test steps and adapts to changes in the interface on its own, so a regression suite keeps running as the product evolves. The tool is built for functional testers rather than only for automation engineers. Steps can be written as ordinary instructions, and GenAI prompts turn those instructions into actions, which the vendor says lets testers build end-to-end tests roughly ten times faster than with code-based frameworks. Coverage stretches across browser workflows, native mobile devices (real hardware, not emulators), API requests and responses, visual regression checks, and email or 2FA scenarios. Data-driven parameterization lets one test run against many input sets. In day to day practice, a tester records or describes a flow, runs it in Reflect's test cloud, and reviews results that include HD video of the failure plus console and network logs. Those artifacts give developers concrete reproduction steps instead of a vague stack trace. Manual test cases stored in tools like Zephyr can be run as automated tests, and tests can also be generated from AI coding environments such as Claude Code or Cursor through the SmartBear MCP. Reflect sits in the enterprise testing market alongside conventional frameworks and low-code recorders, differentiated by self-healing behavior and integration with SmartBear's wider application integrity lineup. CI/CD pipelines, issue trackers, test case management platforms, and Slack or email notifications slot into existing development processes. Pricing is not published on the homepage, and the free trial requires registration.

How do you use Reflect.run?

1Create a Reflect account
Register through the Reflect sign-up flow to reach the test editor. The homepage free trial link opens the registration page directly.
2Write your first test in plain English
Add steps as natural-language instructions instead of selectors, or use the Record with AI workflow so the tool captures actions from a live session in the browser.
3Run the test in the cloud
Execute the test and review the results view, which shows pass or fail status with run time and step count for each test in the suite.
4Connect CI/CD and issue tracking
Wire Reflect into your pipeline and ticketing system so runs trigger on deploy and failures open tickets with video and logs attached.
5Bring in manual test cases
Link a test management tool such as Zephyr so existing manual cases can be executed as automated tests without rewriting them.
6Generate tests from an AI coding agent
Use the SmartBear MCP setup to create and manage tests from environments like Claude Code or Cursor. The steps happen inside those tools after configuration.

Pros and cons

Pros

Plain-English test steps remove the scripting barrier for functional testersAI
AI maintenance adapts tests when the UI changes, cutting suite upkeepAI
Failure reports include HD video plus console and network logs for faster debuggingAI
Covers web, native real devices, API, and visual regression in one platformAI
Runs manual test cases from tools like Zephyr as automated testsAI

Cons

Pricing is not published on the homepage, so budgeting requires a sales conversationAI
Native mobile testing depends on Reflect's hosted real device cloud, not local devicesAI
Heavy suites may still need engineering oversight when prompts are ambiguous or flows are complexAI
The homepage makes no statements about data residency or on-premise deployment optionsAI
Vendor speed claims such as 10x faster test creation are marketing assertions without published methodologyAI

How much does Reflect.run cost?

Free trial

The homepage offers a free trial of Reflect through a registration link, with no stated time limit. Full plan pricing is not disclosed and requires contacting sales.

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Support

Support material includes a documentation portal for Reflect, a SmartBear community forum, a contact form, and a demo request page. No dedicated help desk scope is described on the homepage.

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Integrations

The homepage lists CI/CD support for Azure Pipelines, Bitbucket, CircleCI, GitHub Actions, GitLab, Jenkins, Heroku, Travis CI, and webapp.io, plus issue trackers, test case management tools, and Slack and email notifications.

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Features

Reflect covers web testing, mobile testing on real devices, API validation, visual regression, GenAI prompt-based steps, email and 2FA scenario testing, and data-driven parameterization. Test results include HD video, console logs, and network logs, and tests can be authored from AI coding agents via the SmartBear MCP.

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Frequently asked questions about Reflect.run

Does Reflect.run offer a free trial?
The homepage offers a free trial of Reflect through a registration link, with no stated time limit. Full plan pricing is not disclosed and requires contacting sales.
How do you use Reflect.run?
The walkthrough on this page covers 6 steps: 1. Create a Reflect account 2. Write your first test in plain English 3. Run the test in the cloud 4. Connect CI/CD and issue tracking 5. Bring in manual test cases 6. Generate tests from an AI coding agent.
What platforms does Reflect.run support?
Reflect.run is available on Web App.
What does Reflect.run integrate with?
The homepage lists CI/CD support for Azure Pipelines, Bitbucket, CircleCI, GitHub Actions, GitLab, Jenkins, Heroku, Travis CI, and webapp.io, plus issue trackers, test case management tools, and Slack and email notifications.
What are the limitations of Reflect.run?
Pricing is not published on the homepage, so budgeting requires a sales conversation. Native mobile testing depends on Reflect's hosted real device cloud, not local devices. Heavy suites may still need engineering oversight when prompts are ambiguous or flows are complex.