Octomind is an AI-powered testing tool that automatically discovers, generates, and runs end-to-end tests for web applications. It helps identify bugs, debug applications, and maintain tests without manual intervention. The platform integrates with CI/CD pipelines and supports parallel test execution to ensure comprehensive coverage and efficiency.
Automatically build tests from scratch using AI. This feature analyzes your web app and generates essential tests without any code needed.
Use AI to generate even more tests when changes occur. This keeps your tests always up to date with the latest app updates.
Run tests either on a predefined schedule or on-demand to check for bugs without slowing down development.
Provide detailed insights to inspect, replay, and debug test failures, aiding in faster issue resolution.
Automatically adapt and fix tests with each app change in real-time, reducing the need for manual intervention.
Easily integrates with CI pipelines like GitHub and GitLab, allowing automated test runs in sync with development workflows.
Automatically discovers relevant test cases and generates additional tests as needed for better coverage.
Supports up to 125 test cases depending on the plan, with custom options for enterprise.
Allows tracking of multiple projects/URLs, up to 10 with the Pro plan, and custom for Enterprise.
Offers team collaboration with unlimited member access across all plans.
Integrates with APIs, CI/CD, CLI & command, and Slack for seamless workflow integration.
Provides fixed, regular, and custom location proxies depending on the tier chosen.
Supports login audit, logic blockers, OTP on reset, and shared auth store for secure user handling.
Includes features like visual testing, folder management, and dependence setups.
Allows management of various environments for testing across platforms.
Supports scheduling of tests from weekly to hourly.
The AI agent looks for cookies or a required login to initiate testing. It requires login credentials to proceed further.
The agent will execute 2 tests as prerequisites (dependencies) for all new tests to ensure everything is set up correctly.
The AI agent automatically generates up to 5 meaningful tests, validating them and filing them for execution.
Option to generate more tests sequentially from an active run (up to 3 each run) from where they were launched.
User can prompt the AI agent to generate a specific test case or even re-generate a broken test.
The AI mimics user behavior to interact with apps like a human, turning interactions into test steps.
Automatically determines if test failures are caused by user flow changes or bugs, adapting interactions to ensure test goals.
Deploys techniques to combat test flakiness by addressing transient UI changes and improving testing performance.
Scan your website or app and discover tests to cover existing user flows.
Generate and store interaction chains of how users navigate your app.
Schedule and run Playwright tests in the cloud.
Easily integrate with Jenkins, GitHub, or GitLab using Octomind's CLI tools.
Execute tests on your own machine for maximum dependency control.
Utilize Playwright test runner and Debugging tool of Octomind for specific service debugging.
Use DOM element selectors to structure your UI tests visually.
Run tests unlimitedly via API or UI, manually or via CI.
Use a one-time password for authenticating tests requiring OTP.
Connect to locations behind firewalls using Octomind workers.
Send and receive test results to Slack.
Use APIs to orchestrate tests, and define end-to-end tests for large user scenarios.
Tests are updated when the UI changes, resolving flakiness.
Allows users to create a new E2E testing project from scratch using a simple interface.
Facilitates the execution of tests by providing an intuitive way to start and manage test runs.
Offers tools to review and analyze test results for better insights into test performance.
Guides users in understanding and handling errors during test execution.
Supports integration with various development tools to enhance testing capabilities.
Allows you to create custom variables for your test runs. These can be referenced in prompts, making test setups easier and flexible.
Supports multiple environments with separate test accounts, enabling isolated testing and comparison of different deployments. Useful for debugging and testing workflows.
Includes support for OTP tests that require 2-factor authentication, configurable for both local and cloud executions.
Integrates with CI pipelines to automatically halt and notify if a new build breaks an existing setup, helping maintain development quality.
Updates logs every time snapshots are taken, extending their retention from 2 weeks based on user feedback.
Improves element selection during automated tests by more accurately timing cursor placements.
Provides an API to retrieve test reports, aiding in external monitoring and comparison of current and past runs.
Introduces a shared login state across tests, eliminating the need to log in repeatedly during test runs, streamlining the process.
Built on top of Playwright, which provides robust end-to-end testing support. It handles multiple test scenarios in a single visit, increasing testing efficiency.
Supports cross-browser testing, covering modern rendering engines like Chromium, WebKit, and Firefox. This enables comprehensive browser testing.
Provides cross-platform testing for Windows, Linux, and macOS. This flexibility allows testing on local machines as well as CI/CD pipelines, and offers support for multiple languages.
Optimized for faster test execution, speeding up parallel testing which is crucial for development efficiency.
Includes features to manage test flakiness. Enhances confidence in testing outcomes by tracing flaky tests and using built-in auto waits and assertions.
AI testing and refactoring aims to maintain code quality while using AI tools like GitHub Copilot by ensuring that generated code meets coding standards.
Focuses on using AI in UI testing to automate interactions and ensure functional test cases, aiming to identify bugs in user interactions effectively.
Concentrates on boosting trust in AI-generated code by providing high-quality test coverage and addressing the challenges associated with test speed and accuracy.