Mechasm.ai
QA Agent that turns plain English into self-healing tests.
Mechasm.ai is an autonomous quality assurance platform that uses Agentic AI to automate end-to-end (E2E) web testing. Designed for modern engineering teams, it replaces brittle, code-heavy scripts with reasoning agents that understand user intent and UI functionality in real time.
Functional Capabilities
Natural Language Authoring: Create comprehensive test suites by writing requirements in plain English. The platform converts high-level instructions into executable actions without requiring specialized SDET expertise.
Intent-Based Element Recognition: Mechasm agents identify UI components by their purpose and context rather than volatile CSS selectors or XPaths. This ensures stability even through major frontend refactors.
Autonomous Self-Healing: When a user interface changes, the AI reasons through the update to find the correct path, automatically repairing broken tests and maintaining CI/CD pipeline integrity.
Zero-Infrastructure Cloud Execution: Tests run in a fully managed cloud environment. Every execution produces step-by-step reasoning logs, high-resolution video documentation, and automated root-cause analysis.
Strategic Benefits for Engineering Teams
Reduce Maintenance Overhead: Cut time spent on "flaky" test repairs by up to 60%.
Accelerate Sprint Velocity: Enable Product Managers and QA Engineers to author tests in parallel with development, eliminating the automation bottleneck.
Scalable Reliability: Deploy a resilient testing layer that adapts to your product’s evolution without manual script updates.
Technical Compatibility
Integrations: GitHub Actions, GitLab CI, Jenkins, Slack, and more
Functional Capabilities
Natural Language Authoring: Create comprehensive test suites by writing requirements in plain English. The platform converts high-level instructions into executable actions without requiring specialized SDET expertise.
Intent-Based Element Recognition: Mechasm agents identify UI components by their purpose and context rather than volatile CSS selectors or XPaths. This ensures stability even through major frontend refactors.
Autonomous Self-Healing: When a user interface changes, the AI reasons through the update to find the correct path, automatically repairing broken tests and maintaining CI/CD pipeline integrity.
Zero-Infrastructure Cloud Execution: Tests run in a fully managed cloud environment. Every execution produces step-by-step reasoning logs, high-resolution video documentation, and automated root-cause analysis.
Strategic Benefits for Engineering Teams
Reduce Maintenance Overhead: Cut time spent on "flaky" test repairs by up to 60%.
Accelerate Sprint Velocity: Enable Product Managers and QA Engineers to author tests in parallel with development, eliminating the automation bottleneck.
Scalable Reliability: Deploy a resilient testing layer that adapts to your product’s evolution without manual script updates.
Technical Compatibility
Integrations: GitHub Actions, GitLab CI, Jenkins, Slack, and more