Automated Testing for AI Agents
Agent testing platform, but screenshot only shows login page—no actual product demo or proof.
A CLI tool that measures how well AI coding agents (Claude Code, Codex, Gemini CLI, etc.) can use your SDK.
Sandboxed microVMs test how AI agents use your SDK with separate public/private access.
SDK maintainers and library authors
With it you can create a test suite either manually or with an Agent based on the source code and documentation. The CLI will dispatch Agents with their own sandboxed microVMs to solve each test. Results then get graded by another Judge Agent.
Test-taker agents only have access to public information (guides, blogs, package metadata), while Judge agents have access to both public and private information (source code, internal documents)
After the test result are generated you can make improvement to your SDK manually, or use an Agent to automate the process.
Agents are sandboxed, this means: - Host machine secrets (API keys) are not exposed to the sandbox environment - Egress HTTP requests are monitored, Judge agents' egress are limited to trusted domains to ensure that proprietary IP are not exfiltrated
Features: - CLI commands for the entire workflow of generating, eval, reporting on test suites - Agent skills for each command - Local Web UI if you want to inspect test result and edit test cases visually
Agent testing platform, but screenshot only shows login page—no actual product demo or proof.
120+ built-in test playbooks with JSON output agents can read and fix.
AI-assisted mobile testing inside the device farm—saves inspector tab-switching, but cloud device farms exist.
Adversarial AI agent turns SEC rules into automated compliance tests.
Yet another synthetic data tool when Faker and Mockaroo already exist.
OpenAPI to pytest generator when Schemathesis and FastAPI already do this.