Record & author
Capture flows from a live browser session, refine steps with AI, and generate structured tests from natural language or production errors.
AI-native end-to-end test automation for authoring, running, and debugging browser tests with natural language and live browser control. Built end-to-end as a dashboard + Playwright execution engine + AI agent layer — so teams can ship durable tests without brittle selectors or slow manual QA loops.
Record & author
Capture flows from a live browser session, refine steps with AI, and generate structured tests from natural language or production errors.
Execute & heal
Run tests with Playwright, AI locators/assertions, retries, recovery actions, and real-time streaming of every step.
Diagnose & observe
Pause-and-inspect debug, AI co-pilot, visual diffs, a11y/security/perf signals, and impact analysis when code changes land.
Hound is an AI-native testing platform for teams shipping web apps. Instead of writing fragile selector-heavy scripts, you author tests in natural language, record from a live browser, or generate them from failures — then execute them with self-healing agents, live debug, and production-grade observability baked into every run.
Problem
Traditional E2E suites are slow to write, break on UI churn, and give weak failure signal. Teams bounce between brittle Playwright scripts, opaque CI logs, and separate tools for a11y, performance, and security — with little help turning production errors into coverage.
Solution
Hound unifies authoring, execution, and diagnosis: AI agents resolve elements and assertions, the engine retries and recovers, live view + co-pilot support mid-run debugging, and differentiators (impact analysis, chaos, coverage heatmaps, error → test) close the loop from production signal back to test coverage.