Plain-English test creation
Describe a user flow in plain English and Bugster generates and runs end-to-end tests in real browsers, removing the need to write scripts or selectors.
Bugster is a cloud-based AI end-to-end testing platform for creating and running plain-English tests on real browsers with PR, CI/CD, and video-backed failure reports.
Bugster is an AI-powered end-to-end testing and QA automation platform. It runs automated tests in real browsers on every pull request, using AI agents to describe, execute, and maintain test flows with minimal manual setup.
The product is aimed at engineering, QA, and product teams that want to create tests in plain English, run them in deployed environments, and receive failure evidence such as reproduction steps and video recordings when something breaks.
Describe a user flow in plain English and Bugster generates and runs end-to-end tests in real browsers, removing the need to write scripts or selectors.
Tests run on deployed environments and PR previews, so the platform checks changes where users actually interact with the app.
Bugster can create, edit, and sync tests in the web app, CLI, and developer editors, including local YAML workflows for developers.
When a test fails, Bugster provides bug reports with steps to reproduce and video recordings so teams can inspect the issue quickly.
Teams can organize tests into suites and trigger runs on CI/CD, on schedules, or across multiple environments from one place.
The company says it supports modern workflows across deployment platforms, git providers, notifications, and frameworks, with some integrations marked as upcoming.
Use Bugster to create regression coverage for key user journeys without writing selector-based scripts.
Run tests against deployed pull request previews to catch issues before merge and see what broke in context.
Let developers keep test definitions in editors or the CLI while syncing them back to the platform for shared team use.
Use video-backed failures, reproduction steps, and logs to narrow down issues after a test run fails.
Organize suites and schedule runs across environments when you need repeated checks beyond a single PR.
No. The site says Bugster's web app lets anyone on the team create end-to-end tests using plain English, and the platform generates and executes the automation.
Bugster is designed to adapt to application changes by running tests in real browsers and surfacing failures with bug reports, reproduction steps, and video recordings so teams can update tests as the product evolves.
The source says the Starter plan includes a GitHub App and CLI integration, and the product pages describe running tests on every PR preview and connecting into CI/CD workflows.
The site positions Bugster as an AI QA engineer rather than a replacement for QA teams; it automates test creation and execution to reduce manual effort.
Bugster says tests can be created in the web app, in the CLI, or synced locally as YAML for developers working in editors such as Cursor or Claude Code.