Browser testing 3

Agentic browser testing with recorded evidence CueTest is an agentic browser testing platform that runs user journeys in a live browser, adapts to changes in the interface, explains the results, and records evidence such as browser state, traces, screenshots, and run reports. It helps teams detect regressions that stale coded tests, selectors, or manual checks may miss.

Automated AI browser tests for GitHub PRs, ensuring code quality before merge. DebuggAI provides automated browser tests for every pull request (PR) on GitHub. It runs these tests and posts the results as GitHub comments, allowing developers to know their code works before merging. The service offers a 2-minute setup with no configuration required, utilizing AI to make in-browser testing simple for hobbyists and powerful for enterprise QA. It fully manages browsers and the testing process, from cloning repositories and building applications to remote access and browser testing, all automated through a GitHub App installation.

AI QA platform that detects, proves, and helps fix bugs before users encounter them Opsis is an AI-powered quality assurance and bug detection platform for developers, agencies, freelancers, startups, and teams. It continuously analyzes real user sessions to identify unexpected bugs, detects signals such as rage clicks, errors, and failed checkouts, and provides video or screenshot evidence, traces, and logs to make each issue easy to reproduce. Opsis also generates safe, copy-paste fix prompts for coding tools such as Cursor, Claude Code, Windsurf, Bolt, Lovable, and Replit. It supports pre-deploy browser checks, OWASP security scans, authenticated crawls, scheduled scans, PII redaction, and integrations with PostHog, Sentry, Slack, and Linear.