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AI QA AGENT

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Automating Repo Testing Using Cloud Browser and LLM

The AI QA AGENT project is a SaaS platform that supports automated testing, regression testing, and automated test case generation for developers of all levels. The system boasts an advanced hybrid architecture, operating smoothly thanks to the combination of four core technologies: GitHub API: Acts as a direct link to the source code repository to manage user repositories. Browserbase (combining Stagehand & Playwright-core): Instead of reading raw source code, the agent directly accesses the running application (Live DOM) on the cloud platform via the CDP protocol to scrape data and visually interact with actual elements in the browser. Anthropic API (Claude 3.5 Sonnet): Receives real DOM data along with global instructions (such as login and authentication logic) to analyze and automatically generate accurate test scripts (Playwright scripts). Inngest: Takes on the role of coordinating all asynchronous background workflows (Background Jobs) and recurring tasks (Cron Jobs), ensuring system stability without worrying about timeouts in serverless infrastructures like Vercel/Netlify. All test status data, browser logs, and session recording video links are synchronized in real time to the Supabase database, providing a comprehensive QA solution, optimizing costs, and accelerating product release speeds for developers.