Quell's UAT AI Agent Platform
UAT agents catch bugs & ensure builds meet requirements
What it does
Create Quell UAT AI agents to automate acceptance testing, detect critical bugs, and ensure your Vercel or Netflify software builds meet acceptance criteria from Linear issues, Jira tickets or Figma designs. When issues are found, they flag & generate tickets.
Does the same job
all alternatives →- QAQuell – AI QA Agent Working Across Linear, Vercel, Jira, Netlify, Figma2025 · quellit.ai · ▲7
Hey HN! I've been building Quell, an AI QA testing agent designed to run tests directly triggered from issue trackers (Jira, Linear) or designs (Figma) or CI/CD platforms (Vercel, Netlify, GitHub), ensuring rapid and accurate acceptance testing without manual effort. What problem does it solve? As a product manager and founder myself, I constantly faced issues releasing a new feature only to discover critical bugs or that the build doesn't fully meet acceptance criteria. Bottlenecks in our QA and release process—tickets and issues stuck in manual testing, slow deployments due to delayed…
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