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What autonomous QA agents should actually do
A practical definition of autonomous QA agents: explore browser flows, capture evidence, normalize findings, and keep humans in control.
docsGetting started with AISwarmQA
Create a workspace, run a first audit, review findings, and export one confirmed GitHub Issue.
docsGitHub export
How AISwarmQA converts a selected finding into a structured GitHub Issue.
glossaryAI QA agent
An AI QA agent is a bounded software agent that explores an application, observes quality signals, and reports actionable findings.
integrationsGitHub Issues integration
Connect AISwarmQA to GitHub Issues so approved findings become ready-to-fix engineering work.
compareAISwarmQA versus manual QA
Compare autonomous QA discovery with manual QA triage and see where each approach fits.
use-casesQA for SaaS startups
Run practical QA checks before users encounter broken onboarding, pricing, checkout, or dashboard flows.
changelogNew brand, landing page, and content hub
AISwarmQA launches its public brand, a live interactive demo, and a full docs/blog/glossary content hub.