QA.tech 1.0 – A New Way of AI Testing for Developers (www.qa.tech)

QA.tech 1.0 is a new AI-driven testing platform aimed at making developers responsible for fast, reliable verification as they build. Rather than relying on static unit or scripted tests, QA.tech uses LLMs to read your docs, track changes, and explore your app in a real browser to create intent-driven, user-journey tests. It integrates with GitHub PRs to run exploratory tests on changes, captures step-by-step repro instructions, screen recordings, console and network logs, and keeps a history/knowledge graph that adapts as the product evolves. A chat agent lets you request reproductions (“reproduce the bug from yesterday”) or generate tests from checklists and documentation. For the AI/ML and dev community this matters because it shifts QA from manual, brittle processes to automated, context-aware verification that mirrors real user behavior—reducing regressions and PR friction while preserving developer velocity. Key technical details: cloud-hosted execution with unlimited parallelization, real-browser exploration, multi-session/multi-application end-to-end flows, structured logs/traces for debugging, and PR-native feedback. The platform promises faster feedback loops and easier debugging, making it easy to embed exploratory, intent-based testing into CI/CD pipelines—while raising practical considerations around test accuracy, knowledge-graph maintenance, and data/privacy governance for hosted test runs.