Tools, frameworks, and learning materials for quality engineering in the agentic age.
Enterprise-grade agentic testing framework with 31 specialized AI agents. Features multi-model routing (70-81% cost savings), 4 RL algorithms, 41 QE skills, and 85 MCP tools.
Python implementation of the AQE framework using LionAGI orchestration. 18 specialized agents with async-first architecture, alcall integration, and 82% test coverage.
Open-source agentic testing framework with PACT-based architecture. Specialized agents for functional testing, security injection, and performance planning with explainability first.
The Agentic QE Framework is a comprehensive approach to quality engineering in the age of AI agents. Built on PACT principles (Proactive, Autonomous, Collaborative, Targeted), it bridges classical QE practices with agentic intelligence.
Anticipate risks before they become problems
Self-executing flows with explainability
Agents work with humans and other agents
Risk-focused, not brute force testing
YouTube channel with recordings from local meetups, talks, and community discussions on agentic quality engineering.
Visit YouTube ChannelAll upcoming Agentic Foundation meetups worldwide, from Novi Sad to San Francisco.
View All MeetupsGlobal organization building the future of agentic engineering across industries.
Visit Agentics.orgProfessional quality engineering consulting services for teams adopting agentic practices.
Visit Quantum QEFoundation article explaining the shift from testing-as-activity to agents-as-orchestrators.
Read ArticleHow I learned that AI doesn't replace quality thinking - it demands more of it. Includes video presentation from University of Aveiro.
Read ArticleA pragmatic guide to understanding if autonomous quality engineering fits your context.
Read ArticleReal stories of what went wrong and what I learned. No sugar-coating, just lessons.
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