Agentic Quality Engineering

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Acts as the foundational skill for a fleet of 19 specialized Quality Engineering (QE) agents, enabling them to work together to automate and scale software testing. It provides the core PACT principles (Proactive, Autonomous, Collaborative, Targeted) for agent behavior and coordination. This skill is essential for building intelligent CI/CD pipelines, implementing multi-agent testing strategies, and creating autonomous quality assurance systems that handle everything from test generation and coverage analysis to security scanning and performance testing, ultimately amplifying human expertise.

Características Principales

• Enables intelligent, risk-based test generation and root cause analysis
• Defines memory namespaces and protocols for cross-agent learning and state management
• Provides coordination patterns (Hierarchical, Mesh, Sequential) for a 19-agent fleet
• 92 GitHub stars
• Guides agent behavior using PACT principles (Proactive, Autonomous, Collaborative, Targeted)
• Establishes a human-in-the-loop framework for critical decision oversight

Casos de Uso

• Building an autonomous quality assurance system with multiple specialized AI agents.
• Integrating intelligent, adaptive testing into a CI/CD pipeline.
• Scaling quality engineering efforts to achieve higher deployment frequency without sacrificing quality.