Agentic Quality Engineering

Autonomous QE agents coordinate across testing, security, performance, and deployment workflows to parallelize quality work. They spawn dynamically, execute proactively, share findings, and prioritize by risk—eliminating manual handoffs and accelerating cycle time.

PACT (Proactive, Autonomous, Collaborative, Targeted) guides agents to analyze issues before they escalate, act independently within scope, share feedback across the fleet, and focus effort on high-risk areas. Quality gates then validate results before deployment and capture learnings.

Yes. The Skill supports dynamic spawning and coordination across hierarchical, mesh, and sequential topologies. Choose the structure that matches your workflow—hierarchical for staged gates, mesh for parallel analysis, sequential for ordered validation steps.

Quality gates validate agent findings against risk criteria before release. Gates learn from outcomes—flagging patterns that correlate with post-deployment issues—so each cycle tightens the validation scope and reduces rework.

Agents require test signals, deployment context, and risk profiles for the services under test. Fleet coordination memory persists learnings across runs, enabling agents to refine prioritization and detection rules without manual retraining.