Agentic AI in Testing: Transitioning from scripts to autonomous AI agents that can reason, learn, and make real-time decisions to optimize test coverage. Hyperautomation: Orchestrating various technologies (RPA, AI, and low-code) to work as a single, intelligent system across the software delivery pipeline. Shift-Left & Shift-Right Quality: Embedding quality into early architecture reviews (Shift-Left) and extending it into production through chaos testing and synthetic monitoring (Shift-Right). Cloud-Native & SaaS Quality: Addressing unique challenges in microservices, distributed systems, and API virtualization with smarter "test doubles". Sustainable Quality Engineering: Balancing AI-driven innovation with ESG (Environmental, Social, and Governance) goals to reduce computational waste and energy consumption.
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