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Learn how engineering teams adapt their testing strategies and methodologies to maintain quality while developing at the accelerated pace enabled by AI-powered development tools. Explore practical approaches for integrating automated testing, continuous integration, and quality assurance processes that can keep up with rapid AI-assisted code generation and deployment cycles. Discover strategies for balancing speed with reliability, implementing effective test coverage in AI-enhanced workflows, and ensuring robust quality gates that prevent technical debt accumulation. Examine real-world case studies of teams successfully scaling their testing practices to match AI-powered development velocity while maintaining high standards for software quality and user experience.
Syllabus
How teams test at AI powered velocity
Taught by
LeadDev
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Berdasarkan diskusi panel dari video "How teams test at AI powered velocity" oleh LeadDev, tim menguji dengan kecepatan yang didukung AI melalui beberapa perubahan utama dalam pendekatan dan proses: * Pengujian Terintegrasi (Shift Left & Right):…