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AI is rapidly changing how software is built, but the fundamentals of good engineering haven't changed. As organizations integrate AI into production systems, engineering teams face new challenges around scalability, reliability, security, observability, and operational excellence. In this session, I'll share practical lessons from building AI-powered products and modern software platforms, exploring architectural patterns, common mistakes, and the engineering decisions required to deploy AI systems successfully in production. Rather than focusing on AI trends, the session emphasizes real implementation strategies that engineering teams can apply immediately.

Related topics

Artificial Intelligence
Artificial Intelligence Applications
Cloud Infrastructure
DevOps
DevOps Automation

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