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A conceptual framework tracing how industrial AI can evolve from basic keyword retrieval through to organizational learning — using a single Reactor Unit 3 temperature deviation as a running example across all seven capability layers.

A walkthrough of building and configuring a Model Context Protocol (MCP) server for sample data processing. Covers API integration and GitHub Copilot integration as a learning exercise.

A comprehensive reflection on how 2025 became a turning point in AI-augmented software development. Includes personal productivity metrics, statistical insights, and data-driven analysis of AI adoption patterns, tool effectiveness, and lessons learned from daily AI-assisted development workflows.

Exploring how AI transforms software development from individual productivity to team leadership, examining the shift from traditional coding to AI-augmented workflows while maintaining quality, judgment, and human agency.

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