What You'll Learn:
▶ The "Vibe Coding" Illusion: Why using AI to build end-to-end web applications works perfectly for a month, but ultimately collapses into uncompilable loops under its own complexity.
▶ Object-Oriented vs. Functional AI: Understanding why Large Language Models (LLMs) struggle with piecing together complex object-oriented puzzles, and how real engineers use AI for targeted, functional modules instead.
▶ AI in Critical Infrastructure: Why blindly deploying AI-generated code into healthcare, financial, or critical systems is professional negligence, and why every single line of code still needs human justification.
▶ The Model Context Protocol (MCP) Fad: Why the highly hyped MCP might just be a passing trend destined to fail outside of decentralized utopias, and why traditional REST APIs are here to stay.
▶ AI is More Than ChatGPT: A look back at the last 20 years of AI research and why traditional machine learning and automated planning still hold massive, untapped potential outside of the LLM spotlight.

This episode is a must-listen for enterprise executives, project managers, and security practitioners looking to separate AI marketing fluff from the actual realities of modern software engineering.

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Disclaimer: The views expressed are those of the speakers.