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Agentic Engineering: Why Trust Became the New Bottleneck

AI can generate a million lines of code in an afternoon. But can you trust any of it?

In this episode of Digital Pulse, Rafa and his AI co-hosts dig into one of the most important shifts happening in enterprise software right now. For forty years, the bottleneck was execution. That constraint has dissolved. The new scarce resource is trust, and the organisations that crack it first will define the next decade of enterprise technology.

We unpack agentic engineering, the structured discipline that separates serious AI delivery from what the industry has started calling "AI slop." You will hear why a three-layer architecture matters, how Model Context Protocol physically keeps AI out of the parts of your system where it has no business operating, and why the incoming EU AI Act makes governance a commercial advantage rather than a compliance burden.

This is not a conversation about AI hype. It is a practical framework for enterprise tech leaders, software buyers, and anyone who needs to answer the question: when a regulator points at your system and asks who made this decision, do you have an answer?

What we cover in this episode:

• The difference between vibe coding and spec-driven delivery
• Why generation is now a commodity and verification is the scarce resource
• The three-layer architecture of a serious agentic practice
• How MCP creates an automatic audit trail as a byproduct of the workflow
• What the EU AI Act means for your AI spending from August 2026
• The make-versus-buy line, and why it is moving

Links:

ELCA website

ELCA on LinkedIn

Digital Pulse newsletter on LinkedIn

Rafa Jimenez on LinkedIn

ELCA on YouTube