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We are still relatively in the early days of AI agents taking a leading role in software engineering, and because the field moves quickly, there is an emphasis on speed at all costs. But as we’ve seen with Amazon’s recent challenges in their AWS division, teams eventually have to operationalize and maintain these software systems produced by AI agents. And for that, we still need an engineering discipline that ensures consistency, high quality, and correctness — even when the producer of that software is an AI agent. Organizations need architectures and processes that start to move beyond cowboy, vibe-coding culture to organizationally aligned agentic engineering practices. And for that, MCP is the right tool for orgs and enterprises.

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