Jan 16
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MCP has enabled a wave of powerful agent demos — but production systems demand more than clever tool calls. In this talk, we explore what changes when MCP-based agents move from experimentation to real-world use inside enterprises. The key insight: LLMs are better at writing code than they are at repeatedly calling tools. Architectures that lean into this reality — generating executable code, sandboxing it, and treating tools as APIs — unlock dramatic gains in efficiency, determinism, and scalability. You’ll see: • Why traditional tool-calling breaks down as agents grow more complex • How code-generation reduces token usage and improves correctness • What “real agents” look like once they leave the demo stage • Why standards like MCP matter for long-term interoperability • And what enterprises must solve next: identity, authorization, and governance As agent systems begin to act on behalf of users, organizations, and workflows, enterprise identity becomes infrastructure — not an afterthought. This is the architectural shift teams need to understand before deploying agents into production environments.