Manuel Odendahl

This talk argues that the current focus on Multi-Call Protocol (MCP) and tool calling for LLMs is limiting their potential. The speaker contends that LLMs are powerful code generators and language producers, capable of much more than simply calling predefined functions with fixed schemas. The core thesis is that by treating LLMs as sophisticated code-generation engines and embracing recursive creation, developers can unlock greater flexibility and power, moving beyond the "boring" limitations of current tool-calling paradigms.

This talk explores how programmers can leverage Large Language Models (LLMs) to significantly boost their productivity, aiming for a "10x" improvement. The core thesis is that LLMs should be treated not as autonomous reasoning agents, but as powerful translation engines and world simulators. By understanding how to decompose problems into language translation steps and by creatively framing prompts, developers can unlock new levels of efficiency and innovation.