An MCP server has been developed to enhance language models' understanding of time, enabling them to calculate time differences and contextualize timestamps. This project represents a fusion of philosophical inquiry into AI's perception of time and practical tool development, allowing for more nuanced human-LLM interactions.

Frontier LLMs like Gemini 2.5 PRO significantly enhance programming capabilities by aiding in bug elimination, rapid prototyping, and collaborative design. However, to maximize their benefits, programmers must maintain control, provide extensive context, and engage in an interactive process rather than relying on LLMs to code independently. As AI evolves, the relationship between human developers and LLMs will continue to be crucial for producing high-quality code.