The text explores the challenges of configuration and integration in computer science, emphasizing how agentic systems powered by AI can simplify these processes. By defining goals in human language and utilizing tools, these systems can autonomously solve problems and perform tasks. The introduction of the Model Context Protocol (MCP) further enhances this framework by allowing tools to be pluggable and dynamically composable, facilitating seamless integration. Temporal's Durable Execution framework adds reliability and fault-tolerance, ensuring that agentic systems can operate at enterprise scale with robustness and resilience. This combination of technologies is poised to revolutionize application development by enabling systems that are both easy to configure and highly dependable, paving the way for a new generation of applications that can be quickly built and customized by end users.