From Prompting to Assigning: The paradigm of programming agents is undergoing a fundamental shift. The traditional Prompt is a "driving" mode: you issue commands, observe responses, determine right from wrong, and then push the next step. You must participate in every turn's turn throughout the entire process. And OpenAI's Codex CLI's'/drum 'is an' allocation 'mode: you no longer request the next response, but define a' completion state '. As long as the goal is not achieved (or the budget limit is not reached), the agent will continue to run autonomously. The core of this transformation lies in upgrading instructions from "single command" to "native primitives in interactive sessions". You just need to define the criteria for Done - such as passing the test, building successfully, accurate documentation, clean Git status - and then you can leave. This mechanism allows different tools to share the same instruction format, enabling the collaborative work of Builder, Reviewer, and Orchestrator. From "real-time shift" to "goal driven", the essence of an agent is transforming from a dialog box to an execution unit with autonomous execution capabilities.