The creator of Claude Code's workflow is no longer about deep work on a single task. Instead, he kicks off multiple AI agents ("clods") in parallel and "tends" to them by reviewing plans and answering questions. This "multi-clotting" approach makes him more of a manager than a doer.

The new Codex app is designed as an "agent command center" for managing multiple AI agents working in parallel. This interface-driven approach suggests OpenAI believes the developer's role is evolving from a hands-on coder into a high-level orchestrator, fundamentally changing the software development paradigm.

Unlike standard AI chats which are isolated, Cowork's "Projects" feature allows you to chain multiple tasks together. All tasks within a project share the same context and memory, allowing the AI to build on previous work and understand the larger goal.

New IDEs like Gastown, with roles like 'overseer' and 'mayor' managing AI agent 'convoys,' reveal the developer's future. The job is becoming less about writing code line-by-line and more about high-level orchestration, prompting, and reviewing the output of specialized AI agents to complete complex tasks.

Moving beyond chatbots, tools like Claude Cowork empower non-coders to create complex, multi-step autonomous workflows using natural language. This 'agentic' capability—connecting documents, searches, and data—is a key trend that will democratize automation and software creation for all knowledge workers.

The workflow of a "100x engineer" involves managing multiple AI coding agents simultaneously, with each agent working independently on tasks. The engineer's role shifts from writing code to orchestrating these agents, rotating attention between them like a conductor directing an orchestra.

Claude Cowork is positioned not as a coding tool like its predecessor Claude Code (the "CTO"), but as an operational assistant ("COO") for business professionals. It helps automate and execute complex business tasks, like creating marketing strategies or job descriptions, without requiring deep technical skills.

Tools like Claude CoWork preview a future where teams of AI agents collaborate on multi-faceted projects, like a product launch, simultaneously. This automates tactical entry-level tasks, elevating human workers to roles focused on high-level strategy, review, and orchestrating these AI "employees."

Running multiple AI agents in parallel quickly leads to "AI sprawl"—losing track of what each agent is doing, what they've accomplished, and how much they're costing. Orchestration tools solve this by centralizing tasks, tracking spend, and providing a unified management dashboard.