Skills for the Code AGI Era: Agent Manager and Enterprise Operator
Recent model releases commodified software creation. The value shifts away from execution toward selection and design.
Two complementary roles emerge for the Code AGI era.
The Shift
Models like Gemini 3, GPT-5.2, and Opus 4.5 changed the game:
- Tooling like Cloud Code and vibe-coding platforms proliferate
- Execution becomes commoditized
- Selection and design become valuable
What you choose to build matters more than how you build it.
Role 1: Agent Manager
This role orchestrates and scales AI agents:
- Coordinates multiple agents working on complex tasks
- Designs agent workflows
- Evaluates and improves agent outputs
The Agent Manager is like a conductor for an orchestra of AI workers.
Role 2: Enterprise Operator
This role recognizes valuable problems and redesigns workflows:
- Identifies opportunities for automation
- Redesigns processes around AI capabilities
- Bridges technical and business needs
The Enterprise Operator makes AI useful in complex organizations.
New Working Habits
Success requires different habits:
Think bigger. Focus on outcomes, not just outputs.
Embrace asynchronous orchestration. Agents work continuously, not just when you're at your desk.
Design end-to-end. Create complete agent tasks, not just individual prompts.
What This Means
The career implications are significant:
- Traditional coding skills matter less
- Orchestration and design skills matter more
- The ability to identify valuable problems becomes essential
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