The internet's next chapter moves beyond serving pages to executing complex, long-duration AI agent workflows. This paradigm shift, as articulated by Vercel's CEO, necessitates a new "AI Cloud" built to handle persistent, stateful processes that "think" for extended periods.

Michael Bolin, a tech lead on OpenAI's Codex, says models now generate 80-90% of his code. He reserves manual coding for critical, low-level tasks like security sandboxing. For most work, including debugging and refactoring, he relies on the AI agent to maximize his throughput.

The Head of Engineering for Atlas estimates that north of 75% of new code is initially written by the AI assistant Codex. This indicates a profound shift where the primary engineering workflow becomes prompting, guiding, and refining AI output, rather than manually writing code from scratch.

AI agents are becoming the dominant source of internet traffic, shifting the paradigm from human-centric UI to agent-friendly APIs. Developers optimizing for human users may be designing for a shrinking minority, as automated systems increasingly consume web services.

Vercel builds internal AI agents and tools, like an Open Graph image generator, to automate tasks that were previously bottlenecks. This not only increases efficiency but also serves as a critical dogfooding process, allowing them to innovate on their core platform by building the tools their own teams need.

Experienced engineers using tools like Claude Code are no longer writing significant amounts of code. Their primary role shifts to designing systems, defining tasks, and managing a team of AI agents that perform the actual implementation, fundamentally changing the software development workflow.

The rise of AI support agents is changing the purpose of internal documentation. Knowledge bases are now being written less for human readers and more for AI agents to consume. This leads to more structured, procedural content designed to be parsed by a machine to answer questions accurately.

The relationship between user and service provider is changing. Agents will soon sign up for platforms like Vercel, manage payments, and solve problems with zero human intervention. This transforms the service provider into a vendor for the agent itself, not just the human behind it.

Documentation is no longer just for humans. AI agents now read it directly as operational input, making its accuracy critical for system function. Outdated docs, once a nuisance, now cause system failures, elevating documentation to the level of essential infrastructure.