Vercel unveils agent-first framework to redefine software development
Reported by Latent Space: Vercel's Andrew Qu on why agents are a new kind of software. Analysis and context written by TickrWire.
Vercel’s Chief of Software, Andrew Qu, introduces eve, a new agent framework designed to transform how software is built and deployed.
- Vercel’s new agent framework, eve, enables AI agents to interact with websites and tools autonomously.
- The framework introduces sandboxes and agent-readable websites to support agent-driven workflows.
- Andrew Qu positions eve as a shift from traditional software development to agent-first paradigms.
- This development aligns with the growing industry focus on AI agents as a new kind of software.
Vercel’s Chief of Software, Andrew Qu, has outlined the company’s new agent framework called eve, positioning it as a fundamental shift in how software is created and deployed. The framework is designed to enable AI agents to autonomously interact with websites and tools, emphasizing the importance of skills, sandboxes, and agent-readable interfaces. Qu argues that traditional software development is evolving to accommodate these agent-driven workflows, which require new paradigms for integration and execution.
The eve framework is built to support the growing demand for AI agents that can perform tasks across digital environments without manual intervention. By introducing sandboxes and agent-readable websites, Vercel aims to create a more dynamic and interactive software ecosystem. This development reflects a broader industry trend toward agentic computing, where software systems are designed to be directly manipulated by AI agents rather than just by human developers.
Provides a new framework for building agent-driven applications, expanding tooling options.
Offers a competitive edge by enabling automation and agentic workflows in digital environments.
Signals a major evolution in how software is designed and interacted with.
- agent framework
- A software framework designed to enable AI agents to perform tasks autonomously across digital environments.
- sandboxes
- Isolated environments where AI agents can safely execute tasks without affecting production systems.
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