arXiv:2604.04226v2 Announce Type: replace-cross Abstract: The Agentic Web is emerging as a paradigm in which autonomous software agents interact with online resources and with each other to accomplish user goals. However, the capacity of Agentic Web is still limited by insufficient autonomous software agent population, which has become a crucial challenge for scaling Agentic Web. In order to alleviate this, we study the task of automatically converting existing code repositories into autonomous software agents via coding agents, decompose the process into critical stages, and identify key tech
The proliferation of foundational AI models and increasing interest in autonomous systems are driving the need for better benchmarking of agentic capabilities.
A robust 'Agentic Web' enabled by autonomous software agents can significantly enhance productivity across various digital workflows, transforming how users interact with online resources and each other.
This research provides a framework for evaluating the automatic generation of software agents, which could accelerate the development and deployment of truly autonomous online systems.
- · AI software developers
- · SaaS platforms
- · Enterprise IT
- · Cloud computing providers
- · Manual workflow operators
- · Traditional software development cycles
Increased efficiency in converting code repositories into autonomous agents will populate the Agentic Web faster.
The widespread adoption of agentic systems will necessitate new cybersecurity paradigms and regulatory frameworks.
Enhanced automation by AI agents will further pressure white-collar employment across numerous sectors, shifting human roles towards oversight and strategic decision-making.
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Read at arXiv cs.AI