Toward an Agentic Infused Software Ecosystem

2026-02-24

AI Summary

To fully harness the potential of AI agents in software development, it is imperative to reconfigure the existing software ecosystem to enable effective human–agent collaboration. This work proposes the first systematic framework that co-evolves AI agents, agent-oriented programming languages and APIs, and a runtime environment supporting external interaction—collectively forming an “agent-integrated software ecosystem.” By unifying the design of agent capabilities, programming interfaces, and execution environments, the framework advances AI agents from merely assisting with coding toward autonomously accomplishing complex development tasks. This foundational shift paves the way for AI-native software development, where intelligent agents are intrinsic, capable participants throughout the software lifecycle.

Technology Category

• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Multiagent Systems: Agent/AI Theories and Architectures
• Humans and AI: Human-AI Collaboration / Human-AI Teaming

Application Category

• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Search and Retrieval-Augmented AI: Agentic search
• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications

Abstract

Fully leveraging the capabilities of AI agents in software development requires a rethinking of the software ecosystem itself. To this end, this paper outlines the creation of an Agentic Infused Software Ecosystem (AISE), that rests on three pillars. The first, of course, is the AI agents themselves, which in the past 5 years have moved from simple code completion and toward sophisticated independent development tasks, a trend which will only continue. The second pillar is the programming language and APIs (or tools) that these agents use to accomplish tasks, and increasingly, serve as the communication substrate that humans and AI agents interact and collaborate through. The final pillar is the runtime environment and ecosystem that agents operate within, and which provide the capabilities that programmatic agents use to interface with (and effect actions in) the external world. To realize the vision of AISE, all three pillars must be advanced in a holistic manner, and critically, in a manner that is synergistic for AI agents as they exist today, those that will exist in the future, and for the human developers that work alongside them.

Problem

• AI agents
• software ecosystem
• programming languages
• APIs
• runtime environment

Innovation

• Agentic Infused Software Ecosystem
• AI agents
• collaborative programming
• runtime environment
• human-AI collaboration