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.
SETU: An Agentic Ecosystem for Multilingual, Persona-Aware Communication Coaching
Quanta People Solutions Pvt. Ltd.（Quant People Solutions私人有限公司）；Panorama AI Solutions（全景人工智能解决方案公司）；University College of Engineering, Osmania University（奥萨马尼亚大学工程学院）
Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence
College of Computing and Data Science, Nanyang Technological University, NTU, Singapore（南洋理工大学计算机与数据科学学院）；DeepMed Ptd Ltd, India（印度DeepMed公司）
From Single Chatbots to Governed Agent Ecosystems: An Agentic AI Pattern Catalogue and Orchestration Framework for Mission-Critical Hospital Information Management Systems
Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale
DP Technology Beijing China（北京DP技术有限公司）；AI for Science Institute Beijing China（北京AI for Science研究院）；Shanghai Jiao Tong University Shanghai China（上海交通大学）；Beihang University Beijing China（北京航空航天大学）；Peking University Beijing China（北京大学）；Institute of Theoretical Physics Chinese Academy of Sciences Beijing China（中国科学院理论物理研究所）；Shanghai Innovation Institute Shanghai China（上海创新研究院）；East China Normal University Shanghai China（华东师范大学）；Zhongguancun Academy Beijing China（中关村学院）；University of Science and Technology of China Hefei China（中国科学技术大学）；Tongji University Shanghai China（同济大学）；The Hong Kong University of Science and Technology Hong Kong China（香港科技大学）
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems
University of Cambridge（剑桥大学）；University of Washington（华盛顿大学）；Harvard Law School（哈佛法学院）；Stanford University（斯坦福大学）；Concordia AI（康科迪亚AI）；University of Pennsylvania（宾夕法尼亚大学）；Massachusetts Institute of Technology（麻省理工学院）；Hebrew University of Jerusalem（耶路撒冷希伯来大学）
Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI Models
Compassion Aligned Machine Learning（同情对齐机器学习）；Sentient Futures（感知未来）；Harvard Kennedy School（哈佛肯尼迪学院）；Appalachian State University Department of Management（阿巴拉契亚州立大学管理系）
Autonomous computational catalysis through an agentic research system
Beijing Key Laboratory of Artificial Intelligence for Advanced Chemical Engineering Materials, State Key Laboratory of Chemical Engineering and Low- Carbon Technology, Department of Chemical Engineering, Tsinghua University（北京先进化工材料人工智能重点实验室、化学工程与低碳技术国家重点实验室、清华大学化学工程系）
DUCTILE: Agentic LLM Orchestration of Engineering Analysis in Product Development Practice
Product Development Division, Department of Mechanical Engineering, Chalmers University of Technology, Gothenburg, Sweden（产品开发部门，机械工程系，楚姆勒斯技术大学，哥德堡，瑞典）；GKN Aerospace Engine Systems, Trollhättan, Sweden（GKN航空发动机系统，特罗尔哈塔纳，瑞典）
Accelerated Genetic Programming Hyper-Heuristics for Simulation-Based Scheduling via Agentic AI
Research Engineering Team REANNZ New Zealand；Centre for Data Science；Artificial Intelligence \& School of Engineering；Computer Science Victoria University of Wellington New Zealand
Responsible Agentic AI Requires Explicit Provenance
School of Computer Science and Informatics, University of Liverpool（利兹大学计算机科学与信息学学院）；Department of Computer Science, Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学计算机科学系）
Context-Aware Agentic Power Resources Optimisation in EV using Smart2ChargeApp
Faculty of Computing, Engineering and the Built Environment（计算、工程与建成环境学院）；Birmingham City University（伯明翰城市大学）；Department of Information Systems, College of Computing and Informatics（信息系统系，计算与信息学院）；The University of Sharjah（沙迦大学）
Agentic Federated Learning: The Future of Distributed Training Orchestration
Institute of Computing, University of Campinas（坎皮纳斯州立大学计算研究所）；Hub of Artificial Intelligence and Cognitive Architectures - H.IAAC（人工智能与认知架构中心 - H.IAAC）
