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Toward an Agentic Infused Software Ecosystem
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Toward an Agentic Infused Software Ecosystem

#Agentic Infused Software Ecosystem #AI agents #Software engineering #Programming languages #Human-AI collaboration #arXiv research #Code completion #Runtime environment

📌 Key Takeaways

  • Mark Marron proposed a new software ecosystem framework called AISE
  • The framework is built on three pillars: AI agents, programming languages/APIs, and runtime environments
  • AI agents have evolved from simple code completion to sophisticated independent development tools
  • Successful implementation requires holistic advancement of all three pillars
  • The approach aims to create synergies between humans and AI agents in software development

📖 Full Retelling

Researcher Mark Marron introduced a groundbreaking framework for an Agentic Infused Software Ecosystem (AISE) in a paper submitted to the online repository arXiv on February 24, 2026, aiming to revolutionize how AI agents are integrated into software development processes. The paper outlines a comprehensive approach built on three fundamental pillars. The first pillar consists of AI agents themselves, which have evolved significantly over the past five years from simple code completion tools to sophisticated systems capable of handling independent development tasks—a trajectory the author expects to continue accelerating. The second pillar focuses on programming languages and APIs that these agents utilize to accomplish tasks, increasingly serving as communication substrates between human developers and AI agents. The final pillar encompasses the runtime environment and broader ecosystem in which these agents operate, providing the necessary interfaces for agents to interact with and effect actions in the external world. Marron emphasizes that successfully implementing the AISE vision requires advancing all three pillars in a holistic manner, with particular attention to creating synergies between current and future AI agents and human developers, representing a significant step toward more collaborative and efficient human-AI development workflows.

🏷️ Themes

AI integration, Software development, Human-computer interaction

📚 Related People & Topics

AI agent

Systems that perform tasks without human intervention

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Software engineering

Engineering approach to software development

Software engineering is a branch of both computer science and engineering focused on designing, developing, testing, and maintaining software applications. It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs. In the tech ind...

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Code completion

Code completion

Autocompletion feature in IDEs

Code completion is an autocompletion feature in many integrated development environments (IDEs) that speeds up the process of coding applications by fixing common mistakes and suggesting lines of code. This usually happens through popups while typing, querying parameters of functions, and query hint...

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Programming language

Programming language

Language for controlling a computer

A programming language is an engineered language for expressing computer programs. Programming languages typically allow software to be written in a human readable manner. Execution of a program requires an implementation.

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Entity Intersection Graph

Connections for AI agent:

🏢 OpenAI 6 shared
🌐 Large language model 4 shared
🌐 Reinforcement learning 3 shared
🌐 OpenClaw 3 shared
🌐 Artificial intelligence 2 shared
View full profile

Mentioned Entities

AI agent

Systems that perform tasks without human intervention

Software engineering

Engineering approach to software development

 Code completion

Code completion

Autocompletion feature in IDEs

 Programming language

Programming language

Language for controlling a computer
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Original Source
--> Computer Science > Software Engineering arXiv:2602.20979 [Submitted on 24 Feb 2026] Title: Toward an Agentic Infused Software Ecosystem Authors: Mark Marron View a PDF of the paper titled Toward an Agentic Infused Software Ecosystem, by Mark Marron View PDF HTML 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 , 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. Subjects: Software Engineering (cs.SE) ; Artificial Intelligence (cs.AI); Programming Languages (cs.PL) Cite as: arXiv:2602.20979 [cs.SE] (or arXiv:2602.20979v1 [cs.SE] for this version) https://doi.org/10.48550/arXiv.2602.20979 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Mark Marron [ view email ] [v1] Tue, 24 Feb 2026 15:01:29 UTC (30 KB) Full-text links: Access Paper: View a PDF of the paper titled Toward an Agentic Infused Software Ecosystem, by Mark Marron View PDF HTML TeX Source view license Current browse ...
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