mlsanityData to 7 Oct 2026

Toward an Agentic Infused Software Ecosystem

arXiv 2602.20979 ↗First posted 24 Feb 2026cs.SE cs.AI cs.PLcited by 0

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 8 of its 46 references that are in the map. First posted on arXiv 24 Feb 2026.

Builds on

8 of 46 references.

References · 8

  1. 2021PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Modelscited by 402
  2. 2025ReTool: Reinforcement Learning for Strategic Tool Use in LLMscited by 377
  3. 2025Reinforcement Learning for Long-Horizon Interactive LLM Agentscited by 103
  4. 2024Towards AI-Assisted Synthesis of Verified Dafny Methodscited by 58
  5. 2024DafnyBench: A Benchmark for Formal Software Verificationcited by 54
  6. 2019How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Datasetcited by 35
  7. 2025VERINA: Benchmarking Verifiable Code Generationcited by 30
  8. 2025Agentic Verification of Software Systemscited by 5

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  3. 2025Agentic Software Engineering: Foundational Pillars and a Research Roadmap
  4. 2026Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineering
  5. 2025Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
  6. 2026Agentic Software: How AI Agents Are Restructuring the Software Paradigm
  7. 2025Toward Agentic Software Engineering Beyond Code: Framing Vision, Values, and Vocabulary
  8. 2025Agentsway -- Software Development Methodology for AI Agents-based Teams