mlsanityData to 14 Oct 2026

From Craft to Constitution: A Governance-First Paradigm for Principled Agent Engineering

arXiv 2510.13857 ↗First posted 12 Oct 2025cs.SE cs.AIcited by 1

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

Abstract (arXiv)

The advent of powerful Large Language Models (LLMs) has ushered in an ``Age of the Agent,'' enabling autonomous systems to tackle complex goals. However, the transition from prototype to production is hindered by a pervasive ``crisis of craft,'' resulting in agents that are brittle, unpredictable, and ultimately untrustworthy in mission-critical applications. This paper argues this crisis stems from a fundamental paradigm mismatch -- attempting to command inherently probabilistic processors with the deterministic mental models of traditional software engineering. To solve this crisis, we introduce a governance-first paradigm for principled agent engineering, embodied in a formal architecture we call ArbiterOS.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 30 of its 52 references that are in the map. First posted on arXiv 12 Oct 2025.

Builds on

30 of 52 references.

References · 30

  1. 2017Attention Is All You Needcited by 60,361
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  3. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
  4. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
  5. 2023A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questionscited by 1,601
  6. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,439
  7. 2021Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivitycited by 1,135
  8. 2022Red Teaming Language Models with Language Modelscited by 1,026
  9. 2023DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelinescited by 832
  10. 2023Can Large Language Models Be an Alternative to Human Evaluations?cited by 734
  11. 2024A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applicationscited by 431
  12. 2023Cognitive Architectures for Language Agentscited by 429
18 more
  1. 2024TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Taskscited by 326
  2. 2025From System 1 to System 2: A Survey of Reasoning Large Language Modelscited by 320
  3. 2018Analysis Methods in Neural Language Processing: A Surveycited by 277
  4. 2023How is ChatGPT's behavior changing over time?cited by 270
  5. 2020Neurosymbolic AI: The 3rd Wavecited by 255
  6. 2024The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Surveycited by 168
  7. 2024AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathwayscited by 127
  8. 2025A Survey of Context Engineering for Large Language Modelscited by 126
  9. 2024AIOS: LLM Agent Operating Systemcited by 97
  10. 2021Software Engineering for AI-Based Systems: A Surveycited by 69
  11. 2024Defense Against Prompt Injection Attack by Leveraging Attack Techniquescited by 40
  12. 2023LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystemcited by 38
  13. 2025Towards Trustworthy GUI Agents: A Surveycited by 34
  14. 2024Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AIcited by 24
  15. 2024The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmapcited by 20
  16. 2025A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategycited by 20
  17. 2024Agents Are Not Enoughcited by 5
  18. 2024KAOS: Large Model Multi-Agent Operating Systemcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

Close in wording, no citation either way

  1. 2026Agentic Software: How AI Agents Are Restructuring the Software Paradigm
  2. 2026Rethinking Software Engineering for Agentic AI Systems
  3. 2025Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?
  4. 2025Reliable agent engineering should integrate machine-compatible organizational principles
  5. 2026From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers
  6. 2026Architecting Agentic Communities using Design Patterns
  7. 2026Model-Based Agentic Software Engineering
  8. 2026Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security