mlsanityData to 7 Oct 2026

Why Software Engineering Is Indispensable in the Age of Coding Agents

arXiv 2610.10226 ↗First posted 7 Oct 2026cs.SE cs.AIcited by 0

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

Abstract (arXiv)

Can AI make Software Engineering (SE) -- the discipline -- obsolete? And can it make software engineers -- the professionals -- redundant? This paper argues that the rise of capable AI coding agents makes SE and software engineers essential, not obsolete: the missing foundation without which AI-assisted development produces misleadingly plausible, unverifiable, and ultimately untrustworthy software. Three structural properties of large language models (probabilistic generation, agnosticism, and semantic statelessness) create a structural vacuum that no amount of training can eliminate. Filling it requires four knowledge levers: methodological knowledge, domain knowledge, design choices, and process choices. All four must be reified as persistent artifacts, and each requires the software engineer as methodologist, mediator, and custodian.

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 4 of its 10 references that are in the map. First posted on arXiv 7 Oct 2026.

Builds on

4 of 10 references.

References · 4

  1. 2025Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivitycited by 93
  2. 2025Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025cited by 17
  3. 2026Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistantscited by 14
  4. 2025AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burdencited by 6

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  1. 2026Human-AI Collaboration and the Transformation of Software Engineering Work
  2. 2026Rethinking Software Engineering for Agentic AI Systems
  3. 2025The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
  4. 2026Agents That Teach: Towards Designing Incidental Learning Back into AI-Assisted Software Development
  5. 2026From Determinism to Delegation: AI-Native Software Engineering and the Evolution of the Agentic Engineer
  6. 2025From Correctness to Collaboration: Toward a Human-Centered Framework for Evaluating AI Agent Behavior in Software Engineering
  7. 2026AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development
  8. 2026The Specification Paradox: Rethinking Requirements Engineering in the Age of AI ↗