06/10/2026
The End of Software Engineering: How AI Agents Are Fundamentally Restructuring the Software Paradigm" argues that AI agents represent a fundamental shift in software creation, not merely a productivity improvement. The paper proposes that traditional software engineering centers on humans encoding decision logic into code, whereas agentic systems use LLMs as the reasoning engine and generate code dynamically as a temporary tool. It introduces Agentic Engineering as a new discipline focused on orchestrating, supervising, and evolving AI agents rather than manually writing software. The author envisions a transition from Software-as-a-Service (SaaS) to Agent-as-a-Service (AaaS), where autonomous agents increasingly handle problem-solving, ex*****on, and adaptation.
Key Takeaways
AI agents shift value from writing code to directing reasoning systems.
Code becomes increasingly disposable and generated on demand.
Engineers evolve into orchestrators, validators, and system designers.
Multi-agent collaboration may become the dominant software paradigm.
The paper outlines a roadmap toward self-improving agent ecosystems.
Links
ArXiv Abstract Page
https://arxiv.org/abs/2606.05608?utm_source=chatgpt.com
Full PDF Paper
https://arxiv.org/pdf/2606.05608
For Salesforce, Agentforce, Claude Code, and MCP practitioners, the paper's central message is that future competitive advantage may come less from writing code and more from designing, governing, and coordinating fleets of AI agents.
For over half a century, software engineering has operated on a foundational premise: human engineers decompose problems, encode decision logic into static code, and manually adapt that code as requirements evolve. This paper argues that the emergence of AI agents -- systems where large language mod...