[2604.16399] IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development

Computer Science > Software Engineering arXiv:2604.16399 (cs) [Submitted on 31 Mar 2026 (v1), last revised 30 Apr 2026 (this version, v2)] Title:IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development Authors:Jasmine Moreira View a PDF of the paper titled IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development, by Jasmine Moreira View PDF HTML (experimental) Abstract:The widespread adoption of AI-assisted development tools in 2025 -- and the emergence of vibe coding, a practice of generating complete applications from natural language without verification -- exposed a critical and tool-agnostic failure pattern: experienced developers who used frontier AI models were measurably slower in objective evaluations despite believing they were faster. Concurrently, 10.3% of AI-generated applications in a production showcase contained critical security flaws. This paper argues that these failures share a structural cause -- the verification gap: every large language model (LLM), regardless of interface or capability, operates as a stochastic generator with zero internal semantic verification capability. The tool is irrelevant; the process is determinative. We present IACDM (Interactive Adversarial Convergence Development Methodology), a structured 8-phase framework designed to address the verification gap through external verification a...