Single Conversation Methodology: A Human-Centered Protocol for AI-Assisted Software Development

TL;DR

The paper introduces the Single Conversation Methodology (SCM), a structured, human-centered approach to AI-assisted software development that maintains a continuous dialogue with large language models throughout the project lifecycle.

Contribution

It presents a novel, comprehensive protocol for persistent, structured interactions with LLMs in software development, emphasizing developer control and project traceability.

Findings

SCM improves clarity and traceability in AI-assisted development.

It fosters active developer engagement over passive AI reliance.

The methodology is adaptable to various project phases.

Abstract

We propose the Single Conversation Methodology (SCM), a novel and pragmatic approach to software development using large language models (LLMs). In contrast to ad hoc interactions with generative AI, SCM emphasizes a structured and persistent development dialogue, where all stages of a project - from requirements to architecture and implementation - unfold within a single, long-context conversation. The methodology is grounded on principles of cognitive clarity, traceability, modularity, and documentation. We define its phases, best practices, and philosophical stance, while arguing that SCM offers a necessary correction to the passive reliance on LLMs prevalent in current practices. We aim to reassert the active role of the developer as architect and supervisor of the intelligent tool.