A Paradigm for Autonomous Software Engineering
Agent-Driven Development (ADD) is a novel software engineering paradigm where autonomous, intelligent agents collaboratively perform the full software development lifecycle (SDLC). Unlike traditional paradigms where humans orchestrate tools, or AI-assisted development where models provide assistance, ADD places intelligent agents as the primary drivers of development. Each agent specializes in a specific role—such as task planning, code generation, or orchestration—and communicates through structured artifacts. This document formally defines the ADD paradigm, its motivations, architecture, agent design principles, orchestration model, benefits, limitations, and the future outlook.
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The File covering ADD and predictably testing
The File covering ADD and predictably testing
Modern software development is evolving with the rise of AI. Traditional paradigms such as Object-Oriented Programming (OOP), Test-Driven Development (TDD), and DevOps have focused on improving human efficiency and automation. Recently, AI-assisted tools (e.g., Copilot) introduced new possibilities, yet they still position humans as primary drivers.
Agent-Driven Development (ADD) redefines this model by making intelligent agents the autonomous executors of development workflows. Inspired by multi-agent systems and cognitive orchestration, ADD proposes a structured, agent-centric architecture for software generation.
Agent-Driven Development (ADD) is a software engineering paradigm in which the planning, generation, and assembly of software systems are performed by a network of intelligent agents, each responsible for a distinct role, communicating via structured artifacts, and orchestrated by a supervisory control agent.
ADD systems:
Agents in ADD are: