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From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents

A study on operational frameworks for AI software development agents, proposing a six-dimension process taxonomy.

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From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents

By Sanderson Oliveira de MacedoarXiv
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The paper presents a directed search of primary sources and selects six frameworks supporting AI software development agents. It proposes a six-dimension process taxonomy: specification, context, roles, execution, validation, and portability.

The study applies the taxonomy to six frameworks and an out-of-sample case, highlighting convergence in process adoption and trade-offs between depth and portability.

Abstract

The paper presents a directed search of primary sources and selects six frameworks supporting AI software development agents. It proposes a six-dimension process taxonomy: specification, context, roles, execution, validation, and portability. The study applies the taxonomy to six frameworks and an out-of-sample case, highlighting convergence in process adoption and trade-offs between depth and portability.

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ai software development agentsprocess taxonomyframework comparisonagent-driven agile planningspecification and context engineeringAI AgentsContent EngineeringLarge Language ModelsOntology & Taxonomy
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