Rethinking AI Integration in Software Teams: A Framework for Treating AI as a Scriptable Intern

As AI tools grow more capable and integrated into software development workflows, their role is evolving.This paper presents a design-driven thought experiment: What if AI were treated not merely as a tool, but as a high-context scriptable intern.An intern who is highly capable and efficient but still requiring supervision?We explore a hypothetical sprint in which an AI agent is assigned tasks, delivers pull requests, participates in retrospectives, and receives feedback just like any other teammate.This model proposes a new mental framework for AI integration in software teams, outlines its potential benefits and constraints, and anticipates the cultural and operational shifts needed to support such a change.This scenario also surfaces critical questions about trust, accountability, and the redefinition of work in AI-augmented engineering.

Authors

Publication Details

Journal
Journal of Artificial Intelligence Machine Learning and Data Science
Published
2025-03-30
DOI
https://doi.org/10.51219/jaimld/aishwarya-babu/574
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Rethinking AI Integration in Software Teams: A Framework for Treating AI as a Scriptable Intern

Aishwarya Babu
Journal of Artificial Intelligence Machine Learning and Data Science
Ethics and Social Impacts of AI
article

Rethinking AI Integration in Software Teams: A Framework for Treating AI as a Scriptable Intern

Aishwarya Babu
article en

Abstract

As AI tools grow more capable and integrated into software development workflows, their role is evolving.This paper presents a design-driven thought experiment: What if AI were treated not merely as a tool, but as a high-context scriptable intern.An intern who is highly capable and efficient but still requiring supervision?We explore a hypothetical sprint in which an AI agent is assigned tasks, delivers pull requests, participates in retrospectives, and receives feedback just like any other teammate.This model proposes a new mental framework for AI integration in software teams, outlines its potential benefits and constraints, and anticipates the cultural and operational shifts needed to support such a change.This scenario also surfaces critical questions about trust, accountability, and the redefinition of work in AI-augmented engineering.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 3(1)
Openalex Percentile: Top 82%
Ethics and Social Impacts of AI
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