From Programmer to AI Whisperer

Nadafian, Ali; Shoaei, Mohammad Hossein; Jalili, Mohammad Mobin; Yasinian, Hamid

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Volume 4, Issue 10 (3-2026)

3 2026, 4(10): 17-26

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From Programmer to AI Whisperer

Ali Nadafian

, Mohammad Hossein Shoaei

, Mohammad Mobin Jalili

, Hamid Yasinian

Abstract: (3 Views)

Abstract
This review article investigates the recent transformation in software professions driven by the integration of intelligent systems specifically Large Language Models (LLMs) and code generation tools into the development process, giving rise to novel occupational roles. The authors analyze the historical trend of transitioning from low-level coding to mediating roles between algorithmic output and human objectives. The paper identifies the key competencies of this nascent profession, including model literacy, conceptual interpretation and translation, ethical guidance, strategic prompt design, model behavior analysis, and stakeholder alignment.

By reviewing case studies, such as the use of GitHub Copilot and algorithmic fairness audits, and introducing a human-machine collaboration cycle, the paper elucidates the prevalent mechanisms within these interactions. Furthermore, the social and economic implications of this transition are analyzed through a two-pronged framework: on one hand, increased productivity and the creation of new high-value opportunities; and on the other, the risk of a skill gap and occupational inequality.

Based on these findings, the authors propose a multi-stage educational framework encompassing model literacy, technical collaboration, critical and ethical thinking, and strategic integration. They also deem supportive policies such as retraining programs, curriculum revision, professional standardization, and legal regulation essential. The conclusion emphasizes that the new role of these specialists is the practical translation of model behavior into human action, and the most significant research gap lies in the empirical evaluation of the value and efficiency of this role through controlled, long-term studies.

Article number: 3

Keywords: Human-Machine Collaboration, Prompt Engineering, Large Language Model (LLM) Behavior, Interpretive Translation, Ethical Governance, Retraining Framework, Human-in-the-Loop (HITL) Design

Full-Text [PDF 572 kb] (3 Downloads)

Type of Study: Research | Subject: General
Received: 2025/11/2 | Accepted: 2026/10/2 | Published: 2026/10/2

References

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