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The Complex Path of Generative AI Adoption in Software Development

The Complex Path of Generative AI Adoption in Software Development

The Complex Path of Generative AI Adoption in Software Development

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13 Pages

The EPAM white paper explores the challenges and successes of integrating generative AI into software development. Through a large-scale implementation across 10 teams, EPAM assessed AI tools like GitHub Copilot and internal GPT-based assistants. Findings highlight the importance of AI fluency, change management, clear metrics, and tailored workflows. Adoption hurdles included varied attitudes, measurement complexity, and project inconsistency. Success required strong leadership, prepared data, and iterative evaluation. The paper offers a roadmap to scale GenAI use, emphasizing measurable impact, user engagement, and cultural alignment for long-term productivity gains.

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