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Key Questions Answered

  • What are the main barriers preventing developers from integrating generative AI into their applications?

  • What can software engineering leaders focus on to prepare for challenges that slow the adoption of generative AI?

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Methodology

The 30th edition of the Developer Nation survey reached more than 12,000 respondents from 128 countries around the world. This research report series delves into key developer trends for Q3 2025 and beyond.

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Barriers to integrating generative AI in applications

Understanding what prevents developers from
building generative AI features across different
company types

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About this Report

Generative artificial intelligence (AI) is rapidly becoming an integral part of the modern software ecosystem, significantly transforming how developers innovate and deliver value in their applications. In fact, this technology has already begun redefining software capabilities and introducing new technical considerations around model selection, integration methods, and user experience design.

As of Q3 2025, a quarter (25%) of professional developers are adding generative AI features to their applications. However, this means that a large share of the developer population is still not building applications that utilise this technology. To understand this from the perspective of developers, we asked over 7,000 professional developers about the main barriers preventing them from integrating generative AI into their applications. For software engineering leaders, these insights provide a benchmark against peers and industries, helping them prioritise technology investments and prepare mitigation strategies for the challenges most likely to slow adoption.

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