Artificial intelligence is no longer a novelty in software engineering — it has become part of the everyday toolkit for most developers. According to the State of the Developer Ecosystem Report 2025 by JetBrains, 85% of developers now integrate AI tools into their regular coding routines, while only a small minority — about 15% — have yet to adopt them.
The study, released on October 15, collected insights from 24,534 developers across 194 countries, including China, the United States, and India. It explored how developers use AI tools, what programming languages they work with, and how they view the shifting technology job market.
Among respondents, 62% reported using at least one AI-driven coding assistant or editor, reflecting how these technologies are reshaping daily workflows. The most frequently used platforms were ChatGPT (41%) and GitHub Copilot (30%), emphasizing the dominance of conversational and integrated AI solutions in modern coding environments.
Developers cited multiple advantages of adopting AI tools: higher productivity, quicker completion of repetitive tasks, reduced time spent on research, and faster adaptation to new technologies. Many noted that automating routine work allows them to focus more on architecture, logic, and problem-solving rather than repetitive coding.
However, the report also highlighted concerns. Developers expressed reservations about AI’s ability to understand complex code, potential risks to code quality, and issues surrounding privacy, data security, and contextual awareness. Some feared that overreliance on AI might negatively affect hands-on coding skills over time.
Looking ahead, 68% of surveyed professionals believe that AI competency will soon become a required skill in the developer job market. Despite mixed emotions — ranging from optimism to anxiety — the overall sentiment remains that AI represents a fundamental shift in how software is created, optimized, and maintained.
The findings position AI not just as an enhancement to the development process, but as a core component of the modern software ecosystem, driving both innovation and efficiency across the global developer community.
AI Becomes Core to Modern Software Development, JetBrains Report Shows
Artificial intelligence is no longer a novelty in software engineering — it has become part of the everyday toolkit for most developers. According to the State of the Developer Ecosystem Report 2025 by JetBrains, 85% of developers now integrate AI tools into their regular coding routines, while only a small minority — about 15% — have yet to adopt them.
The study, released on October 15, collected insights from 24,534 developers across 194 countries, including China, the United States, and India. It explored how developers use AI tools, what programming languages they work with, and how they view the shifting technology job market.
Among respondents, 62% reported using at least one AI-driven coding assistant or editor, reflecting how these technologies are reshaping daily workflows. The most frequently used platforms were ChatGPT (41%) and GitHub Copilot (30%), emphasizing the dominance of conversational and integrated AI solutions in modern coding environments.
Developers cited multiple advantages of adopting AI tools: higher productivity, quicker completion of repetitive tasks, reduced time spent on research, and faster adaptation to new technologies. Many noted that automating routine work allows them to focus more on architecture, logic, and problem-solving rather than repetitive coding.
However, the report also highlighted concerns. Developers expressed reservations about AI’s ability to understand complex code, potential risks to code quality, and issues surrounding privacy, data security, and contextual awareness. Some feared that overreliance on AI might negatively affect hands-on coding skills over time.
Looking ahead, 68% of surveyed professionals believe that AI competency will soon become a required skill in the developer job market. Despite mixed emotions — ranging from optimism to anxiety — the overall sentiment remains that AI represents a fundamental shift in how software is created, optimized, and maintained.
The findings position AI not just as an enhancement to the development process, but as a core component of the modern software ecosystem, driving both innovation and efficiency across the global developer community.
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