A recent study by JetBrains has revealed a significant integration of AI into development workflows, highlighting both excitement and concerns among professionals.
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It is rare to find developers who haven’t incorporated AI into their daily routines. From versatile conversational agents like ChatGPT or Claude, to tools focused on code generation and review, or smart features within development environments, the offerings are rapidly expanding and practices are becoming more structured. In its comprehensive State of Developer Ecosystem Report 2025, JetBrains explores how developers have embraced artificial intelligence. While AI has been widely adopted, it has not yet allayed professionals’ concerns.
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91% of companies have incorporated AI into their practices, though the rate of adoption varies by organization. JetBrains’ data shows the following breakdown:
- 9% of companies do not use AI at all in their development workflows
- 21% are in the exploratory stage, studying AI without having implemented it yet
- 27% are conducting experiments within limited workflows or fields
- 30% have adopted AI in certain parts of their development
- 14% extensively use AI in most of their development workflows
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On an individual level, 85% report using AI for coding or software development, and 62% use at least one AI-enabled code assistant, agent, or editor on a daily basis.
AI: Top Tools Used by Developers
The most frequently used tools include ChatGPT, which is significantly more popular than other platforms, being integrated into the practices of over 40% of coders. GitHub Copilot and Cursor are the next most popular tools. Here are the top 10 AI tools used by developers:
- ChatGPT: regularly used by 41% of developers
- GitHub Copilot: 30%
- Cursor: 13%
- JetBrains AI Assistant: 13%
- DeepSeek: 10%
- Google Gemini: 9%
- Anthropic Claude: 8%
- JetBrains Junie: 5%
- Anthropic Claude Code: 4%
- TONGYI Lingma: 4%
Note: JetBrains mentions that there may be a bias in the data, as users of its products might be more inclined to respond to the survey. Therefore, the data regarding JetBrains tools could be slightly inflated.
AI: Developers Prefer AI for Routine Tasks
“Developers would like to delegate routine tasks to AI, but prefer to maintain control over more creative and complex tasks,” states JetBrains. Among the tasks developers prefer to handle themselves are email and messaging communications, writing application logic code, actions in the terminal/CLI, debugging, and understanding the code.
However, professionals are willing to delegate certain tasks to AI, including writing repetitive code, searching for development-related information online, converting code to other languages, drafting comments or documentation, and summarizing recent changes in the code.
The respondents highlight several positive contributions of AI across various areas. The top five benefits are:
- Improved productivity (74%)
- Faster completion of repetitive tasks (73%)
- Less time spent searching for information (72%)
- Faster code development and writing (69%)
- Quicker assimilation of new technologies (65%)
Ongoing Concerns
The mindset of developers regarding the advancement of AI technologies is mainly optimistic for 51% of respondents, compared to 41% who are pessimistic and 5% who are indifferent. However, concerns affect nearly all developers: only 1% of those surveyed indicate having no worries about the emergence of AI in their field.
The top five concerns are related to the following issues:
- Code quality (23%)
- Incomplete understanding of AI tools (18%)
- Security issues (13%)
- Erosion of coding skills (11%)
- Lack of understanding of context (10%)
AI has come, seen, but not yet conquered, concludes JetBrains.
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Jordan Park writes in-depth reviews and editorial opinion pieces for Touch Reviews. With a background in UI/UX design, Jordan offers a unique perspective on device usability and user experience across smartphones, tablets, and mobile software.