Programmers are starting to trust AI more, study shows. 58% use AI to write code daily; GitHub Copilot and ChatGPT remain the most popular tools

The data showed that writing code and testing are the most common uses of artificial intelligence, while debugging, code review, and identifying performance issues are lower priorities, meaning that AI tools are used as a first step and human oversight remains crucial, TechRadar writes .

However, despite the fact that many developers use these tools several times a week, many of them still report that they do not use AI at all.

About 58% of developers use AI to write code «almost daily,» «often,» or «occasionally»; 14% use it «rarely,» and 28% never use it.

While the level of implementation—or at least experimentation—is increasing, certain concerns still remain.

More than three-quarters of respondents (78%) worry that AI-generated content could be wrong. The most common obstacles also include:

• distrust of the results (70%);
• poor understanding of relevant context (51%);
• concerns about data privacy (50%).

Many also oppose AI on ethical and environmental grounds, especially as tech companies continue to cut jobs in the very areas where AI is seeing the greatest productivity gains.

When asked about the strengths and weaknesses of AI, over 1,400 respondents generally agreed that artificial intelligence lacks:

• efficiency in large and complex C++ projects,
• writing security-critical code;
• Decision-making at the architecture and configuration level, which requires a deep understanding of the context.

However, AI is proving successful in understanding unfamiliar or outdated code.

GitHub Copilot remains the most used AI tool focused on specialized code (53%), but Claude Code (44%) is gaining market share. OpenAI’s Codex (14%) is much less popular, but ChatGPT (53%) leads in terms of general AI assistance, while Gemini (39%) and Claude Chat (30%) lag behind.

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