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Over 91 Percent of Polish Developers Use AI, But Trust in Code Is Becoming a Problem

A JetBrains AI Pulse 2026 survey shows that almost all Polish developers now use AI tools, while separate data from CodeRabbit shows AI-assisted code contains on average 1.7 times more serious bugs than code written entirely by humans.
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Developers are writing less code from scratch and spending more time checking what artificial intelligence wrote for them instead. New data from JetBrains and CodeRabbit show the scale of this shift in Poland, and a question the industry is starting to ask openly: can AI-generated code be trusted without careful review.
In the United States, more than 90 percent of developers already use AI tools, and the market for AI developer solutions has surpassed $8.5 billion in value. Poland is no exception to this trend, and on several metrics it's even ahead. The JetBrains AI Pulse 2026 survey, conducted among 10,000 developers, shows that 91.8 percent of Polish developers use at least one AI-based tool in their daily work.
Agentic Mode Gains Ground
The gap is especially visible in the use of agentic mode, tools that don't just suggest lines of code but independently write, test and fix entire chunks of programs. Nearly 40 percent of Polish developers do this daily, compared with 36 percent globally. Polish developers are also more likely than their international peers to expect better codebase context awareness from AI tools, cited by 30.9 percent of respondents versus 24.3 percent globally, and higher performance on complex projects, reported by 28.1 percent of respondents.
More Bugs, Longer Reviews
Growing adoption, however, comes with a rising burden on quality control. A separate study by CodeRabbit, a company specializing in automated code analysis, found that AI-assisted code fragments contained on average 1.7 times more serious issues than code written entirely by humans. The number of misconfigurations was 75 percent higher, and security-related problems appeared more often than in code written the traditional way.
That translates directly into how teams spend their time. In Poland, 78.2 percent of developers actively participate in code reviews, well above the global average of 60.8 percent. As many as 45 percent of developers say they spend one to two hours a day on code review alone.
That's exactly the question the software industry should be asking itself openly - Jarosław Dąbrowski, Country Manager, JetBrains Poland
Organizations are now colliding with reality: the savings made at the production stage turn into a far higher cost of fixing things later - Jarosław Dąbrowski, Country Manager, JetBrains Poland
Trust Matters More Than Speed
Dąbrowski notes that Polish developers are changing the criteria they use to choose tools. Instead of looking for solutions that write code the fastest, they increasingly choose ones that produce code trustworthy enough not to need lengthy verification. That's a reversal of priorities compared with the first wave of enthusiasm for generative AI in programming, when prototyping speed was what mattered most.
Behind this shift lies another issue: the cognitive load on developers. JetBrains points to a Harvard Business Review study titled "When Using AI Leads to Brain Fry," which describes the cognitive overload experienced by developers forced to constantly verify AI suggestions instead of writing code from scratch themselves.
What It Means for Companies in Poland
For organizations building software, this means the time saved by AI tools at the code-writing stage is sometimes partly absorbed by the extra time needed for reviews and fixes. Companies deploying tools such as Qodana for static code analysis, or integrating AI with CI/CD platforms including GitHub, GitLab and TeamCity, increasingly treat this as mandatory infrastructure rather than an add-on.
The growing share of code review in the daily work of Polish teams also suggests that the developer's role is shifting from author of code toward reviewer and quality controller. That change affects small startup teams and large corporate IT departments alike as agentic tools are adopted at scale.