The Evolving Landscape of Application Development: Insights from Three Years of Research

What's the top challenge for developers in the age of AI? The answer isn't technical. It's human.

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Insights from three years of developer survey data

An overview of the Docker 'State of Application Development' survey, which collected data from over 3,500 technical professionals across 100 countries.

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AI's growing impact on developer tools and roles

Survey data shows generative AI is the top industry trend, driving a shift toward integrated tools like GitHub Copilot and creating new AI/ML specialist roles.

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Python usage is rapidly catching up to JavaScript

The gap between Python and JavaScript usage has narrowed significantly over three years, likely reflecting the growing interest in building AI and ML applications.

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Developer challenges are shifting from code to collaboration

As automation handles repetitive tasks, developers report getting stuck more on complex issues like testing, debugging, and collaborative problems like pull request reviews.

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Security is now a shared responsibility across all teams

Data reveals that security is no longer a niche concern, with developers, DevOps, and security teams all feeling responsible for it in a rapidly changing tech landscape.

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Defining the future of the modern developer role

A look at the key questions facing the industry, including where AI will provide new leverage and how to maintain collaboration and security at high velocity.