Key Questions Answered
To what extent do developers use or work with AI technologies, and how are these woven into their daily workflows?
How are developers integrating AI into their own applications, and what balance are they striking between accessibility and complexity?
What is the state of the AI-assisted coding tools market, including developer awareness, usage, experimentation/churn rates, and loyalty/satisfaction (NPS/CSAT)?
What are developers' top priorities when evaluating fully-managed generative AI services or APIs (e.g. quality, security, reliability, cost)?
What are the dominant deployment patterns among AI/ML developers (e.g. cloud vs. edge/hybrid)?
What do AI/ML developers see as the next major trends in the space?
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Methodology
The report is based on data collected from the 30th edition of the Developer Nation survey edition of the Developer Nation survey, a large-scale, online developer survey that was designed, hosted, and fielded by SlashData over a period of ten weeks between June 2025 and July 2025.
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About this Report
This report is a collaboration between Catchy and SlashData. It explores how developers are navigating “the age of AI”, i.e. the profound shift of the past few years, where breakthroughs in generative models and coding assistants have moved AI from experimental labs into everyday developer workflows. This change is reshaping what it means to be a developer at every level. It’s altering how code is written, how applications are designed, and how developers think about their role in building intelligent systems.
Drawing data from SlashData’s Q3 2025 Developer Nation, this report looks beyond the hype to reveal how AI is being used in practice. We explore the many ways developers are adopting assistants, embedding APIs, and building AI-powered applications.