Key Findings from the 2025 Go Developer Survey
The Go team at Google has released the results of the 2025 Go Developer Survey, based on responses from 5,379 developers. The report highlights three major insights: developers seek better guidance on best practices and standard library usage; while AI-powered tools are widely adopted for coding and learning, satisfaction remains moderate due to quality concerns; and many users frequently consult documentation for core commands like go build, indicating a need for improved help systems. Demographically, most respondents are experienced professional developers, with Go often being a secondary language learned after starting their careers. The survey notes a decline in new Go users, potentially linked to broader trends in entry-level hiring. Respondents primarily work in technology but also represent diverse industries and organization sizes, with significant participation from North America and Europe. These findings aim to help the Go community prioritize ecosystem improvements and tooling enhancements for the upcoming year.
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Key Findings from the 2025 Go Developer Survey
The Go team at Google has released the results of the 2025 Go Developer Survey, based on responses from 5,379 developers. The report highlights three major insights: developers seek better guidance on best practices and standard library usage; while AI-powered tools are widely adopted for coding and learning, satisfaction remains moderate due to quality concerns; and many users frequently consult documentation for core commands like go build, indicating a need for improved help systems. Demographically, most respondents are experienced professional developers, with Go often being a secondary language learned after starting their careers. The survey notes a decline in new Go users, potentially linked to broader trends in entry-level hiring. Respondents primarily work in technology but also represent diverse industries and organization sizes, with significant participation from North America and Europe. These findings aim to help the Go community prioritize ecosystem improvements and tooling enhancements for the upcoming year.
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