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Go Developer Survey 2024
{ts:357} working with AI powered applications already use go or would like to migrate to go for their AI powered workloads and the most serious challenges developers encountered are related to the the library and documentation ecosystems rather than the core language and runtimes that said the most commonly documented paths for getting started are {ts:373} currently python Centric resulting in many organizations starting AI powered work in Python before moving to a more production ready language the word workload makes me laugh I don't know why I think it's the way you say it but I'm really aggressive when I say it um what you're you're an … {ts:1350} responses in the closed Forum were learning how to write go effectively and verbosity of error handling this matches what we saw in open text form where 11% of responses mentioned learning go learning best practices or issues with documentation as their biggest challenges and another 11% mentioning error handling uh my guess is that
Related Pain Points2件
Difficulty identifying and applying idiomatic Go patterns
633% of Go developers struggle to ensure their code follows idiomatic patterns and best practices. Developers switching between Go and other languages face cognitive load, and many request official guidance and tooling support to enforce idioms.
Python-centric AI ecosystem documentation makes Go adoption harder
5Most documented paths for getting started with AI-powered applications are Python-centric, causing organizations to start in Python before migrating to Go. This creates friction in the adoption of Go for production AI workloads.