Go developers seek best practices, AI tools disappoint

Summary

AI tool quality directly impacts your workflow when learning unfamiliar modules or writing boilerplate. Simultaneously, frequent re-reading of go build, go run, and go mod docs signals documentation gaps affecting day-to-day velocity.

Why it matters

AI tool quality directly impacts your workflow when learning unfamiliar modules or writing boilerplate. Simultaneously, frequent re-reading of go build, go run, and go mod docs signals documentation gaps affecting day-to-day velocity.

Sources

1. 1.Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code), but their satisfaction with these tools is middling due, in part, to quality concerns
2. 2.A surprisingly high proportion of respondents said they frequently need to review documentation for core go subcommands, including go build, go run, and go mod, suggesting meaningful room for improvement with the go command's help system
3. 3.The vast majority of respondents (91%) said they felt satisfied while working with Go
4. 4.5,379 Go developers who responded to our survey invitation this year