Show HN: Gox – Strict static analyzer for Go designed for LLM-written code (github.com)

Gox has been introduced as a strict static analyzer for Go, specifically designed to address bugs commonly introduced by LLMs (Large Language Models) when generating code. Unlike traditional Go linters, which primarily surface warnings, gox stops the build process for any errors, effectively functioning as a gate for code quality. Key to its operation is the mandatory use of inline comments to clarify adjacent arguments of identical types, thereby preventing common issues such as parameter swapping—a problem that can result in serious errors in production code. Gox is significant for the AI/ML community as it helps mitigate risks associated with using AI-generated code in development. With zero external dependencies and implemented solely using Go's standard library, gox promises minimal maintenance while focusing on enforcing clear documentation at the call site. It’s built as a tool for LLMs, integrating smoothly into environments like Claude Code to ensure that any generated code adheres to established guidelines. As an experimental tool, gox’s rule set is still evolving, providing room for further enhancements and adjustments to improve its efficiency in catching LLM-specific bugs.