Use boring languages with LLMs
Summary
The article argues that LLMs amplify consistency, suggesting developers should prefer boring, well-defined languages and ecosystems (like Go) to improve agent reliability. It stresses that a consistent corpus and one-right-way tooling lead to better model outputs, and it provides Go code examples and rationale for language choice in AI-enabled development.