hermes-runtime-rules

AI coding guidelines for Hermes projects consist of 12 engineering discipline rules emphasizing think-before-coding, simplicity-first, and fail-loud reporting. These rules ensure maintainable, high-quality code development by guiding assistants through established best practices.

You apply coding best practices in a Hermes project by implementing the 12 engineering discipline rules, which guide your coding process through principles like think-before-coding and simplicity-first to ensure maintainable and high-quality code.

The think-before-coding practice for AI development is an engineering discipline rule within the Hermes ecosystem that ensures coding assistants analyze tasks before writing code. It promotes simplicity-first and fail-loud reporting to maintain high code quality.

No specific dependencies are required to use these coding guidelines in Hermes projects. The 12 engineering rules function as standalone discipline guidance for AI coding assistants to ensure quality and efficiency during code development.

Fail-loud reporting matters for AI coding assistants because it is a core engineering discipline rule within the Hermes ecosystem. It ensures errors are reported clearly and immediately, maintaining code quality and efficiency by preventing silent failures.

You should not use these engineering rules for AI development outside the Hermes ecosystem. They are specifically designed as discipline guidance for coding tasks within Hermes-adjacent projects to ensure maintainable, high-quality code.