ai-coding-discipline

What problem does it solve?

These mandatory rules codify best practices for coding tasks and prevent common AI-generated code anti-patterns by ensuring fail-fast behavior, proper error propagation, and disciplined debugging workflows.

Core Features & Use Cases

• Enforces no silent fallbacks (avoid masking missing data)
• Prohibits catch-all try/catch in business logic, promotes boundary-level error handling
• Ensures tests fail when core logic breaks, promoting meaningful assertions
• Discourages hardcoded lookup tables in favor of real logic
• Encourages TDD and retention of debug logs until the fix is verified
• Provides a clear, repeatable checklist for code changes across writing, editing, reviewing, and debugging

Quick Start

Apply these rules to a code change by outlining how you would avoid silent fallbacks, preserve error propagation, and verify behavior with failure-focused tests.