luoling8192/ai-coding-principles

AI Coding Discipline enforces fail-fast coding habits for writing, editing, reviewing, and testing code. It helps prevent silent fallbacks, catch-all error handling, weak tests, and rushed debugging fixes.

DDIA Principles distills Designing Data-Intensive Applications into a reference for data modeling, storage engines, replication, partitioning, consistency, and distributed processing. Use it when designing or reviewing data-intensive systems and trade-offs.