I'm noticing interesting challenges when using AI assistants (Claude, GPT-4, etc.) on production codebases. The AI often misses important project context, architectural decisions, and existing patterns - leading to suggestions that technically work but don't align with the project's approach.

Curious how others are handling this, especially in larger teams. How do you maintain consistency? What strategies have proven effective? What hasn't worked?