Structure code logically

Logical code structure creates predictable patterns that make codebases easier to navigate and understand. By organizing code into well-defined modules and directories with clear boundaries and consistent import/export patterns, developers create a natural hierarchy that reflects the application's architecture. This structured approach is particularly valuable for AI systems, which rely on these patterns to understand relationships between components, trace dependencies, and analyze code flow accurately.

Examples

Schemas
import { UserSchema, PostSchema } from '@/schemas/database-schemas'

Components
import { Button, Card, Modal, Dialog } from '@/components/ui'

Hooks
import { useAddUser, useUpdateUser } from '@/hooks/user-hooks'

Helpers:
import { formatDate, validateEmail, generateUUID } from '@/utils/helpers'

Recommendation

Implement a consistent directory structure that groups related functionality and maintains clear separation of concerns. Establish standardized patterns for module organization, including consistent file naming, import ordering, and export declarations. Create explicit boundaries between modules through well-defined interfaces and limit cross-module dependencies. Document architectural decisions and module relationships in a centralized location to provide additional context for both developers and AI tools.