convex-development

Organize Convex backends using the deep module pattern: place core logic in convex/model/ and expose lightweight public API wrappers in convex/*.ts. This separation improves maintainability, reduces query costs through efficient indexing and pagination, and supports both reactive reads and non-reactive endpoints.

Apply Convex best practices: use .withIndex() for indexed queries, paginate results to reduce data transfer, design schemas for common access patterns, and distinguish reactive reads from non-reactive mutations. These practices lower costs and improve backend robustness.

Convex backends support embeddings and vector search patterns for semantic queries. Apply migration patterns and schema design practices to store embeddings efficiently, then use vector indexing and search techniques within your organized backend architecture.

Convex enforces schema design and migration patterns to maintain consistency. Commit convex/_generated files, follow functional requirements in code review, and plan migrations carefully to ensure secure, cost-efficient schema evolution across your backend.

Yes. The Convex development framework covers architecture discussions, code review practices, and security guidance. It helps teams establish patterns for query optimization, schema design, and cost-efficient backend structure through best-practice enforcement.

Yes. Convex requires committing convex/_generated to maintain consistency across your backend. This ensures type safety, proper function registration, and reproducibility in your development and deployment workflows.