convex-best-practices

Convex functions should be organized by domain, grouping related queries, mutations, and schemas together to ensure modularity. This domain-driven approach maintains clean architecture and reliable data modeling across production applications.

Convex validation requires defining argument and return validators using typed schemas within your function definitions. Enforcing these validators ensures correctness and prevents invalid data from entering your backend system during mutations and queries.

TypeScript is fully supported in Convex backend functions to ensure strict type safety. Adopting typed schemas and TypeScript usage across your project guarantees correctness in query patterns, mutations, and end-to-end data modeling workflows.

Code quality in Convex projects is enforced via eslint-plugin integration, which provides automated linting for architectural guidance. Configuring this plugin helps maintain robust error handling patterns and consistent function organization across your codebase.

Robust error handling patterns in Convex involve structuring your mutations and queries to catch and manage errors gracefully. Implementing clear architectural guidance ensures reliable application behavior when operations fail during data processing.

YAML frontmatter with name and description is enforced for Convex functions in production environments. This structured metadata, alongside proper dependencies and components handling, maintains clear documentation and architectural consistency.