convex-best-practices

Structuring Convex backend functions by domain improves discoverability and code reuse. Organizing queries and mutations around specific business domains ensures maintainability and accelerates developer onboarding when scaling production applications.

Handle validation and errors in Convex by applying typed inputs and using ConvexError. Enforcing robust error handling patterns for queries and mutations ensures reliable data access and prevents unexpected runtime failures across your application.

Enforce TypeScript safety in Convex by applying structured schemas and typed inputs. TypeScript-first practices for schema definition and validation deliver end-to-end type safety across your backend functions and data access layers.

Yes, you can use ESLint to enforce code quality tooling for Convex projects. Integrating ESLint ensures disciplined TypeScript usage and satisfies requirements for frontmatter metadata and consistent code quality standards across your codebase.

Yes, this guide suits scaling production apps by standardizing how tasks, queries, and mutations are implemented and tested. It provides disciplined patterns that improve reliability and maintainability across growing Convex backends.

Convex projects struggle with consistency when lacking clear patterns for data access functions. Applying disciplined guidelines for function organization, validation, and error handling solves this by standardizing implementation and testing practices.