Database Testing
ORMs hide SQL behind object abstractions, which makes application code cleaner but creates a testing trap: it's tempting to mock the ORM and test nothing real. Mock-based ORM tests can show 100% coverage while completely missing query logic bugs, N+1 problems, and constraint violations that only
Backend Testing
Medusa.js is an open-source headless commerce platform built on Node.js. Unlike Shopify or WooCommerce, Medusa is code-first: you own the backend, extend it with custom services and workflows, and connect any frontend. This power comes with responsibility — you need to test your customizations to ensure the
Database Testing
Backend-as-a-Service (BaaS) platforms have become a default choice for teams who want authentication, databases, storage, and real-time subscriptions without building backend infrastructure from scratch. Platforms like Appwrite, Nhost, PocketBase, Xata, and Supabase each offer Firebase-style convenience with different trade-offs. Testing BaaS-backed applications requires
Testing
Convex has become a popular choice for full-stack TypeScript applications that need reactive, real-time backends. Its architecture—where queries automatically re-run when underlying data changes—is powerful but also introduces unique testing challenges. How do you verify that a query stays in sync? How do you test
Testing
Testing NestJS microservices is harder than testing monolithic HTTP apps because you now have distributed components, message brokers, and transport-specific behavior to deal with. The test strategy depends on what you're testing: the message handler logic itself, the transport serialization, or the end-to-end flow across
Testing
Unit testing in NestJS is not complicated, but it does require understanding how the framework's dependency injection container works. Once you get that, writing fast, isolated tests for services, controllers, and providers becomes straightforward. This guide walks through the real mechanics — no hand-waving. How NestJS Testing Works
Testing
End-to-end tests for NestJS apps test the full HTTP stack — routing, guards, pipes, middleware, serialization — without deploying to a server. You boot your actual NestJS application inside the test process, send real HTTP requests against it, and assert on real HTTP responses. No mocks, no shortcuts. This guide
Testing
Testing GraphQL APIs in NestJS requires a different approach than REST. The entry point is always POST /graphql, the response is always 200 OK (even for errors), and you need to think about resolvers, subscriptions, schema validation, and the N+1 problem. This guide covers all of it. Testing Resolvers
gRPC
Go has first-class gRPC support via google.golang.org/grpc. The grpc-go package provides everything you need to build and test gRPC services — including testing utilities that let you run tests against real in-process servers without opening network ports. This guide covers the patterns that matter for
gRPC
gRPC services are harder to test than REST APIs. HTTP endpoints accept plain JSON you can curl in seconds; gRPC uses binary Protobuf encoding over HTTP/2 and requires generated client code to send requests. This complexity shows up in your test setup. This guide covers a complete gRPC testing
Go
Table-driven tests are Go's idiomatic approach to testing multiple input/output combinations. Instead of writing one test function per case, you define all cases as a slice of structs and loop through them. The Go standard library itself uses this pattern extensively. The Basic Pattern func TestAdd(
Go
testify is the most popular Go testing library. It provides three main packages: assert for fluent assertions, require for fail-fast assertions, mock for interface mocking, and suite for test organization. While the standard testing package is sufficient for simple cases, testify makes complex test suites significantly more readable. Installation