Part 4.6 — Building a Maintainable Testing Architecture
Writing tests is easy. Maintaining hundreds of them is hard. This post shows how to structure your NestJS backend tests so they scale without pain.
Server-side programming, APIs, authentication, and database management for scalable apps.
Writing tests is easy. Maintaining hundreds of them is hard. This post shows how to structure your NestJS backend tests so they scale without pain.
Authentication logic is critical—and fragile if untested. In this post, you’ll learn how to test JWT auth guards and protected REST routes with confidence.
Integration tests verify the entire request pipeline—controllers, DTOs, pipes, filters, interceptors, and database behavior. This post shows how to test your REST API like a professional.
In this post, you’ll learn how to isolate and test NestJS services, validate DTOs programmatically, and verify custom pipes with clear testing strategies.
Before you write your first test, you need a stable foundation: Jest configuration, test modules, a sandboxed PostgreSQL database, and a clean Prisma workflow for reproducible tests.
Production backends thrive on predictable errors, structured validation, and consistent responses. In this post, you’ll learn how to build those foundations using NestJS pipes, filters, and interceptors.
This post teaches you how to design efficient, relational Prisma queries while avoiding N+1 errors, modeling relations cleanly, and thinking like a PostgreSQL-first backend engineer.
Clean REST architecture starts with controllers, services, and DTO validation. In this post, you’ll build the structure behind every API endpoint you’ll create moving forward.
This post walks you through setting up a clean NestJS backend with Prisma and PostgreSQL — the foundation for all backend work across the rest of this series.
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