Test automation tutorials, frameworks, and tools — from first scripts to full CI/CD pipelines.
Test Automation
Django ships with a solid test framework built on Python's unittest.TestCase. pytest-django adds pytest's ergonomics on top — fixtures, parametrize, concise assertions — without replacing Django's test infrastructure. Choosing between them shapes how your test suite reads and scales. Setup pip install pytest pytest-
Test Automation
Django REST Framework (DRF) provides APIClient and APITestCase — a layer above Django's test client with JSON handling and authentication helpers. Combined with pytest-django, you get a fast, ergonomic API testing workflow. Setup pip install djangorestframework pytest pytest-django Copy # settings/test.py INSTALLED_APPS = [ ... 'rest_framework&
Test Automation
Django's ORM is the heart of most applications — and the source of many bugs. N+1 queries, missing indexes, broken managers, and subtle transaction behaviors are best caught at test time. This guide covers strategies for testing ORM queries, model logic, and test data setup. Setup pip install
Test Automation
Creating test data manually with Model.objects.create(...) doesn't scale. When models have 10+ fields, required foreign keys, and complex relationships, tests become maintenance nightmares. factory_boy and model_bakery solve this with generated test data that respects your model's structure. factory_boy factory_boy generates
Test Automation
Django 3.1+ supports async views, and Django Channels adds WebSocket and long-polling support. Testing async code requires async test runners and clients — but the patterns are familiar once you see them. Setup pip install django channels pytest pytest-django pytest-asyncio Copy # pytest.ini [pytest] DJANGO_SETTINGS_MODULE
Sanity Testing
Sanity testing is the most misunderstood testing type in the QA vocabulary. Teams confuse it with smoke testing, use the terms interchangeably, or skip it entirely in favor of running the full regression suite. All of these are mistakes. This guide explains what sanity testing actually is, when it'
Test Automation
When you rewrite a component, migrate to a new library, or refactor a complex algorithm, the hardest question is: "Did I break anything?" Your test suite only catches what it explicitly tests. Differential testing asks a different question: on the same inputs, does the new code produce the
Test Automation
Diffblue Cover can generate hundreds of unit tests in minutes. Manual tests take hours or days. That speed advantage seems decisive — until you look at what you actually get. This post breaks down the real tradeoffs so you can decide where AI generation adds value and where you still need
Test Automation
The Saga pattern is how you implement long-running business transactions across multiple microservices without distributed transactions. Instead of locking resources across services (which doesn't scale and creates tight coupling), a saga breaks the transaction into a sequence of local transactions — each with a compensating transaction to undo
Test Automation
Spring Boot applications have consistent, well-understood patterns: @Service classes orchestrate business logic, @Repository interfaces handle persistence, and @RestController classes expose HTTP endpoints. Diffblue Cover recognizes these patterns and applies appropriate mocking and assertion strategies for each. Here's what to expect from each layer and how to get
Test Automation
Legacy Java codebases are the most compelling use case for Diffblue Cover. These are systems that have been in production for years, with no unit tests, where every change carries risk because there's no safety net. Adding tests manually is slow and risky — touching legacy code to make
Test Automation
Writing unit tests is one of the most time-consuming parts of Java development — and one of the most frequently skipped. Diffblue Cover addresses this by generating JUnit tests automatically using AI. This guide walks through installation, first run, and what to do with the tests it produces. What Diffblue