django-tdd▌
affaan-m/everything-claude-code · updated Apr 8, 2026
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Comprehensive TDD guide for Django with pytest, factory_boy, and DRF API testing.
- ›Covers the red-green-refactor cycle with pytest configuration, test settings, and conftest fixtures for models, views, and API endpoints
- ›Factory Boy patterns for creating test data, including sequences, relationships, and post-generation hooks
- ›Model, view, serializer, and API ViewSet testing strategies with real code examples for CRUD operations and filtering
- ›Mocking and patching techniques for exter
Django Testing with TDD
Test-driven development for Django applications using pytest, factory_boy, and Django REST Framework.
When to Activate
- Writing new Django applications
- Implementing Django REST Framework APIs
- Testing Django models, views, and serializers
- Setting up testing infrastructure for Django projects
TDD Workflow for Django
Red-Green-Refactor Cycle
# Step 1: RED - Write failing test
def test_user_creation():
user = User.objects.create_user(email='[email protected]', password='testpass123')
assert user.email == '[email protected]'
assert user.check_password('testpass123')
assert not user.is_staff
# Step 2: GREEN - Make test pass
# Create User model or factory
# Step 3: REFACTOR - Improve while keeping tests green
Setup
pytest Configuration
# pytest.ini
[pytest]
DJANGO_SETTINGS_MODULE = config.settings.test
testpaths = tests
python_files = test_*.py
python_classes = Test*
python_functions = test_*
addopts =
--reuse-db
--nomigrations
--cov=apps
--cov-report=html
--cov-report=term-missing
--strict-markers
markers =
slow: marks tests as slow
integration: marks tests as integration tests
Test Settings
# config/settings/test.py
from .base import *
DEBUG = True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
# Disable migrations for speed
class DisableMigrations:
def __contains__(self, item):
return True
def __getitem__(self, item):
return None
MIGRATION_MODULES = DisableMigrations()
# Faster password hashing
PASSWORD_HASHERS = [
'django.contrib.auth.hashers.MD5PasswordHasher',
]
# Email backend
EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
# Celery always eager
CELERY_TASK_ALWAYS_EAGER = True
CELERY_TASK_EAGER_PROPAGATES = True
conftest.py
# tests/conftest.py
import pytest
from django.utils import timezone
from django.contrib.auth import get_user_model
User = get_user_model()
@pytest.fixture(autouse=True)
def timezone_settings(settings):
"""Ensure consistent timezone."""
settings.TIME_ZONE = 'UTC'
@pytest.fixture
def user(db):
"""Create a test user."""
return User.objects.create_user(
email='[email protected]',
password='testpass123',
username='testuser'
)
@pytest.fixture
def admin_user(db):
"""Create an admin user."""
return User.objects.create_superuser(
email='[email protected]',
password='adminpass123',
username='admin'
)
@pytest.fixture
def authenticated_client(client, user):
"""Return authenticated client."""
client.force_login(user)
return client
@pytest.fixture
def api_client():
"""Return DRF API client."""
from rest_framework.test import APIClient
return APIClient()
@pytest.fixture
def authenticated_api_client(api_client, user):
"""Return authenticated API client."""
api_client.force_authenticate(user=user)
return api_client
Factory Boy
Factory Setup
# tests/factories.py
import factory
from factory import fuzzy
from datetime import datetime, timedelta
from django.contrib.auth import get_user_model
from apps.products.models import Product, Category
User = get_user_model()
class UserFactory(factory.django.DjangoModelFactory):
"""Factory for User model."""
class Meta:
model = User
email = factory.Sequence(lambda n: f"user{n}@example.com")
username = factory.Sequence(lambda n: f"user{n}")
password = factory.PostGenerationMethodCall('set_password', 'testpass123')
first_name = factory.Faker('first_name')
last_name = factory.Faker('last_name')
is_active = True
class CategoryFactory(factory.django.DjangoModelFactory):
"""Factory for Category model."""
class Meta:
model = Category
name = factory.Faker('word')
slug = factory.LazyAttribute(lambda obj: obj.name.lower())
description = factory.Faker('text')
class ProductFactory(factory.django.DjangoModelFactory):
"""Factory for Product model."""
class Meta:
model = Product
name = factory.Faker('sentence', nb_words=3)
slug = factory.LazyAttribute(lambda obj: obj.name.lower().replace(' ', '-'))
description = factory.Faker('text')
How to use django-tdd on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add django-tdd
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches django-tdd from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate django-tdd. Access the skill through slash commands (e.g., /django-tdd) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★51 reviews- ★★★★★Nia Nasser· Dec 16, 2024
Solid pick for teams standardizing on skills: django-tdd is focused, and the summary matches what you get after install.
- ★★★★★Sophia Ndlovu· Dec 16, 2024
Registry listing for django-tdd matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Nia Farah· Dec 12, 2024
django-tdd reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Dec 8, 2024
Registry listing for django-tdd matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Diya Li· Dec 4, 2024
We added django-tdd from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Omar Malhotra· Nov 23, 2024
Keeps context tight: django-tdd is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Diya Kapoor· Nov 19, 2024
django-tdd fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Diya Jain· Nov 7, 2024
django-tdd has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Charlotte Park· Nov 3, 2024
django-tdd is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diya Anderson· Oct 26, 2024
Keeps context tight: django-tdd is the kind of skill you can hand to a new teammate without a long onboarding doc.
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