Is Your Django Code Production-Grade or Tutorial-Level?
Django powers India's fastest-growing SaaS companies and data-heavy startups. We audit your Django projects against enterprise criteria: model design, ORM query efficiency, admin customization, middleware patterns, and deployment configuration for Gunicorn+Nginx environments.
What Django Technical Interviews Actually Test
Django occupies a unique position in the Indian tech market: it is the primary backend framework for data-science-adjacent engineering roles, GIS applications, content platforms, and internal enterprise tools. Companies that hire Python backends — Zomato, Swiggy, ShareChat, and numerous mid-size SaaS firms — test Django-specific knowledge that generic Python interview preparation does not cover. Our audit evaluates your Django portfolio on the dimensions that these companies test: model design and ORM proficiency, class-based view architecture, middleware patterns, Django admin customization, and deployment configuration for production WSGI environments.
Django's ORM is powerful but deceptive. It makes simple queries trivially easy and complex queries deceptively dangerous. We audit for: N+1 queries from missing select_related() and prefetch_related() calls, inefficient queryset evaluation (fetching entire objects when only a subset of fields is needed), missing database indexes on fields used in filters and ordering, and raw SQL usage when the ORM could express the same query more safely. A Django developer who cannot explain when to use select_related vs prefetch_related is a Django developer who has never worked with a production database.
Django's class-based views are a frequent failure point. We audit for: correct inheritance chains (are you using the right mixin composition or creating Frankenstein views?), proper use of get_context_data vs overriding get()/post() directly, and template organization that follows Django's app-based convention. The admin interface customization is also evaluated — a customized Django admin that matches the business domain of your project signals understanding of Django's full-stack capabilities beyond just building API endpoints.
System Comparison
| EVALUATION CRITERIA | TYPICAL DJANGO PORTFOLIO | ANVIL DJANGO DIAGNOSTIC |
|---|---|---|
| ORM Optimization | Basic filter() and all(). No select_related. N+1 queries everywhere. | N+1 detection with exact queryset fix. select_related/prefetch_related recommendations. Missing index identification. |
| Model Design | Flat models with no relationships. Missing Meta options. No model validation beyond basic field types. | Normalization audit. Relationship directionality check. Meta class optimization. Custom model validation verification. |
| View Architecture | Function-based views for everything. Business logic in views. No separation of concerns. | Class-based view appropriateness audit. Mixin composition review. Service layer extraction recommendations for business logic. |
| Security | DEBUG=True in production settings. SECRET_KEY committed to repo. CSRF protection disabled for 'convenience'. | Settings audit for production hardening. Secret management verification. CSRF/XSS/SQL injection protection verification. |
Frequently Asked Questions
Do you audit Django REST Framework projects?
Yes. DRF-specific checks include: serializer validation patterns, ViewSet vs APIView appropriateness, permission class configuration, pagination implementation, and nested serializer performance (nested serializers with deep relationships can trigger massive N+1 queries — we audit specifically for this pattern). DRF is the standard API layer for Django applications, and our audit is calibrated for DRF-based projects.
What Python-specific quality checks do you run?
Beyond framework-level checks, we audit for: type hinting adoption (gradual typing with mypy compatibility), docstring coverage on public functions, proper use of Python's context managers for resource management, list comprehension vs map/filter appropriateness, and virtual environment/pipfile/poetry configuration. These checks signal professional Python development practices that go beyond Django-specific knowledge.
Get Your Django Portfolio Production-Reviewed
Submit your GitHub repository. Our Python backend engineers audit your Django code against the criteria that Indian SaaS companies test in technical interviews. Receive a diagnostic report within 24 hours with specific file references, ORM optimization recommendations, and a production deployment checklist.
- Expert-verified in 24 hours
- Actionable learning paths