Architecture 92 A
Security 93 A
Quality 80 B
Documentation 92 A
Maintainability 86 B+
Performance 80 B
Executive Summary
Your codebase scores A- (89/100) — strong security with performance gaps

### Top Strengths

Security A (94)
Documentation A (93)
Architecture A (92)

### Key Concerns

Performance B (81)
Quality B (81)
Maintainability B+ (86)
Severity Distribution
medium (16) low (25) info (24)
65 findings · 6 agents · 136s · ~446h tech debt
What to Fix First

1. 01> medium ORM architecture has deep class hierarchy and complex query compilation django/db/models/sql/compiler.py

   This is inherent complexity for a full-featured ORM. For any future refactoring, consider extracting query compilation strategies into more focused modules. The existing separation into sql/compiler.py, sql/query.py, sql/where.py is already a good pattern.

2. 02> medium Admin contrib app is a monolithic module with oversized options.py django/contrib/admin/options.py

   Consider splitting ModelAdmin's view methods into a separate mixin or module (e.g., admin/views/model_views.py) to separate view logic from configuration. This would improve testability and reduce the cognitive load of options.py.

3. 03> medium GZip middleware can enable BREACH-style attacks on HTTPS responses django/middleware/gzip.py

   Django already documents this risk. Consider adding a runtime warning when GZipMiddleware is used alongside CSRF middleware, or adding BREACH mitigation techniques (e.g., random padding) to the compression output.

4. 04> medium Extremely large admin options module likely has high cyclomatic complexity django/contrib/admin/options.py

   While this is a mature framework file, consider splitting into separate concerns: form handling, permission checking, view dispatching, and inline management. This would improve testability and maintainability.

5. 05> medium SQL query compilation module is a known complexity hotspot django/db/models/sql/compiler.py

   Extract SQL generation strategies per clause type (SELECT, WHERE, JOIN, GROUP BY) into dedicated helper classes. This is a long-term refactor that would improve the ability to add new SQL features.

A- 89 / 100
Architecture
92 A
Security
94 A
Quality
81 B
Documentation
93 A
Maintainability
86 B+
Performance
81 B
65
Findings
0
Critical
136s
Duration
$24.19
Cost
6
Agents

## Architecture (13)

medium ORM architecture has deep class hierarchy and complex query compilation ~40.0h ▶
django/db/models/sql/compiler.py
The ORM layer spans django/db/models/ (fields, expressions, lookups, query, manager, base), django/db/models/sql/ (compiler, query, where, datastructures), django/db/backends/ (base + 4 database backends), and django/db/migrations/. The SQL compiler (django/db/models/sql/compiler.py) and query builder (django/db/models/sql/query.py) are known to be extremely complex files. The deep inheritance chain from Model -> base.py, with fields spread across __init__.py, composite.py, files.py, generated.py, json.py, related.py, and related_descriptors.py creates a wide surface area that can be difficult to reason about.
Recommendation: This is inherent complexity for a full-featured ORM. For any future refactoring, consider extracting query compilation strategies into more focused modules. The existing separation into sql/compiler.py, sql/query.py, sql/where.py is already a good pattern.
medium Admin contrib app is a monolithic module with oversized options.py ~16.0h ▶
django/contrib/admin/options.py
django/contrib/admin/options.py is the central file containing ModelAdmin, InlineModelAdmin, and related classes. This single file handles form generation, change list views, add/change/delete views, permissions, inline formsets, and more. The admin module also has tight coupling between options.py, sites.py, views/main.py, helpers.py, and filters.py. While the admin is well-organized with separate views/, templatetags/, and templates/ directories, the core options.py file bears too much responsibility.
Recommendation: Consider splitting ModelAdmin's view methods into a separate mixin or module (e.g., admin/views/model_views.py) to separate view logic from configuration. This would improve testability and reduce the cognitive load of options.py.
low GIS contrib module has significant internal complexity and deep nesting ~40.0h ▶
django/contrib/gis/__init__.py
django/contrib/gis/ is the most complex contrib app, containing its own database backends (db/backends/ with 4 implementations), GDAL bindings (gdal/ with prototypes/), GEOS bindings (geos/ with prototypes/), custom model fields, forms, serializers, management commands, and utilities. While this complexity is justified by the domain, the deep nesting (e.g., django/contrib/gis/geos/prototypes/topology.py) and the parallel backend hierarchy (gis/db/backends/postgis/ extending db/backends/postgresql/) create a significant maintenance surface.
Recommendation: Consider whether the GIS module could benefit from being a separate package with its own release cycle, reducing the core framework's complexity. The current architecture is sound but the coupling to C libraries (GDAL, GEOS) makes it fundamentally different from other contrib apps.
low Migration system has well-separated concerns but complex interdependencies ~20.0h ▶
django/db/migrations/autodetector.py
django/db/migrations/ separates concerns into autodetector.py (change detection), executor.py (migration execution), graph.py (dependency resolution), loader.py (migration discovery), migration.py (migration representation), operations/ (field, model, and special operations), optimizer.py (migration optimization), questioner.py (interactive prompts), recorder.py (applied migration tracking), serializer.py (migration serialization), state.py (project state), and writer.py (migration file generation). While each module has a clear role, the autodetector and state modules are known to be complex due to the inherent difficulty of schema change detection.
Recommendation: The migration system's complexity is well-managed through separation of concerns. Future improvements could focus on making the autodetector more modular by extracting detection strategies for different types of changes.
info Exemplary layered architecture with clear separation of concerns ▶
django/__init__.py
Django's architecture follows a well-established layered pattern: core utilities (django/utils), configuration (django/conf), application registry (django/apps), database layer (django/db), HTTP layer (django/http), middleware pipeline (django/middleware), URL routing (django/urls), template engine (django/template), forms (django/forms), views (django/views), and contrib apps (django/contrib). Dependencies flow consistently from higher layers (contrib, views) down to lower layers (db, http, utils). This is a mature, battle-tested architecture.
Recommendation: No action needed. This is a positive architectural observation.
info Well-designed database backend abstraction layer ▶
django/db/backends/base/base.py
The database backend architecture in django/db/backends/ follows a clean abstract base pattern: django/db/backends/base/ defines abstract interfaces (base.py, client.py, creation.py, features.py, introspection.py, operations.py, schema.py, validation.py), and each backend (mysql, oracle, postgresql, sqlite3) provides concrete implementations. This allows adding new backends with minimal changes to core code. The GIS extension (django/contrib/gis/db/backends/) follows the same pattern, extending each backend with spatial capabilities.
Recommendation: No action needed. This is a well-executed strategy pattern.
info Contrib apps have appropriate dependency isolation ▶
django/contrib/__init__.py
Each contrib app (admin, auth, contenttypes, sessions, messages, staticfiles, gis, postgres, flatpages, redirects, sites, sitemaps, syndication, humanize) is self-contained with its own models, views, forms, templates, static files, locale files, migrations, management commands, and app configuration. Dependencies between contrib apps are explicit (e.g., admin depends on auth and contenttypes, auth depends on contenttypes). The apps/ registry system (django/apps/config.py, django/apps/registry.py) provides clean app discovery and configuration.
Recommendation: No action needed. The contrib app isolation is well-maintained.
info File storage layer has clean abstraction with multiple backends ▶
django/core/files/storage/__init__.py
django/core/files/storage/ demonstrates good architecture with a handler (handler.py), base class (base.py), filesystem implementation (filesystem.py), memory implementation (memory.py), and mixins (mixins.py). The __init__.py provides a clean public API. This pattern is consistent with the cache backends (django/core/cache/backends/) and mail backends (django/core/mail/backends/).
Recommendation: No action needed. Good use of the strategy pattern across multiple subsystems.
info New tasks subsystem follows established patterns ▶
django/tasks/__init__.py
The django/tasks/ module (backends/base.py, backends/dummy.py, backends/immediate.py, base.py, checks.py, exceptions.py, signals.py) follows the same backend abstraction pattern used by cache, mail, and file storage. This demonstrates architectural consistency in the framework's evolution.
Recommendation: No action needed. Good architectural consistency.
info Template engine supports multiple backends with clean abstraction ▶
django/template/backends/base.py
django/template/backends/ provides a base class (base.py) with implementations for Django templates (django.py), Jinja2 (jinja2.py), and a dummy backend (dummy.py). The template system is well-layered: engine.py handles configuration, base.py provides core parsing/rendering, loader_tags.py handles template inheritance, and loaders/ provides multiple template loading strategies (filesystem, app_directories, cached, locmem). The forms module (django/forms/) mirrors this with both templates/ and jinja2/ directories.
Recommendation: No action needed. The template engine architecture is well-designed.
info Middleware architecture follows a clean pipeline pattern ▶
django/middleware/__init__.py
django/middleware/ contains focused, single-responsibility middleware classes: cache.py, clickjacking.py, common.py, csp.py, csrf.py, gzip.py, http.py, locale.py, security.py. The handler layer (django/core/handlers/base.py, asgi.py, wsgi.py, exception.py) orchestrates the middleware chain. Each middleware is independent and composable. The CSP middleware (csp.py) is a newer addition that follows the established pattern.
Recommendation: No action needed. Clean middleware architecture.
info Comprehensive system checks architecture ▶
django/core/checks/registry.py
django/core/checks/ provides a well-organized check framework with a registry (registry.py), message types (messages.py), and domain-specific checks: async_checks.py, caches.py, commands.py, database.py, files.py, model_checks.py, templates.py, translation.py, urls.py, and security/ (base.py, csrf.py, sessions.py). Individual contrib apps also define their own checks (admin/checks.py, auth/checks.py, contenttypes/checks.py, sites/checks.py, staticfiles/checks.py, tasks/checks.py). This extensible check system is a strong architectural feature.
Recommendation: No action needed. The check framework is well-designed and extensible.
info Test suite mirrors source architecture with comprehensive coverage ▶
tests/runtests.py
The tests/ directory contains over 200 test packages that mirror the source architecture. Each major feature has dedicated test modules (e.g., tests/admin_views/, tests/auth_tests/, tests/migrations/, tests/queries/, tests/template_tests/). The test infrastructure (tests/runtests.py, tests/test_sqlite.py) supports multiple database backends. This comprehensive test organization supports the framework's stability guarantees.
Recommendation: No action needed. Excellent test organization.
estimated effort: ~116h

## Security (10)

medium GZip middleware can enable BREACH-style attacks on HTTPS responses ~4.0h ▶
django/middleware/gzip.py
django/middleware/gzip.py implements response compression. When used with HTTPS and CSRF tokens or other secrets in response bodies, this can enable BREACH-style compression side-channel attacks (CVE-2013-3587). The middleware exists in the codebase and can be enabled by users. CWE-310: Cryptographic Issues. While Django documents this risk, the middleware remains available without built-in mitigations against BREACH.
Recommendation: Django already documents this risk. Consider adding a runtime warning when GZipMiddleware is used alongside CSRF middleware, or adding BREACH mitigation techniques (e.g., random padding) to the compression output.
low File-based session backend susceptible to path traversal if session key is not properly validated ~2.0h ▶
django/contrib/sessions/backends/file.py
The file-based session backend (django/contrib/sessions/backends/file.py) stores sessions as files on disk. While Django validates session keys, the file backend constructs file paths from session identifiers. If session key validation were bypassed, this could lead to path traversal. CWE-22: Improper Limitation of a Pathname to a Restricted Directory. Django's session key validation in the base backend mitigates this, but the file backend is an additional attack surface.
Recommendation: The existing session key validation provides adequate protection. Consider adding an additional path traversal check in the file backend's _key_to_file method as defense-in-depth.
low Static file serving view intended only for development use ~0.5h ▶
django/views/static.py
django/views/static.py provides a static file serving view that includes a warning about not being suitable for production. The django/conf/urls/static.py helper only adds the URL pattern when DEBUG is True. However, if developers manually configure the static view in production, it could serve arbitrary files. CWE-552: Files or Directories Accessible to External Parties. OWASP A01:2021 Broken Access Control.
Recommendation: The existing safeguards (DEBUG check, documentation warnings) are appropriate for a framework. The static.serve view already validates paths to prevent directory traversal. This is informational.
info Default SECRET_KEY in project template is a placeholder requiring user action ~1.0h ▶
django/conf/project_template/project_name/settings.py-tpl
The project template at django/conf/project_template/project_name/settings.py-tpl generates a SECRET_KEY directly in the settings file. While Django's startproject command generates a random key, the pattern of storing secrets directly in source code files encourages poor practices. CWE-798: Use of Hard-coded Credentials. OWASP A07:2021 Identification and Authentication Failures. This is a design choice rather than a vulnerability in Django itself, but it affects all new Django projects.
Recommendation: Consider adding a comment in the template encouraging use of environment variables for SECRET_KEY, or generating the template with os.environ.get('SECRET_KEY') pattern by default.
info Session serializer uses JSON by default but pickle was historically available ~0.5h ▶
django/contrib/sessions/serializers.py
Django's session framework (django/contrib/sessions/serializers.py) provides serializers for session data. The default JSONSerializer is safe, but the framework still supports custom serializers which could include unsafe deserialization. The session backends in django/contrib/sessions/backends/ process serialized data that, if a pickle-based serializer were configured, could lead to remote code execution. CWE-502: Deserialization of Untrusted Data.
Recommendation: The current default (JSONSerializer) is secure. This is informational — Django correctly defaults to safe serialization. No action needed unless custom serializers are introduced.
info Security checks framework provides comprehensive deployment validation ▶
django/core/checks/security/base.py
Django includes extensive security checks in django/core/checks/security/ (base.py, csrf.py, sessions.py) that validate security-relevant settings at deployment time. These check for SECURE_SSL_REDIRECT, SECURE_HSTS_SECONDS, SESSION_COOKIE_SECURE, CSRF_COOKIE_SECURE, X_FRAME_OPTIONS, and more. This is a positive security feature that helps prevent misconfigurations. OWASP A05:2021 Security Misconfiguration.
Recommendation: No action needed. This is a positive finding demonstrating Django's security-by-default approach. The check framework is comprehensive and well-maintained.
info CSP middleware is a new addition providing Content-Security-Policy support ▶
django/middleware/csp.py
django/middleware/csp.py provides built-in Content-Security-Policy header support, which is a significant security improvement. This middleware, along with django/utils/csp.py and django/views/decorators/csp.py, provides framework-level CSP support. This helps prevent XSS attacks. CWE-79: Improper Neutralization of Input During Web Page Generation.
Recommendation: Positive finding. Ensure documentation encourages adoption of CSP headers in production deployments.
info Password hashers support multiple algorithms with secure defaults ~2.0h ▶
django/contrib/auth/hashers.py
django/contrib/auth/hashers.py implements multiple password hashing algorithms. The default configuration in django/conf/global_settings.py uses PBKDF2 with SHA256 as the primary hasher, with Argon2 and other hashers available. The framework includes automatic password hash upgrading when users log in. CWE-916: Use of Password Hash With Insufficient Computational Effort is well-mitigated.
Recommendation: Consider making Argon2 the default hasher in future versions, as it provides better resistance to GPU-based attacks. The current PBKDF2 default is still considered secure.
info Database backend SQL construction uses parameterized queries consistently ▶
django/db/models/sql/compiler.py
Django's ORM and database backends (django/db/backends/) consistently use parameterized queries for SQL construction, preventing SQL injection. The SQL compiler (django/db/models/sql/compiler.py) and query construction (django/db/models/sql/query.py) properly separate SQL from parameters. CWE-89: SQL Injection is well-mitigated at the framework level.
Recommendation: No action needed. Django's ORM provides excellent SQL injection protection. The raw() and extra() methods that allow raw SQL are clearly documented as requiring developer caution.
info CSRF protection implementation is comprehensive with double-submit cookie pattern ▶
django/middleware/csrf.py
django/middleware/csrf.py implements robust CSRF protection using a double-submit cookie pattern with HMAC-based token validation. The implementation includes origin checking, referer validation for HTTPS, and proper token rotation. CWE-352: Cross-Site Request Forgery is well-mitigated.
Recommendation: No action needed. The CSRF implementation is mature and well-tested. The framework properly handles edge cases including AJAX requests and subdomains.
estimated effort: ~10h

## Quality (12)

medium Extremely large admin options module likely has high cyclomatic complexity ~40.0h ▶
django/contrib/admin/options.py
django/contrib/admin/options.py is a well-known monolithic file in Django that contains ModelAdmin, InlineModelAdmin, and related classes. This single file historically exceeds 2000 lines with numerous methods having high cyclomatic complexity, particularly changeform_view, changelist_view, and _changeform_view. The file handles form generation, validation, permissions, inlines, and response handling all in one place.
Recommendation: While this is a mature framework file, consider splitting into separate concerns: form handling, permission checking, view dispatching, and inline management. This would improve testability and maintainability.
medium SQL query compilation module is a known complexity hotspot ~40.0h ▶
django/db/models/sql/compiler.py
django/db/models/sql/compiler.py and django/db/models/sql/query.py are core ORM files that handle SQL generation. These files are historically very large (compiler.py ~1800+ lines, query.py ~2500+ lines) with deeply nested logic for JOIN resolution, subquery handling, and multi-database SQL generation. Methods like get_columns, as_sql, and resolve_ref have high cyclomatic complexity.
Recommendation: Extract SQL generation strategies per clause type (SELECT, WHERE, JOIN, GROUP BY) into dedicated helper classes. This is a long-term refactor that would improve the ability to add new SQL features.
medium Query class in sql/query.py is a god class ~40.0h ▶
django/db/models/sql/query.py
django/db/models/sql/query.py contains the Query class which is responsible for building, combining, and resolving SQL queries. It handles annotations, aggregations, subqueries, joins, filtering, ordering, and more — all in a single class. This makes it extremely difficult to understand, test individual behaviors, and extend.
Recommendation: Consider decomposing the Query class using composition — extract JoinManager, AnnotationManager, FilterResolver, etc. as collaborating objects rather than having all logic in one class.
medium Migration autodetector has very high complexity ~24.0h ▶
django/db/migrations/autodetector.py
django/db/migrations/autodetector.py is responsible for detecting model changes and generating migration operations. This file is historically 1500+ lines with complex diffing logic across models, fields, indexes, constraints, and relationships. The generate_* methods have deep nesting and many conditional branches.
Recommendation: Extract detection logic per operation type (field changes, model changes, index changes) into separate detector classes that implement a common interface. The main autodetector would orchestrate these detectors.
medium Model base.py is a known large and complex module ~24.0h ▶
django/db/models/base.py
django/db/models/base.py contains the Model metaclass and base Model class. This is historically one of the largest files in Django (~2000+ lines) handling model initialization, saving, deletion, validation, serialization, and metaclass configuration. The save() method alone has many branches for force_insert, force_update, update_fields, and signal dispatching.
Recommendation: Extract the metaclass logic, validation logic, and serialization helpers into separate modules. The save/delete lifecycle could use a pipeline pattern to reduce branching complexity.
low Form fields module contains many similar field classes with potential duplication ~8.0h ▶
django/forms/fields.py
django/forms/fields.py contains all built-in form field types. Many fields share similar validation patterns (clean, validate, run_validators) with slight variations. While inheritance is used, there's structural repetition in how fields handle widget assignment, error messages, and value coercion.
Recommendation: Consider using more mixin-based composition for shared behaviors like range validation, format parsing, and widget selection to reduce code duplication across field types.
low Admin sites module handles too many responsibilities ~16.0h ▶
django/contrib/admin/sites.py
django/contrib/admin/sites.py contains the AdminSite class which handles URL routing, view dispatching, app indexing, authentication, permission checking, and template context generation. This is a large class with many methods that could benefit from separation of concerns.
Recommendation: Extract URL configuration, authentication handling, and app registry logic into separate collaborating classes to improve testability and reduce the cognitive load of the AdminSite class.
low Deprecated field modules still present in codebase ~1.0h ▶
django/contrib/postgres/fields/jsonb.py
django/contrib/postgres/fields/jsonb.py and django/contrib/postgres/fields/citext.py appear to be deprecated compatibility modules (JSONField moved to django.db.models in Django 3.1, CIText fields were deprecated). These files likely contain only import redirects or deprecation warnings but add maintenance burden.
Recommendation: Follow the deprecation timeline and remove these modules when the deprecation period ends. Ensure deprecation warnings are properly emitted in the meantime.
low Database backend schema modules have structural duplication across backends ~16.0h ▶
django/db/backends/
The database backend implementations (django/db/backends/mysql/, postgresql/, sqlite3/, oracle/) each contain similar files (base.py, features.py, introspection.py, operations.py, schema.py, creation.py). While they inherit from base classes in django/db/backends/base/, there is likely significant structural duplication in how each backend overrides similar methods with backend-specific SQL.
Recommendation: Consider using more template method patterns or strategy objects for common SQL generation patterns that differ only in syntax across backends, reducing the need for full method overrides.
low Expressions module handles too many expression types in one file ~8.0h ▶
django/db/models/expressions.py
django/db/models/expressions.py contains all expression types (F, Value, Func, Case, When, Subquery, Exists, Window, etc.) in a single file. While each is a separate class, the file is historically very large (2000+ lines) and adding new expression types requires modifying this already-complex file.
Recommendation: Consider splitting into submodules (e.g., expressions/base.py, expressions/aggregates.py, expressions/window.py, expressions/subquery.py) while maintaining backward-compatible imports in expressions/__init__.py.
info Comprehensive test coverage structure is well-organized ▶
tests/
The test suite is exceptionally well-organized with dedicated test directories for each major component (admin_views, auth_tests, migrations, forms_tests, etc.). Each test module has focused test files (e.g., admin_views has test_actions.py, test_autocomplete_view.py, test_breadcrumbs.py, etc.). The presence of tests for edge cases like composite_pk, xor_lookups, and async operations shows thorough coverage.
Recommendation: Continue the current pattern of creating focused test modules per feature area. The test organization is exemplary for a framework of this size.
info Good use of CI/CD with comprehensive workflow coverage ▶
.github/workflows/
The .github/workflows/ directory shows excellent CI coverage: tests.yml, coverage_tests.yml, linters.yml, selenium.yml, postgis.yml, python_matrix.yml, check-migrations.yml, benchmark.yml, and schedule_tests.yml. This indicates strong quality gates including multi-database testing, browser testing, migration validation, and performance benchmarking.
Recommendation: The CI/CD setup is comprehensive and well-structured. No changes needed.
estimated effort: ~217h

## Documentation (12)

medium New django/tasks module lacks inline docstrings in source ~4.0h ▶
django/tasks/backends/base.py
The django/tasks/ module appears to be a newer addition (task queue backend system) with files like base.py, backends/base.py, backends/dummy.py, backends/immediate.py, checks.py, exceptions.py, and signals.py. While external documentation exists at docs/ref/tasks.txt and docs/topics/tasks.txt, newer modules in Django sometimes have less mature inline documentation compared to established modules. Given this is a new public API, thorough docstrings are especially important for IDE users and contributors.
Recommendation: Ensure all public classes and methods in the django/tasks/ module have comprehensive docstrings explaining parameters, return values, and usage patterns, consistent with Django's documentation standards for other backend systems like cache and email.
low README.rst is minimal for a project of this scale ~1.0h ▶
README.rst
The README.rst exists and identifies the project, but for a framework of Django's scale, the README serves primarily as a pointer to the full documentation rather than containing substantial getting-started content. This is appropriate for Django's documentation model but could benefit from a quick-start code snippet for newcomers who land on the GitHub page.
Recommendation: Consider adding a minimal 'Quick Start' code example (3-5 lines showing project creation and runserver) directly in the README for developers who discover the project on GitHub, similar to what Flask and FastAPI do.
low New CSP middleware module documentation ~1.0h ▶
django/middleware/csp.py
The django/middleware/csp.py and django/utils/csp.py modules are relatively new additions, with corresponding documentation at docs/ref/csp.txt and docs/howto/csp.txt. The decorator module django/views/decorators/csp.py is also present. This appears to be a well-documented new feature with both reference and how-to documentation.
Recommendation: Verify that inline docstrings in the CSP-related modules are comprehensive, as this is a security-critical feature where clear documentation prevents misconfiguration.
low INSTALL file may be outdated compared to docs ~0.5h ▶
INSTALL
There is a top-level INSTALL file alongside the comprehensive docs/intro/install.txt and docs/topics/install.txt documentation. The INSTALL file at the root level may contain outdated or redundant information compared to the canonical installation documentation in the docs/ directory.
Recommendation: Review the INSTALL file to ensure it either contains current information or simply redirects to the canonical documentation at https://docs.djangoproject.com/en/stable/intro/install/.
low Composite primary key feature documentation ~2.0h ▶
docs/topics/composite-primary-key.txt
The django/db/models/fields/composite.py module and docs/topics/composite-primary-key.txt indicate a newer composite primary key feature. There is also a comprehensive test suite under tests/composite_pk/. For a feature of this complexity that changes fundamental ORM behavior, documentation completeness is critical.
Recommendation: Ensure the composite primary key documentation includes migration guides, known limitations, and interaction with existing features like admin, serializers, and generic views. Verify inline docstrings in composite.py and tuple_lookups.py are thorough.
low Generated fields documentation ~1.0h ▶
django/db/models/fields/generated.py
The django/db/models/fields/generated.py module represents database-level generated/computed columns, a relatively advanced feature. This should have clear documentation about database backend support differences and limitations.
Recommendation: Verify that generated field documentation clearly states which database backends support this feature and any backend-specific limitations, similar to how Django documents other backend-dependent features.
low In-memory file storage documentation ~0.5h ▶
django/core/files/storage/memory.py
The django/core/files/storage/memory.py module provides an in-memory storage backend, which is useful for testing. This is a newer addition to the storage system alongside the refactored storage module (base.py, filesystem.py, handler.py, mixins.py).
Recommendation: Ensure the in-memory storage backend is documented in docs/ref/files/storage.txt with usage examples, particularly for testing scenarios where it's most useful.
info Comprehensive external documentation suite ▶
docs/index.txt
Django has an exceptionally thorough documentation suite under the docs/ directory, covering tutorials (docs/intro/), topic guides (docs/topics/), reference documentation (docs/ref/), how-to guides (docs/howto/), and internals (docs/internals/). This is one of the most well-documented open source projects in existence, with dedicated Sphinx-based documentation, a custom theme, and ReadTheDocs integration (.readthedocs.yml).
Recommendation: No action needed. The documentation structure follows the Diátaxis framework (tutorials, how-to, reference, explanation) which is best practice.
info Extensive release notes and changelog coverage ▶
docs/releases/index.txt
Django maintains detailed release notes for every version from 0.95 through 6.1, including security releases. The docs/releases/ directory contains hundreds of release note files covering new features, deprecations, backwards-incompatible changes, and bugfixes. This is exemplary changelog practice.
Recommendation: No action needed. This is best-in-class release documentation.
info CONTRIBUTING.rst and contributor documentation are thorough ▶
CONTRIBUTING.rst
The project has a CONTRIBUTING.rst file, a CODE_OF_CONDUCT.md, SECURITY.md, pull request template, and extensive contributor documentation under docs/internals/contributing/ covering coding style, submitting patches, writing documentation, triaging tickets, and working with git.
Recommendation: No action needed. Contributor documentation is comprehensive.
info Security documentation is well-maintained ▶
.github/SECURITY.md
Django has a dedicated SECURITY.md in .github/, a security policy page in docs/internals/security.txt, a security release history in docs/releases/security.txt, and comprehensive security topic documentation in docs/topics/security.txt. The deployment checklist (docs/howto/deployment/checklist.txt) also covers security considerations.
Recommendation: No action needed. Security documentation practices are exemplary.
info Deprecation documentation is systematic and thorough ▶
docs/internals/deprecation.txt
Django maintains a dedicated deprecation timeline document at docs/internals/deprecation.txt and has a django/utils/deprecation.py module with systematic deprecation handling. The release notes consistently document deprecations with timelines. This is a model for how large projects should handle API evolution.
Recommendation: No action needed. Deprecation documentation practices are exemplary.
estimated effort: ~10h

## Maintainability (8)

medium No lock file present for Python dependencies ~4.0h ▶
pyproject.toml
The Django project uses pyproject.toml for build configuration but does not include a lock file (e.g., pip-compile output, poetry.lock, or pdm.lock). While this is somewhat expected for a library (as opposed to an application), the lack of pinned transitive dependencies for development and testing means builds are not fully reproducible. The test requirements in tests/requirements/ use unpinned or loosely pinned dependencies.
Recommendation: For a framework library, this is acceptable for published packages, but consider adding a constraints file or lock file for CI/development reproducibility. Tools like pip-tools can generate a constraints.txt from the test requirements.
medium Vendored JavaScript libraries may be outdated ~2.0h ▶
django/contrib/admin/static/admin/js/vendor/jquery/jquery.js
Django vendors several JavaScript libraries in django/contrib/admin/static/admin/js/vendor/, including jQuery, Select2, and XRegExp. These vendored copies are not managed by a package manager and their versions are not easily auditable. Vendored libraries can fall behind on security patches. The jQuery and Select2 versions bundled need to be verified against known CVEs for those libraries.
Recommendation: Document the exact versions of vendored JS libraries (jQuery, Select2, XRegExp) in a VERSIONS file or in package.json. Regularly audit these against known CVEs. The package.json at the root should track these versions for Gruntfile.js-based updates.
low Test requirements are loosely pinned across database backends ~2.0h ▶
tests/requirements/py3.txt
The test requirement files in tests/requirements/ (mysql.txt, oracle.txt, postgres.txt, py3.txt) likely contain loosely pinned or unpinned dependencies. This can lead to test failures when upstream packages release breaking changes, and makes it harder to reproduce CI failures locally.
Recommendation: Pin test dependencies to specific versions or version ranges with upper bounds. Use a CI job that periodically tests with latest versions to catch incompatibilities early.
low No automated dependency update tooling configured ~1.0h ▶
.github/workflows/tests.yml
The GitHub workflows directory (.github/workflows/) does not contain a Dependabot or Renovate configuration for automated dependency updates. While Django is a framework with minimal runtime dependencies, the vendored JS libraries, test dependencies, CI action versions, and docs requirements (docs/requirements.txt) would benefit from automated update PRs.
Recommendation: Add a .github/dependabot.yml configuration to monitor npm dependencies (package.json), pip dependencies (docs/requirements.txt, tests/requirements/), and GitHub Actions versions for security updates.
low Docs requirements may contain outdated Sphinx and related packages ~0.5h ▶
docs/requirements.txt
The docs/requirements.txt file specifies dependencies for building documentation. These documentation build dependencies (Sphinx, sphinx themes, etc.) can accumulate security issues or compatibility problems if not regularly updated.
Recommendation: Review and update docs/requirements.txt periodically. Consider pinning with upper bounds and using Dependabot to track updates.
low npm package.json likely used only for admin JS tooling with potential stale dependencies ~2.0h ▶
package.json
The root package.json and Gruntfile.js are used for JavaScript asset management (linting, minification) for the admin interface. npm dependencies in package.json may be outdated, and there is no package-lock.json visible in the file listing, which means npm installs are not reproducible.
Recommendation: Ensure package-lock.json is committed to the repository for reproducible npm installs. Run `npm audit` regularly to check for vulnerabilities in JS tooling dependencies. Consider migrating from Grunt to a more modern build tool if applicable.
low Deprecated contrib modules (postgres fields/jsonb) still present ~4.0h ▶
django/contrib/postgres/fields/jsonb.py
The file django/contrib/postgres/fields/jsonb.py exists, which was deprecated in Django 3.1 in favor of django.db.models.JSONField. Similarly, django/contrib/postgres/fields/citext.py contains deprecated CIText fields. While these are maintained for backward compatibility, they represent technical debt in the dependency surface.
Recommendation: Follow Django's deprecation timeline to remove these deprecated modules. Ensure deprecation warnings are properly emitted to guide users toward the replacement APIs.
info Pre-commit hooks configuration may pin outdated tool versions ~0.5h ▶
.pre-commit-config.yaml
The .pre-commit-config.yaml file configures pre-commit hooks for code quality. The hook versions specified in this file can become outdated over time, potentially missing new linting rules or security checks.
Recommendation: Run `pre-commit autoupdate` periodically or configure a CI job to do so. This ensures linting tools stay current.
estimated effort: ~16h

## Performance (10)

medium QuerySet iteration can trigger deferred field loading N+1 pattern ~40.0h ▶
django/db/models/query.py
Django's deferred field loading (via .only() and .defer()) can silently introduce N+1 query patterns when deferred fields are accessed in loops. The QuerySet implementation in django/db/models/query.py evaluates deferred fields lazily, issuing a separate query per object per deferred field access. This is by design but is a common performance trap for users of the framework. The framework provides no built-in warning mechanism for this pattern.
Recommendation: This is a framework design consideration rather than a bug. Django could add optional query count warnings in DEBUG mode (similar to django-debug-toolbar) or add a queryset method that raises on deferred field access to help developers catch N+1 patterns during development.
medium Template rendering lacks compiled template caching by default ~4.0h ▶
django/template/engine.py
Django's template engine (django/template/base.py, django/template/engine.py) parses templates on each request unless the cached template loader is explicitly configured. The default filesystem and app_directories loaders re-read and parse template files on every render in development. While the cached loader exists (django/template/loaders/cached.py), it is not the default configuration, meaning many production deployments may miss this optimization.
Recommendation: Django already provides the cached loader. Documentation could more prominently recommend it for production. Consider making cached loading the default when DEBUG=False, or adding a system check warning when cached loader is not used in production.
medium Session middleware performs database I/O on every request when using db backend ~2.0h ▶
django/contrib/sessions/middleware.py
The database session backend (django/contrib/sessions/backends/db.py) and the default session middleware (django/contrib/sessions/middleware.py) load session data from the database on every request that accesses the session, and saves it back if modified. For high-traffic sites, this creates significant database load. The cached_db backend (django/contrib/sessions/backends/cached_db.py) mitigates this but is not the default.
Recommendation: Consider using the cached_db or cache session backend for production deployments. The framework could add a performance-related system check suggesting cache-backed sessions when database sessions are configured with high-traffic indicators.
medium Database connection creation lacks connection pooling out of the box ~2.0h ▶
django/db/backends/base/base.py
Django's database backend (django/db/backends/base/base.py) creates one connection per thread/request and does not include built-in connection pooling. While CONN_MAX_AGE setting allows persistent connections, true connection pooling (like PgBouncer or SQLAlchemy's pool) is not provided. Each worker process maintains its own connection, which can lead to connection exhaustion under high concurrency, especially with async views.
Recommendation: For PostgreSQL, Django 5.1+ supports psycopg3 which has built-in connection pooling. For other backends, use external connection poolers (PgBouncer, ProxySQL). The pool_options parameter in the postgresql backend (django/db/backends/postgresql/base.py) provides this for psycopg3.
medium GenericForeignKey prefetching requires extra queries per content type ~8.0h ▶
django/contrib/contenttypes/fields.py
The contenttypes framework's GenericRelatedObjectManager (django/contrib/contenttypes/fields.py) and prefetch mechanism (django/contrib/contenttypes/prefetch.py) must issue separate queries for each distinct content type when prefetching generic relations. For models with generic foreign keys pointing to many different content types, this can result in a large number of queries even with prefetch_related().
Recommendation: This is an inherent limitation of the generic foreign key pattern. Consider using concrete foreign keys where possible. When generic FKs are necessary, limit the number of distinct content types and use prefetch_related() with custom Prefetch objects to control query behavior.
low SQL compiler generates queries without automatic query plan hints ~16.0h ▶
django/db/models/sql/compiler.py
The SQL compiler (django/db/models/sql/compiler.py) generates SQL without any mechanism for query plan hints or optimizer directives. For complex queries with multiple joins, the database optimizer may choose suboptimal plans. While this is standard for ORMs, Django provides no escape hatch for adding database-specific optimizer hints without resorting to raw SQL.
Recommendation: This is a known limitation. Third-party packages like django-mysql provide query hints. Consider adding a generic hint() method to QuerySet that passes through database-specific optimizer hints.
low Middleware chain processes all middleware for every request including static files ~2.0h ▶
django/core/handlers/base.py
Django's middleware architecture (django/core/handlers/base.py) processes the full middleware chain for every request. When serving static files through Django (django/contrib/staticfiles/handlers.py) in development or misconfigured production, all middleware (security, session, auth, CSRF, etc.) runs unnecessarily. The staticfiles handler does short-circuit in some cases, but the ASGI/WSGI handlers still set up the full chain.
Recommendation: This is by design and well-documented. For production, static files should be served by a reverse proxy (nginx, CDN). The framework already recommends this. No code change needed, but a system check could warn when staticfiles is in INSTALLED_APPS with DEBUG=False and no STATIC_URL pointing to external server.
low Migration autodetector performs full model state comparison on every makemigrations ~0.5h ▶
django/db/migrations/autodetector.py
The migration autodetector (django/db/migrations/autodetector.py) loads and compares the full project state including all models, fields, and relationships every time makemigrations is run. For large projects with hundreds of models and many migration files, this can be slow. The migration loader (django/db/migrations/loader.py) also imports all migration modules to build the dependency graph.
Recommendation: This is a development-time concern, not runtime. For large projects, use squashmigrations periodically to reduce the number of migration files. The optimizemigration command can also help reduce migration complexity.
low Cache framework's default local memory backend not suitable for multi-process deployments ~1.0h ▶
django/core/cache/backends/locmem.py
The default cache backend (django/core/cache/backends/locmem.py) uses process-local memory, meaning each worker process has its own cache that is not shared. In typical multi-process deployments (gunicorn with multiple workers), this leads to cache duplication and inconsistency. The framework defaults to this backend which provides no cross-process caching benefit.
Recommendation: Use Redis (django/core/cache/backends/redis.py) or Memcached (django/core/cache/backends/memcached.py) for production deployments. Django's built-in Redis backend was added in 4.0 and is the recommended choice. A system check could warn about locmem usage when DEBUG=False.
low URL resolver compiles regex patterns on first access without pre-compilation ~2.0h ▶
django/urls/resolvers.py
The URL resolver (django/urls/resolvers.py) compiles URL patterns lazily on first request. For applications with many URL patterns (especially those using regex via re_path), the first request incurs compilation overhead. While subsequent requests benefit from caching, cold starts in serverless or auto-scaling environments repeatedly pay this cost.
Recommendation: Use path() instead of re_path() where possible, as path converters are simpler to resolve. For serverless deployments, consider warming up the URL resolver during application startup. Django's lazy initialization is intentional to avoid import-time side effects.
estimated effort: ~78h
Technical Debt Summary
446.5 estimated hours to remediate
cost to remediate: ~$66,975 at $150/hr avg dev rate
By Dimension
Quality 217.0h
Architecture 116.0h
Performance 77.5h
Maintainability 16.0h
Security 10.0h
Documentation 10.0h
By Severity
medium 294.0h
low 148.5h
info 4.0h
Debt Distribution
medi
low
Due Diligence Compliance Mapping
OWASP Top 10 (2021) Coverage
3 of 10 categories checked
A01:2021 Broken Access Control
A02:2021 Cryptographic Failures
A03:2021 Injection
A04:2021 Insecure Design
A05:2021 Security Misconfiguration
A06:2021 Vulnerable and Outdated Components
A07:2021 Identification and Auth Failures
A08:2021 Software and Data Integrity Failures
A09:2021 Security Logging and Monitoring Failures
A10:2021 Server-Side Request Forgery
CWE References Found
CWE-22 CWE-79 CWE-89 CWE-310 CWE-352 CWE-502 CWE-552 CWE-798 CWE-916