Building a developer tool with Django? Let us review it.
Expert code review for developer tools built with Django. We fix Django-specific security gaps, optimize performance, and handle deployment. From $19.
Common Django issues we find
Real problems from Django codebases we've reviewed.
DEBUG=True in production
The most common Django security issue in AI-generated code. Debug mode exposes full stack traces, database queries, and installed apps to anyone who triggers an error.
Open Django admin panel
The admin panel is accessible at /admin/ without IP restriction, brute-force protection, or two-factor authentication — giving attackers a direct path to your database.
Missing permission classes on views
API views and endpoints without @login_required decorators or permission_classes, allowing unauthenticated users to access and modify data.
N+1 query patterns in ORM usage
AI-generated Django code accesses related objects in loops without select_related or prefetch_related, causing hundreds of database queries per page load.
Developer Tool challenges to solve
Key developer tool concerns that AI-generated code often misses.
Error messages and developer experience
Developers expect error messages that tell them exactly what went wrong, why, and how to fix it. AI-generated tools return generic 'Something went wrong' messages or raw stack traces. Good DX means every error is actionable and every edge case has a helpful response.
API design and consistency
Developer tools live or die by their API surface — whether REST endpoints, CLI arguments, or SDK methods. Naming must be consistent, behavior must be predictable, and breaking changes must be versioned. AI tools generate functional but inconsistent APIs that frustrate developers.
Documentation and examples
Developers won't use your tool if they can't figure it out quickly. You need API reference docs, getting-started guides, code examples in multiple languages, and a changelog. AI tools build the tool but not the documentation ecosystem around it.
Performance and latency
Developer tools are often in the critical path of other developers' workflows — slow API responses, laggy CLIs, or unresponsive dashboards directly waste their time. Every millisecond matters. AI-generated tools have unoptimized database queries and no caching.
What we check
Key areas we review for Django developer tool projects.
API design — consistent naming, predictable behavior, proper status codes
Error handling — actionable error messages for every failure mode
Authentication — API key generation, rotation, scoped permissions
Rate limiting — per-key limits, usage tracking, quota management
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your Django developer tool project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a developer tool built with Django?
Yes. We regularly audit Django developer tool projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in Django developer tools?
Common issues include debug=true in production and open django admin panel on the Django side, combined with developer tool-specific concerns like error messages and developer experience and api design and consistency. We check for all of these and more.
How do I make my Django developer tool production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Django developer tool projects, the typical path is: fix security gaps, address developer tool-specific requirements, optimize Django performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Django developer tool?
Our code audit delivers a full report within 24 hours. For Django developer tool projects, we check security, architecture, performance, and deployment readiness across all Django-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Django by Use Case
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