Python backend development and security services
Python is the go-to backend language for AI tools building data-heavy applications. Django, FastAPI, and Flask are the most common frameworks - each with distinct security profiles.
Common Python issues we find
Real problems from Python codebases we've reviewed.
Django debug mode in production
DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.
Missing CSRF protection
CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.
Insecure deserialization
Using pickle or yaml.load with untrusted data, enabling remote code execution.
Slow database queries
ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.
Missing type hints
No type annotations makes bugs harder to catch, code harder to understand, and IDE support limited.
Synchronous blocking in async frameworks
Calling synchronous operations inside async FastAPI endpoints, blocking the entire event loop.
Dependency conflicts
Conflicting package versions, missing requirements.txt pinning, and reproducibility issues across environments.
No WSGI/ASGI production server
Running the development server (flask run, uvicorn --reload) in production instead of gunicorn or uvicorn with workers.
Python production checklist
Key checks before deploying your Python app.
DEBUG=False in production
CSRF protection enabled for all state-changing endpoints
No pickle/yaml.load with user-supplied data
Database queries optimized (no N+1, proper indexes)
Requirements pinned with exact versions
Production WSGI/ASGI server configured (gunicorn/uvicorn)
SECRET_KEY loaded from environment, not hardcoded
Proper logging configuration
Virtual environment or containerized dependencies
Input validation on all API endpoints
Not sure if your app passes? Our code audit checks all of these and more.
Our Python services
Security Review
Manual security analysis of your application covering API endpoints, authentication, data access, and infrastructure configuration.
Deploy & Ship
From local development to production deployment.
Performance
Identify and fix performance bottlenecks, from slow page loads and unoptimized queries to missing caching.
Infrastructure
Databases, APIs, auth systems, email, file storage, and the backend services your application needs.
AI tools that generate Python code
Our services
Get a professional review of your Python project.
Security Review
Security Review
Expert engineer works on your project directly. Fixed scope, fixed price, no surprises.
Request a QuoteSecurity Review
Full Pentest
Enterprise-grade engagement tailored to your needs. Dedicated engineer, ongoing support.
Fix Bugs
Bug Fixing
Expert engineer works on your project directly. Fixed scope, fixed price, no surprises.
Request a QuoteFix Bugs
Ongoing Support
Enterprise-grade engagement tailored to your needs. Dedicated engineer, ongoing support.
Refactor Code
Refactoring
Expert engineer works on your project directly. Fixed scope, fixed price, no surprises.
Request a QuoteRefactor Code
Full Rewrite
Enterprise-grade engagement tailored to your needs. Dedicated engineer, ongoing support.
All projects start with a free consultation. We scope your project and provide a fixed quote before any work begins.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear quote
We respond within 24 hours with scope, timeline, and a fixed price.
Launch with confidence
We get to work, deliver results, and stick around to help.
Frequently asked questions
Should I use Django or FastAPI?
Django for full-featured web apps with admin, ORM, and auth built in. FastAPI for modern APIs that need high performance and async support. We work with both.
Is AI-generated Python code secure?
Rarely. Common issues include debug mode in production, missing CSRF protection, insecure data handling, and exposed secrets. A security review is critical.
Can you deploy my Python backend?
Yes. We deploy to AWS, Railway, Render, or Docker-based platforms with proper production server configuration, environment management, and monitoring.
How do I optimize my Python API?
We profile your endpoints, optimize ORM queries, add caching with Redis, fix async/sync mixing, and configure connection pooling.
Related resources
Guides
Need help with your Python project?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.