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 ($19) checks all of these and more.
Our Python services
Security Review
Deep security analysis of your application — from API endpoints to database access.
Deploy & Ship
From local development to production deployment.
Performance
Identify and fix performance bottlenecks — slow page loads, laggy interactions, and expensive operations.
Infrastructure
Databases, APIs, auth systems, email, file storage — the backend services that power your application.
AI tools that generate Python code
Start with a self-serve audit
Get a professional review of your Python project at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern 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.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing 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.