Infrastructure for your JetBrains AI-built Python app

Expert infrastructure for Python apps built with JetBrains AI. We audit JetBrains AI-generated Python code for infrastructure issues. From $19.

JetBrains AI issues we find in Python projects

Problems specific to JetBrains AI's code generation patterns when building Python apps.

highCode Quality

Over-engineered enterprise patterns generated for simple startup use cases

JetBrains AI is trained on enterprise Java and Kotlin patterns, so it tends to generate verbose factory patterns, abstract base classes, and interface hierarchies for problems that could be solved with a simple function in a startup context.

highSecurity

Generated Spring Boot code includes unnecessary security exposure in default configurations

Spring Boot applications generated by JetBrains AI may include actuator endpoints, management ports, or H2 console access enabled in configurations that should be disabled or secured before production deployment.

mediumCode Quality

Verbose boilerplate code increases bundle size and maintenance overhead

Java code generation in particular produces verbose getter/setter patterns, checked exception hierarchies, and XML configuration that modern Kotlin or Lombok-based approaches would handle with a fraction of the code.

Python infrastructure issues we check for

Infrastructure-specific Python problems that need attention before production.

performance

Slow database queries

ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.

performance

Synchronous blocking in async frameworks

Calling synchronous operations inside async FastAPI endpoints, blocking the entire event loop.

deployment

Dependency conflicts

Conflicting package versions, missing requirements.txt pinning, and reproducibility issues across environments.

What our infrastructure covers

Everything included when we infrastructure your JetBrains AI Python project.

Set up production database with proper schema and migrations for your Python app
Configure authentication system and session management for JetBrains AI-built Python
Implement API design with validation, error handling, and rate limiting
Set up file storage, email delivery, and third-party integrations for Python

Start with a self-serve audit

Get a professional infrastructure of your JetBrains AI Python project at a fixed price.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

How it works

Three steps to get your JetBrains AI Python app production-ready.

1

Tell us about your app

Share your project details and what you need help with.

2

Expert + AI audit

A human expert assisted by AI reviews your code within 24 hours.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

Can you infrastructure my JetBrains AI-built Python app?

Yes. We regularly handle infrastructure for Python projects built with JetBrains AI. We understand JetBrains AI's code patterns and the specific Python issues they introduce. Our review covers the full stack from frontend to backend.

What Python infrastructure issues does JetBrains AI typically create?

Common infrastructure issues in JetBrains AI-generated Python code include: over-engineered enterprise patterns generated for simple startup use cases, generated spring boot code includes unnecessary security exposure in default configurations, verbose boilerplate code increases bundle size and maintenance overhead. On the Python side, we often find: slow database queries, synchronous blocking in async frameworks, dependency conflicts.

How much does infrastructure cost for a JetBrains AI Python project?

Start with our $19 automated audit to get a prioritized list of issues. For hands-on infrastructure work on JetBrains AI-built Python projects, we provide a fixed quote after reviewing the audit results. No surprises.

Get infrastructure for your JetBrains AI Python app

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App