Python app built with JetBrains AI? Let’s review it.

Expert code review for Python apps built with JetBrains AI. We find JetBrains AI-specific bugs, fix Python security issues, and optimize performance. From $19.

JetBrains AI issues we find in Python projects

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

highJetBrains AI

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.

highJetBrains AI

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.

mediumJetBrains AI

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.

mediumJetBrains AI

Generated unit tests use JUnit 4 patterns in projects that have moved to JUnit 5

JetBrains AI sometimes generates JUnit 4 annotations (@Test from org.junit, @Before, @After) in projects configured for JUnit 5, causing compilation errors and requiring annotation migration.

Python issues we check for

Common Python problems that affect production readiness.

security

Django debug mode in production

DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.

security

Missing CSRF protection

CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.

security

Insecure deserialization

Using pickle or yaml.load with untrusted data, enabling remote code execution.

performance

Slow database queries

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

Start with a self-serve audit

Get a professional review 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.

Frequently asked questions

Can you review Python code generated by JetBrains AI?

Yes. We regularly audit Python projects built with JetBrains AI and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.

What Python issues does JetBrains AI typically create?

Common 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. Combined with Python-specific concerns like django debug mode in production and missing csrf protection.

How do I make my JetBrains AI Python project production-ready?

Start with our code audit ($19) to get a prioritized list of issues. For JetBrains AI-built Python projects, the typical path is: fix security gaps, address Python-specific performance issues, then configure deployment. We provide a fixed quote after the audit.

How much does it cost to review JetBrains AI-generated Python code?

Our code audit starts at $19 and covers security, performance, architecture, and deployment readiness. For fixes, our Fix & Ship plan is $199. Larger projects get a custom fixed quote — no hourly billing or surprises.

Need help with your JetBrains AI Python project?

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

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