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

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

JetBrains AI issues we find in TypeScript projects

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

TypeScript issues we check for

Common TypeScript problems that affect production readiness.

bugs

Excessive use of 'any' type

AI tools use 'any' to bypass type errors instead of defining proper types, removing all the safety benefits TypeScript provides.

bugs

Missing strict mode

tsconfig.json without strict mode enables sloppy type checking that allows null errors and implicit any types.

bugs

Type assertions instead of type guards

Using 'as' casts to force types instead of runtime checks, causing crashes when data doesn't match the asserted type.

bugs

Incorrect generic implementations

Overly complex or incorrect generic types that confuse rather than help, making the code harder to maintain.

Start with a self-serve audit

Get a professional review of your JetBrains AI TypeScript 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 TypeScript code generated by JetBrains AI?

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

What TypeScript issues does JetBrains AI typically create?

Common issues in JetBrains AI-generated TypeScript 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 TypeScript-specific concerns like excessive use of 'any' type and missing strict mode.

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

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

How much does it cost to review JetBrains AI-generated TypeScript 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 TypeScript project?

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

Tell Us About Your App