JavaScript app built with JetBrains AI? Let’s review it.
Expert code review for JavaScript apps built with JetBrains AI. We find JetBrains AI-specific bugs, fix JavaScript security issues, and optimize performance. From $19.
JetBrains AI issues we find in JavaScript projects
Problems specific to JetBrains AI's code generation patterns when building JavaScript apps.
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.
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.
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.
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.
JavaScript issues we check for
Common JavaScript problems that affect production readiness.
Prototype pollution
AI-generated code merges user-supplied objects into prototypes via Object.assign or spread operators without sanitization, enabling property injection attacks.
Loose equality comparisons
Using == instead of === leads to type coercion bugs where '0' == false, null == undefined, and other non-obvious truthy/falsy comparisons cause silent logic errors.
Unhandled promise rejections
Async functions without try/catch or .catch() handlers cause unhandled rejection warnings and silent failures in production.
Global variable leaks
Missing 'const' or 'let' declarations create implicit globals that pollute the global scope and cause unpredictable behavior across modules.
Start with a self-serve audit
Get a professional review of your JetBrains AI JavaScript project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code 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.
Frequently asked questions
Can you review JavaScript code generated by JetBrains AI?
Yes. We regularly audit JavaScript projects built with JetBrains AI and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What JavaScript issues does JetBrains AI typically create?
Common issues in JetBrains AI-generated JavaScript 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 JavaScript-specific concerns like prototype pollution and loose equality comparisons.
How do I make my JetBrains AI JavaScript project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For JetBrains AI-built JavaScript projects, the typical path is: fix security gaps, address JavaScript-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review JetBrains AI-generated JavaScript 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.
Related resources
Need help with your JetBrains AI JavaScript project?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.