Java app built with JetBrains AI? Let’s review it.
Expert code review for Java apps built with JetBrains AI. We find JetBrains AI-specific bugs, fix Java security issues, and optimize performance. From $19.
JetBrains AI issues we find in Java projects
Problems specific to JetBrains AI's code generation patterns when building Java 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.
Java issues we check for
Common Java problems that affect production readiness.
SQL injection via string concatenation
Building SQL queries with string concatenation instead of PreparedStatement or parameterized JPA queries, allowing attackers to manipulate database operations.
Missing input validation
Controller endpoints accept request bodies without Bean Validation annotations (@Valid, @NotNull, @Size), allowing malformed data into business logic.
Thread safety issues
Mutable shared state accessed from multiple threads without synchronization, volatile, or concurrent collections — causing race conditions in production.
Resource leaks
Database connections, streams, and file handles opened without try-with-resources, leading to connection pool exhaustion and OutOfMemoryErrors.
Start with a self-serve audit
Get a professional review of your JetBrains AI Java 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 Java code generated by JetBrains AI?
Yes. We regularly audit Java projects built with JetBrains AI and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What Java issues does JetBrains AI typically create?
Common issues in JetBrains AI-generated Java 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 Java-specific concerns like sql injection via string concatenation and missing input validation.
How do I make my JetBrains AI Java project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For JetBrains AI-built Java projects, the typical path is: fix security gaps, address Java-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review JetBrains AI-generated Java 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
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