Spring Boot app built with JetBrains AI? Let’s review it.
Expert code review for Spring Boot apps built with JetBrains AI. We find JetBrains AI-specific bugs, fix Spring Boot security issues, and optimize performance. From $19.
JetBrains AI issues we find in Spring Boot projects
Problems specific to JetBrains AI's code generation patterns when building Spring Boot 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.
Spring Boot issues we check for
Common Spring Boot problems that affect production readiness.
Open actuator endpoints
Spring Boot Actuator endpoints like /actuator/env and /actuator/heapdump exposed without authentication, leaking environment variables, secrets, and heap memory.
Disabled Spring Security defaults
CSRF protection, CORS restrictions, and security headers disabled in SecurityFilterChain to 'make things work' during development and never re-enabled.
N+1 queries in JPA/Hibernate
Lazy-loaded entity relationships fetched inside loops, generating hundreds of individual SQL queries instead of proper JOIN FETCH or EntityGraph queries.
Missing @Transactional boundaries
Service methods that perform multiple database operations without transaction annotations, leaving data inconsistent if any step fails.
Start with a self-serve audit
Get a professional review of your JetBrains AI Spring Boot 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 Spring Boot code generated by JetBrains AI?
Yes. We regularly audit Spring Boot projects built with JetBrains AI and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What Spring Boot issues does JetBrains AI typically create?
Common issues in JetBrains AI-generated Spring Boot 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 Spring Boot-specific concerns like open actuator endpoints and disabled spring security defaults.
How do I make my JetBrains AI Spring Boot project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For JetBrains AI-built Spring Boot projects, the typical path is: fix security gaps, address Spring Boot-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review JetBrains AI-generated Spring Boot 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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