Expert Java Code Review for AI-Built Apps
Java powers enterprise backends, Android apps, and large-scale systems. AI tools like Copilot, Amazon Q, and Cursor generate Java code that often lacks proper exception handling, thread safety, and enterprise security patterns.
Common Java issues we find
Real problems from Java codebases we've reviewed.
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.
Swallowed exceptions
Empty catch blocks or catch-and-log-only patterns that hide errors, making bugs nearly impossible to diagnose in production.
Missing dependency injection
Direct instantiation with 'new' instead of Spring-managed beans, bypassing AOP, transaction management, and testability.
Java production checklist
Key checks before deploying your Java app.
All database queries parameterized (no string concatenation)
Bean Validation on all request DTOs
Try-with-resources for all closeable resources
Proper exception handling (no swallowed exceptions)
Thread-safe shared state management
JVM memory settings configured for production
Health check and readiness endpoints exposed
Structured logging with SLF4J/Logback
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Our Java services
Security Review
Deep security analysis of your application — from API endpoints to database access.
Deploy & Ship
From local development to production deployment.
Refactor Code
Clean up messy, duplicated, and hard-to-maintain code without breaking what already works.
Performance
Identify and fix performance bottlenecks — slow page loads, laggy interactions, and expensive operations.
AI tools that generate Java code
Start with a self-serve audit
Get a professional review of your Java project at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern 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.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Is AI-generated Java code production-ready?
Rarely. AI tools generate functional Java but miss enterprise patterns like proper exception handling, thread safety, connection management, and security validations that production systems require.
Can you review my Spring Boot application?
Yes. We review controller security, service layer logic, repository patterns, configuration, and deployment setup — covering the full Spring ecosystem.
How do you optimize Java application performance?
We profile JVM memory usage, optimize database queries and connection pools, fix thread contention, and configure garbage collection for your workload.
Related resources
Need help with your Java project?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.