Built a e-commerce store with JetBrains AI?
We'll make it production-ready.
E-commerce apps handle money and personal data — there's zero margin for error. AI tools build great-looking product pages and shopping carts, but the critical details — inventory management, payment security, order processing, and shipping calculations — need professional attention before you take real orders.
E-Commerce Store challenges in JetBrains AI apps
Building a e-commerce store with JetBrains AI is a great start — but these challenges need attention before launch.
Payment security and PCI compliance
You're handling credit card transactions. While Stripe and similar services handle PCI compliance on their end, your integration must not expose card data, must verify webhook signatures, and must handle failed payments gracefully.
Inventory management
What happens when two customers buy the last item simultaneously? AI tools don't implement inventory locking or race condition prevention. Overselling damages trust and creates costly fulfillment problems.
Order processing pipeline
Orders move through states: pending, confirmed, processing, shipped, delivered. Each transition triggers actions (emails, inventory updates, accounting entries). AI tools build the checkout but not the order lifecycle.
Shipping and tax calculation
Real shipping costs vary by weight, destination, and carrier. Sales tax varies by jurisdiction. These calculations need to be accurate and up-to-date — getting them wrong is either illegal (tax) or margin-killing (shipping).
Performance under load
Product launches and sales events spike traffic. Your site needs to handle 10x normal load without crashing. Image optimization, caching, and CDN configuration are essential for a fast shopping experience.
What we check in your JetBrains AI e-commerce store
Common JetBrains AI issues we fix
Beyond e-commerce store-specific issues, these are JetBrains AI patterns we commonly fix.
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.
Start with a self-serve audit
Get a professional review of your JetBrains AI e-commerce store 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 I build a e-commerce store with JetBrains AI?
JetBrains AI is a great starting point for a e-commerce store. It handles the initial scaffolding well, but e-commerce stores have specific requirements — payment security and pci compliance and inventory management — that need professional attention before launch.
What issues does JetBrains AI leave in e-commerce stores?
Common issues 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. For a e-commerce store specifically, these issues are compounded by the need for payment security and pci compliance.
How do I make my JetBrains AI e-commerce store production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most JetBrains AI-built e-commerce stores, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a JetBrains AI-built e-commerce store?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger e-commerce store projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your JetBrains AI e-commerce store production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.