Infrastructure for your JetBrains AI app
AI tools often generate a frontend with a placeholder backend. You need a real database, proper authentication, email delivery, file storage, and API integrations. We set up production-grade infrastructure that's reliable, secure, and scalable. We specialize in JetBrains AI projects and know exactly what to look for.
Infrastructure issues we find in JetBrains AI apps
These are real infrastructure problems we see in JetBrains AI projects during our audits.
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.
Generated Kubernetes and Docker deployment files target development not production
When JetBrains AI generates deployment configurations, they often omit resource limits, readiness/liveness probes, and security contexts that are required for production Kubernetes deployments.
What our infrastructure covers
Everything included when we infrastructure your JetBrains AI project.
Database setup
Choosing the right database (PostgreSQL, MongoDB, etc.), schema design, migrations, and connection management.
Authentication system
Email/password, OAuth (Google, GitHub), magic links, session management, and role-based access control.
API design
REST or GraphQL API structure, input validation, error handling, and documentation.
Email integration
Transactional emails (signup, password reset, notifications) with Resend, SendGrid, or Postmark.
File storage
Image uploads, document storage, CDN delivery with S3, Cloudflare R2, or Supabase Storage.
Third-party integrations
Stripe payments, webhook handling, external API connections, and service orchestration.
Start with a self-serve audit
Get a professional infrastructure of your JetBrains AI 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 infrastructure a JetBrains AI app?
Yes. We work with JetBrains AI projects regularly and understand the specific patterns it produces. Our infrastructure service is tailored to address the issues common in JetBrains AI-generated code.
What infrastructure issues are specific to JetBrains AI?
Common infrastructure issues in JetBrains AI apps include: generated spring boot code includes unnecessary security exposure in default configurations, generated kubernetes and docker deployment files target development not production. We identify and fix all of these.
How long does a infrastructure take for a JetBrains AI project?
Typically 2-5 business days depending on codebase size. Start with our code audit ($19) to get a clear picture of what needs attention, then we'll scope the infrastructure work with a fixed quote.
Do I need a code audit before infrastructure for my JetBrains AI app?
We recommend it. The audit ($19) gives us a complete picture of your JetBrains AI project's issues so we can scope the infrastructure work accurately. You get a prioritized report and a fixed quote with no surprises.
Get infrastructure for your JetBrains AI app
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.