Adding Features to Your JetBrains AI App

JetBrains AI handles in-project code generation well but doesn't manage infrastructure, database migrations, or multi-service coordination. It may generate correct application code for a new feature without understanding what schema migrations or service dependencies the feature requires

New Spring REST controllers with service and repository layers. Kotlin data classes and their validation logic. Python FastAPI route handlers with Pydantic models. Unit and integration tests for existing code. Flyway or Liquibase migration scripts for schema changes

Almost every SaaS app needs payment processing. Stripe is the standard — it handles credit cards, subscriptions, invoices, and payouts. The key pieces: a checkout flow for collecting payment, webhooks to update your database when payments succeed or fail, and a customer portal for managing subscriptions. JetBrains AI might generate a basic checkout page, but the webhook handling and subscription lifecycle management usually need to be built by hand.

Your app needs user accounts with secure login. The easiest options: NextAuth (for Next.js), Supabase Auth, or Clerk. These handle email/password login, social login (Google, GitHub), password resets, and session management. Don't build auth from scratch — the security implications are too complex for a first implementation.

Transactional emails — welcome emails, password resets, order confirmations — require an email service provider. Resend is the simplest to set up, SendGrid is the most established, and Amazon SES is the cheapest at scale. You'll need email templates, a sending service, and proper DNS configuration (SPF, DKIM) so your emails don't land in spam.

If a feature requires deep technical expertise (payment compliance, data privacy, real-time systems), it's faster and safer to get professional help than to iterate with AI tools. Our team adds features like these to JetBrains AI apps every week — we know the patterns and the pitfalls.