Build a Fintech Application with AI

What Go Bananas Builds for Fintech Products

Financial applications have strict requirements around data integrity, audit logging, and security. Go Bananas generates applications that handle these concerns at the architecture level — not as afterthoughts bolted on later.

• Transaction processing — double-entry ledger systems, idempotent payment handlers, balance calculations with decimal precision, and transaction history with filtering and export
• Account management — user accounts with balance tracking, multi-currency support, account statements, and configurable transaction limits
• KYC/identity verification — document upload flows, verification status tracking, manual review queues, and integration points for third-party identity providers
• Payment integrations — Stripe, Plaid, or custom payment rail integration with webhook processing, retry logic, and reconciliation
• Compliance and audit trails — immutable event logs, data retention policies, exportable audit reports, and admin-only access to sensitive operations
• Reporting dashboards — real-time balance summaries, transaction volume charts, fee revenue tracking, and user growth metrics
• Security layers — encrypted data at rest, input sanitization, CSRF protection, rate limiting on sensitive endpoints, and session management with device tracking
• Notification systems — transaction alerts, low balance warnings, suspicious activity flags, and regulatory communication templates

Fintech Products You Can Build

Why Go Bananas for Fintech Development

Fintech MVPs are notoriously expensive to build. The combination of security requirements, payment integrations, and compliance considerations means a typical fintech startup spends $200,000-$500,000 before launching. Go Bananas generates the same architectural patterns — double-entry bookkeeping, idempotent operations, audit logging — that experienced fintech engineers implement.

The generated code uses PostgreSQL with proper transaction isolation levels for financial operations, bcrypt for password hashing, JWT with refresh token rotation for session management, and structured logging for audit compliance. These are not surface-level features — they are built into the data access layer.

Go Bananas outputs a complete, readable codebase that your compliance team can review and your engineering team can extend. No black boxes, no generated binaries, no vendor dependency.