Zed AI + Fintech App

Built a fintech app with Zed AI?
We'll make it production-ready.

Financial apps handle the most sensitive data there is — bank accounts, transactions, and personal financial information. A single security flaw can mean stolen funds, regulatory penalties, or permanent loss of user trust. AI tools can prototype a budgeting dashboard or invoicing system quickly, but the compliance, encryption, and audit requirements for financial software are far beyond what any AI tool generates out of the box.

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Fintech App challenges in Zed AI apps

Building a fintech app with Zed AI is a great start — but these challenges need attention before launch.

Data encryption and storage

Financial data must be encrypted at rest and in transit. Account numbers, transaction histories, and personally identifiable financial information need field-level encryption, not just HTTPS. AI tools store financial data in plain text in the database, which is a compliance violation waiting to happen.

Transaction integrity

Financial transactions must be atomic — money debited from one account must be credited to another, with no in-between state where it disappears. AI-generated code doesn't use database transactions, meaning a server crash mid-operation can leave accounts in an inconsistent state.

Audit trail and compliance

Every financial action needs an immutable log — who initiated it, when, what changed, and what the balances were before and after. Regulators require this. AI tools don't generate audit logging, and retrofitting it into an existing codebase is tedious but essential.

Third-party financial API integration

Connecting to Plaid, Stripe, or banking APIs requires handling OAuth flows, webhook verification, idempotency keys, and retry logic for failed calls. AI tools generate the initial API call but miss the error handling and reliability patterns these services require.

Authentication and fraud prevention

Financial apps need multi-factor authentication, session timeout policies, device fingerprinting, and suspicious activity detection. Basic email/password auth from AI tools is nowhere near sufficient for an app that touches people's money.

Number precision and currency handling

JavaScript floating-point math causes rounding errors with money — $0.1 + $0.2 !== $0.3. AI tools use standard floats for currency calculations, which leads to penny discrepancies that compound over time and break reconciliation.

Regulatory awareness

Depending on what your app does, you may need to comply with PCI DSS, SOC 2, KYC/AML requirements, or state money transmitter regulations. AI tools have no awareness of these requirements, and non-compliance can result in fines or forced shutdowns.

What we check in your Zed AI fintech app

Data encryption — field-level encryption for sensitive financial data
Transaction integrity — atomic operations, no partial state changes
Audit logging — immutable records of every financial action
Authentication — MFA, session management, account lockout policies
API security — webhook verification, idempotency, retry logic
Currency handling — integer-based math, no floating-point for money
Input validation — strict validation on all financial inputs and amounts
Rate limiting — abuse prevention on sensitive endpoints
Error handling — failures never leave transactions in inconsistent states
Access control — role-based permissions for financial operations

Common Zed AI issues we fix

Beyond fintech app-specific issues, these are Zed AI patterns we commonly fix.

highCode Quality

Inline edits applied directly to files without a diff review step

Zed AI applies inline edits immediately to open files, which makes changes fast but difficult to review as a unit before they are applied. Mistakes in multi-line edits can be harder to undo cleanly compared to tools that show a diff preview.

highSecurity

Fewer security guardrails than more established AI coding assistants

As a newer tool in a smaller ecosystem, Zed AI has less institutional knowledge built into its guardrails — it is less likely to flag insecure patterns in generated code like missing authentication or unsafe deserialization.

mediumBugs

Limited codebase context compared to dedicated AI coding assistants

Zed AI operates primarily on open files and the immediate context rather than indexing the full codebase, so suggestions may not account for existing utilities, established patterns, or dependencies defined elsewhere in the project.

mediumPerformance

Rust-specific suggestions may not account for lifetime and ownership rules

Generated Rust code from Zed AI sometimes produces code that compiles but has ownership patterns that are overly restrictive or introduce unnecessary clones, requiring a Rust-savvy developer to optimize.

Start with a self-serve audit

Get a professional review of your Zed AI fintech app at a fixed price.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

Frequently asked questions

Can I build a fintech app with Zed AI?

Zed AI is a great starting point for a fintech app. It handles the initial scaffolding well, but fintech apps have specific requirements — data encryption and storage and transaction integrity — that need professional attention before launch.

What issues does Zed AI leave in fintech apps?

Common issues include: inline edits applied directly to files without a diff review step, fewer security guardrails than more established ai coding assistants, limited codebase context compared to dedicated ai coding assistants. For a fintech app specifically, these issues are compounded by the need for data encryption and storage.

How do I make my Zed AI fintech app production-ready?

Start with our code audit ($19) to get a clear picture of what needs fixing. For most Zed AI-built fintech apps, 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 Zed AI-built fintech app?

Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger fintech app projects, we provide a custom fixed quote after the audit — no hourly billing.

Get your Zed AI fintech app production-ready

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

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