Built a e-commerce store with Sweep 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 Sweep AI apps
Building a e-commerce store with Sweep 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 Sweep AI e-commerce store
Common Sweep AI issues we fix
Beyond e-commerce store-specific issues, these are Sweep AI patterns we commonly fix.
PRs may be too narrow, missing related bug sources
Sweep fixes the specific symptom described in the GitHub issue but often misses related root causes in adjacent code. The bug reappears from a different trigger after the narrow fix.
Security changes in PRs not reviewed for regression
When a GitHub issue involves auth or permissions, Sweep's generated PR modifies security-sensitive code. These changes require careful human review that automated PR creation workflows can bypass.
Generated tests verify implementation, not behavior
Sweep writes tests alongside its code changes, but the tests assert that the specific implementation works rather than that the feature behaves correctly across realistic input scenarios.
Edge cases not covered when issue description is vague
Sweep implements what the issue says literally. Vague issue descriptions lead to implementations that miss important edge cases — null inputs, concurrent requests, or invalid data.
Start with a self-serve audit
Get a professional review of your Sweep 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 Sweep AI?
Sweep 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 Sweep AI leave in e-commerce stores?
Common issues include: prs may be too narrow, missing related bug sources, security changes in prs not reviewed for regression, generated tests verify implementation, not behavior. For a e-commerce store specifically, these issues are compounded by the need for payment security and pci compliance.
How do I make my Sweep AI e-commerce store production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Sweep 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 Sweep 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 Sweep AI e-commerce store production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.