Adding AWS S3 to your Zed AI app? Let us review it.
Expert review for AWS S3 integrations built with Zed AI. We fix Zed AI-generated AWS S3 code for security, error handling & production readiness. From $19.
Common Zed AI issues affecting integrations
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.
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.
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.
AWS S3 issues we find in Zed AI apps
S3 bucket configured with public read/write access
AI-generated code sets the bucket ACL to public-read-write or uses a bucket policy that grants s3:* to everyone, exposing all files and allowing arbitrary uploads.
AWS credentials hardcoded or in client-side code
Generated code includes AWS access key ID and secret access key directly in source files or client-side environment variables instead of using IAM roles or presigned URLs.
File uploads sent through the server instead of presigned URLs
AI tools route all file uploads through your server, creating a bandwidth bottleneck and unnecessary cost, instead of using S3 presigned URLs for direct browser-to-S3 uploads.
Start with a self-serve audit
Get a professional review of your AWS S3 integration 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.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review my Zed AI-built AWS S3 integration?
Yes. We regularly audit AWS S3 integrations in Zed AI-built apps. We check for proper error handling, security best practices, and production-ready configuration.
What AWS S3 issues does Zed AI typically create?
Common issues in Zed AI-generated AWS S3 code include: s3 bucket configured with public read/write access, aws credentials hardcoded or in client-side code, file uploads sent through the server instead of presigned urls. We fix all of these in our code review.
How much does it cost to fix my AWS S3 integration?
Start with our code audit ($19) to get a complete list of AWS S3 issues. Most integration fixes are included in our Fix & Ship plan ($199). For complex integrations, we provide a custom quote after the audit.
What AWS S3 best practices does Zed AI typically miss?
AI tools often skip webhook signature verification, proper error handling for API failures, retry logic with exponential backoff, and secure token storage for AWS S3. Our review checks all of these and provides specific fixes.
Related resources
More Zed AI Integrations
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