Built with Zed AI? Deploy it to AWS.
Step-by-step deployment help for Zed AI-built apps on AWS. We fix deployment issues, configure AWS correctly, and get your app live in production. From $19.
Zed AI issues we fix before deploying
Problems specific to Zed AI's code generation that affect AWS deployments.
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.
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.
AWS deployment issues we check for
Common AWS problems that break AI-generated apps in production.
IAM policies with wildcard permissions
AI-generated infrastructure code grants Action: '*' and Resource: '*' permissions, violating least-privilege principles and creating critical security exposure.
Security groups open to 0.0.0.0/0
Database and internal service security groups allow inbound traffic from any IP address, exposing RDS instances and backend services to the public internet.
S3 bucket policy allows public read
AI tools configure S3 buckets with public-read ACLs for convenience, inadvertently exposing private user data and application secrets.
Lambda cold starts degrading API performance
Infrequently called Lambda functions experience 3-10 second cold starts. AI-generated architectures don't configure provisioned concurrency or optimize bundle size.
Start with a self-serve audit
Get a professional review of your Zed AI project before deploying to AWS.
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 deploy a Zed AI-built app to AWS?
Yes. We regularly deploy Zed AI-generated projects to AWS. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on AWS.
What AWS issues do Zed AI projects typically have?
Zed AI projects commonly have inline edits applied directly to files without a diff review step and fewer security guardrails than more established ai coding assistants. When deploying to AWS, these combine with platform-specific issues like iam policies with wildcard permissions and security groups open to 0.0.0.0/0.
How do I get my Zed AI project live on AWS?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Zed AI-built projects targeting AWS, the typical path is: fix Zed AI-specific code issues, configure AWS settings correctly, then deploy. We provide a fixed quote after the audit.
Can you handle the full deployment of my Zed AI app to AWS?
Yes. We handle end-to-end deployment: auditing your Zed AI codebase, fixing deployment blockers, configuring AWS correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).
Related resources
Need help deploying your Zed AI app to AWS?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.