Built with Zed AI? Deploy it to Microsoft Azure.
Step-by-step deployment help for Zed AI-built apps on Microsoft Azure. We fix deployment issues, configure Microsoft Azure 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 Microsoft Azure 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.
Microsoft Azure deployment issues we check for
Common Microsoft Azure problems that break AI-generated apps in production.
App Service plan on wrong pricing tier
AI tools provision Free or Basic tier App Service plans that lack autoscaling, custom domains, and SSL — causing issues when traffic grows beyond trivial levels.
CORS not configured on Azure Functions
Azure Functions require explicit CORS configuration in the portal or host.json. AI-generated frontends fail silently when API calls are blocked by missing CORS headers.
Managed Identity not used for service connections
AI-generated code embeds connection strings and secrets directly in environment variables instead of using Azure Managed Identity for secure, keyless authentication.
Deployment slots not configured for zero-downtime
Production deployments happen directly to the main slot, causing downtime during each deploy. Staging slots are available but never configured by AI tools.
Start with a self-serve audit
Get a professional review of your Zed AI project before deploying to Microsoft Azure.
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 Microsoft Azure?
Yes. We regularly deploy Zed AI-generated projects to Microsoft Azure. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on Microsoft Azure.
What Microsoft Azure 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 Microsoft Azure, these combine with platform-specific issues like app service plan on wrong pricing tier and cors not configured on azure functions.
How do I get my Zed AI project live on Microsoft Azure?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Zed AI-built projects targeting Microsoft Azure, the typical path is: fix Zed AI-specific code issues, configure Microsoft Azure settings correctly, then deploy. We provide a fixed quote after the audit.
Can you handle the full deployment of my Zed AI app to Microsoft Azure?
Yes. We handle end-to-end deployment: auditing your Zed AI codebase, fixing deployment blockers, configuring Microsoft Azure correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).
Related resources
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