How to Deploy Your Warp AI-Built App
Step-by-step guide to deploying your Warp AI app to production. Covers Shell scripting deployment, environment variables, and production configuration.
What Warp AI generates
Warp AI typically generates projects using Shell scripting, Docker, Kubernetes, and Terraform. Warp is an AI-powered terminal that provides command suggestions, explains command output, and generates shell scripts and infrastructure commands. Understanding the stack is important because it determines your deployment options and the specific configuration you'll need.
Where to deploy
Warp AI generates shell commands and scripts that may target any deployment infrastructure. The commands it generates run in whatever environment your terminal session is connected to — local, SSH, cloud shell, or CI
Step-by-step deployment
Warp AI generates individual commands and scripts, not full deployment pipelines. For deployment scripts generated by Warp: review them carefully before running, especially anything with sudo, rm, or that modifies infrastructure. Test in a non-production environment first. Verify that generated Terraform or Kubernetes configs match your organization's conventions before applying
Environment variables
One of the most common deployment failures is missing or misconfigured environment variables. Warp AI apps often hardcode values during development that need to be externalized for production. Audit every file for hardcoded URLs, API keys, and configuration values. Create a .env.example file listing every required variable. Set these in your hosting platform's dashboard before deploying.
Post-deployment checklist
After deploying, verify: HTTPS is enforced on all routes, custom domain is configured and resolving, environment variables are correctly loaded, all features work in production (not just locally), error tracking is capturing exceptions, and performance is acceptable under real conditions.
Common deployment mistakes
The most frequent issues we see in Warp AI deployments: forgetting to set environment variables (causing startup crashes), not testing the production build locally before deploying, missing build dependencies, and using development configurations in production.
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Related guides
Common Bugs in Warp AI-Generated Code
The most common bugs we find in Warp AI apps and how to fix them.
Security Issues in Warp AI Code
Critical security vulnerabilities commonly found in Warp AI-generated apps.
Optimizing Warp AI-Generated Code for Performance
How to make your Warp AI app faster.
Adding Tests to Your Warp AI Project
How to add a testing framework to your Warp AI app.
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