Fix a Failed Website or Web App Deployment With AI

Open the Failed Deployment in Your Hosting Dashboard

Open the failed deployment in your hosting dashboard and find the error logs.

Your project Deployments The failed deployment Logs

In your hosting dashboard

Section names differ between hosting providers, but the logs always belong to the deployment itself.

Copy the Right Logs for Your Failure

If the deployment failed during the build, copy the relevant build logs. If the deployment succeeded but the website or web app doesn't start or work correctly, use the runtime logs instead.

Copy the error message and the lines around it.

IMPORTANT

Do not include passwords, API keys, tokens, or other secrets.

Diagnose the Failure Before Changing Anything

Open your AI coding assistant inside the project and paste the deployment error with this prompt.

Find the Root Cause of the Failed Deployment

Analyzes the deployment error together with the current project and returns the most likely root cause, the evidence, whether the fix belongs in the code or the hosting configuration, and the smallest safe fix.

This project failed during production deployment. Analyze the deployment error I provide below together with the current project. Determine the actual root cause before changing anything. Check specifically for: - incorrect build or start commands - Node.js/runtime version mismatches - missing or incompatible dependencies - missing production environment variables - incorrect project root or output directory - package manager or lockfile problems - framework-specific production configuration - server/runtime errors - recent code changes that could have caused the failure Do not guess from the generic deployment status message. Use the actual error and project configuration. Do not expose, print, modify, or hard-code secrets. Do not make unrelated changes or redesign the project. First give me: 1. the most likely root cause 2. the evidence from the error or project 3. whether the fix belongs in the code or hosting configuration 4. the smallest safe fix Wait before making significant changes. Deployment error: [PASTE THE RELEVANT LOGS HERE]

Review the diagnosis before applying the fix.

Apply the Smallest Safe Fix

Once the cause is clear, let the AI assistant make only the necessary project changes.

Fix the Deployment Problem

Applies only the changes related to the confirmed root cause, runs the production build locally, and reports what changed plus any hosting setting you still need to update.

Apply the smallest safe fix for the deployment problem we identified. Before redeploying: - make only changes related to the confirmed root cause - preserve the existing design and functionality - verify the build and start configuration - run the production build locally - run any relevant checks or tests - do not hard-code environment variables or secrets - clearly tell me if part of the fix must be completed manually in the hosting dashboard When the project is ready, give me a short summary of: - what was changed - why it fixes the deployment - any hosting setting I still need to update - whether the local production build now passes Do not deploy automatically unless I explicitly ask you to.

Redeploy the Existing Project

Apply any required hosting configuration, then redeploy the existing project.

Your project Deployments

In your hosting dashboard

Update any hosting setting the assistant told you to change Redeploy the existing project Watch the new deployment logs until the build completes successfully

Check the Live Website or Web App

Open the live website or web app and make sure the deployment is actually working.

The homepage loads

Important pages and routes work

Refreshing a route does not cause an error

Authentication works if used

Forms and database features work

APIs and external services respond correctly

Images and assets load

No new critical runtime errors appear

IMPORTANT

If the deployment succeeds but the live project is still broken, return to the runtime logs and repeat the diagnosis with the new error.

Your deployment is fixed when the production build succeeds and the important live features work correctly.