Deploy Website Updates with Vercel

Ship the version that includes theme switching, search, forms, and responsive fixes, then test the live site like a real user.

This page is a practical guide to how to deploy website updates. You are not memorizing theory first; you are learning enough context to give better instructions, review AI's work, and ship something that behaves correctly.

Why This Skill Matters

People trying to deploy website updates usually need more than a definition. They need a narrow workflow: what to ask AI, what to check in the browser, and what proves the result works.

In this level, the goal is to deploy website updates, and that goal stays tied to one outcome instead of drifting into unrelated tools or theory.

What You Are Learning

Core concept

A deployment is not complete until the live URL is tested.

Implementation pattern

Interactive features can behave differently after build.

Launch is a systems check

Mobile verification is part of launch, not an optional extra.

How to Work with AI in This Level

Treat the AI assistant like a fast junior developer that needs a clear brief and a reviewer. Give it the goal, the constraints, and the acceptance criteria. Then make it explain the files it changed before you move on.

A strong request usually includes:

• the user-facing outcome you want
• the pages, components, or files that should change
• the style or behavior constraints
• what should stay unchanged
• how you will verify the result

Step 1: Run a final local check

Run the app locally and verify every interactive feature before deploying. Catching bugs locally is faster than debugging production.

Use this prompt as a starting point:

Prepare this interactive portfolio for deployment. Run the build, fix any errors, push to GitHub, and give me a final live-site checklist covering theme toggle, search, contact form, and mobile layout.

After the assistant finishes, inspect the browser or terminal before continuing. The goal is to build the habit of checking real output instead of assuming the code is correct.

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Step 2: Push the code to GitHub

Create the repository, commit the code, and push from the project root. The repository should contain source files, not build output only.

After the assistant finishes, inspect the browser or terminal before continuing. The goal is to build the habit of checking real output instead of assuming the code is correct.

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Step 3: Confirm Vercel deployed and test the live URL on mobile

Import the repository into Vercel and check framework detection, build command, and output settings before the first deploy.

After the assistant finishes, inspect the browser or terminal before continuing. The goal is to build the habit of checking real output instead of assuming the code is correct.

Review Checklist

Before you mark the level complete, check the result manually:

• The page or feature loads without console errors.
• The main user flow works from start to finish.
• Text is readable on mobile and desktop.
• Buttons, links, and forms give visible feedback.
• You can explain the main files AI changed in plain English.

Pass Criteria

When you deploy website updates, the standard is simple: the live site should work, match the lesson goal, and be clear enough for you to explain without reading every line of code.

You can demonstrate the outcome of this level in the browser. The main flow is testable, the feature behaves as expected, and the implementation is clear enough for you to explain what changed.

If You Get Stuck

• If AI makes a large change you do not understand, ask it to summarize the files changed and the reason for each change.
• If the page breaks, paste the exact browser console or terminal error into the assistant and ask for the smallest fix.
• If the result works locally but not after deployment, compare environment variables, build settings, and route paths.

What to Ask AI Next

After you deploy website updates, ask AI to summarize the implementation and suggest one improvement that would help a real user. This keeps the page focused on how to deploy website updates while still giving you a next step.

If the level works, ask AI to summarize what you built in three bullets and suggest one small improvement. Save that summary. These notes become useful later when you deploy, debug, or explain the project to someone else.