AI coding tools such as Cursor and Claude Code are assistants that read a website’s code, suggest or make changes, run commands and explain what they did. For local and small businesses they make small fixes, landing pages and simple features affordable, but they work best when someone understands the site’s structure and reviews every change before it goes live.
Cursor is a code editor, built on the same base as Visual Studio Code, with AI chat and agent features inside it. Claude Code is Anthropic’s agentic coding tool that runs in the terminal, in IDE extensions and in a desktop app; it can read a project, edit files, run tests and use Git. Similar tools include GitHub Copilot, Windsurf and OpenAI’s Codex. They all rely on large language models, and they all make mistakes that look correct at first glance.
Can a small business owner use these tools without coding experience?
Partly. A non-developer can use them to understand a codebase, ask “where is the contact form handled?”, or make a text or styling change on a static site. That is useful. Where things go wrong is deployment, databases, payment code and security settings, because the owner cannot judge whether the change is safe.
A fair rule: if you could not explain the change to someone else after the tool made it, do not ship it to the live site. Ask the tool to explain it first, test it on a copy, or pass it to a developer for review.
What kind of website is a good fit?
These tools work best on sites where code lives in files you control.
- Static sites and site generators such as Astro, Hugo or Eleventy.
- Custom WordPress themes and child themes, edited locally and deployed.
- Small web apps built with frameworks like Next.js or Laravel.
- Shopify themes, worked on locally with Shopify CLI.
They are less helpful on closed site builders such as Wix or Squarespace, where most changes happen in a visual editor rather than code. For those, the AI features built into the builder itself are usually the better option.
Which tasks should you delegate first?
Start with work that is easy to check visually and easy to undo.
Content and layout fixes
Changing a section’s spacing on mobile, fixing a broken menu link, adding a new testimonials block that matches existing styles. You see the result immediately.
Performance and accessibility checks
Ask the tool to find images without width and height, missing alt text, or render-blocking scripts. Google’s Core Web Vitals targets, such as Largest Contentful Paint under 2.5 seconds, give clear goals. Confirm results with PageSpeed Insights rather than trusting the tool’s claims.
Local SEO details
Adding LocalBusiness structured data with your real name, address, opening hours and phone number, and validating it with Google’s Rich Results Test. Make sure the details match your Google Business Profile exactly.
Small features
A booking form that emails you, a store-hours banner that changes on holidays, a simple FAQ section. Keep each feature separate so one failure does not break the rest.
What mistakes cost small businesses money?
The tools are fast, which makes errors fast too.
- Editing the live site directly. Always work on a local or staging copy, with Git so every change can be reverted.
- Pasting secrets into chats or committing them to code: API keys, database passwords, payment credentials.
- Accepting large changes in one go. Ask for small steps and review each diff.
- Letting the tool install unknown packages or plugins without checking their source and maintenance.
- Forgetting backups before database changes, especially on WordPress and WooCommerce.
- Trusting “it works” without testing on a phone, in another browser, and with a real form submission.
How Alien Road applies AI coding tools for websites
In a typical engagement our web team uses Claude Code and Cursor inside a strict workflow rather than as a replacement for developers. Discovery starts with a site audit: hosting, CMS, theme or framework, plugins, current Core Web Vitals and any tracking that must not break.
Setup means a local copy of the site, Git history, a staging environment and a short project instruction file that tells the AI tool the rules: which folders it may change, the coding style, the commands for testing and what it must never touch, such as payment settings. Every change goes through review by a developer before deployment.
We measure delivery time per task, the number of review corrections and the effect on page speed and conversions. Reporting to the client lists each change in plain language, so a small business owner knows what was done and why, not just that “the site was updated”.
How do you write instructions the tool will follow?
Vague requests produce vague changes. “Make the homepage better” invites the tool to rewrite half the site. A useful request names the file or page, describes the current behaviour, the desired behaviour and a limit: “On the contact page, the phone number link does not work on iPhone. Fix only the link markup, change nothing else, then tell me which file you edited.”
Both Cursor and Claude Code read project-level instruction files, such as rules files in Cursor and a CLAUDE.md file in Claude Code. Put the standing rules there once: the site’s framework, where styles live, how to run the site locally and which folders are off limits. That saves repeating them in every request and reduces surprises.
How much should you budget?
Costs come in three parts. Subscriptions for the tools themselves, which vary by plan and usage; check current pricing pages. Hosting for a staging copy, often a small extra on existing plans. And human review time, which is the part people underestimate.
For a typical small site, the savings appear in routine work: fixes that used to take a developer half a day may take an hour including review. Larger projects such as a new store or a booking system still need proper planning; AI speeds up the typing, not the decisions.
Where to start this week
Make a list of five small things that annoy you about your website, such as a misaligned button on mobile, an outdated phone number, a slow hero image. Ask your developer, or set up yourself, a local copy of the site with Git. Use one AI coding tool to fix only the first item, ask it to explain the change in plain words, test it on your phone, and only then publish. Repeat with the next item once that process feels routine.
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