AI coding tools such as Cursor and Claude Code let people describe a change in plain language and get working code: a new landing page section, a tracking fix, a schema snippet or a data cleanup script. For marketers, they shorten the wait for small website tasks and make prototypes cheap. They do not remove the need for review, testing and someone who understands how the site is deployed.
What are Cursor and Claude Code?
Cursor is a code editor based on VS Code with AI built in. You open a project, select code or describe a change in a chat panel, and the assistant edits one or many files. It can explain code, write tests and suggest fixes for errors.
Claude Code is Anthropic’s coding agent that runs in a terminal, and through integrations in editors and a desktop app at the time of writing. It reads the repository, plans a change, edits files and can run commands such as builds and tests, asking for permission according to its settings. GitHub Copilot, Windsurf, Replit and Lovable offer similar capabilities with different emphasis, from autocomplete to full app builders.
Why should a marketer care?
Marketing teams depend on websites, and small technical tasks often sit in a developer queue for weeks: adding a FAQ block, fixing a broken UTM parameter in a form, creating a variant of a landing page for an A/B test. Many of these are simple for a developer but impossible for a marketer without coding skills.
AI coding tools narrow that gap. A marketer with basic technical literacy can prototype a page, write a script to clean a CSV of leads, or draft structured data, then hand a working change to a developer for review instead of a written request.
Which marketing tasks suit AI coding tools?
- Landing page prototypes in HTML and CSS or a framework the site already uses.
- Structured data: JSON-LD for Article, Product, FAQPage, LocalBusiness or Event.
- Tracking fixes: data layer pushes for Google Tag Manager, event parameters, consent mode checks.
- Small scripts: cleaning keyword exports, merging spreadsheets, checking a list of URLs for status codes.
- Email templates: responsive HTML for Klaviyo, Mailchimp or HubSpot.
- Simple WordPress customisations: a shortcode, a block pattern or a child theme tweak.
- Internal tools: a quick calculator, a UTM builder or a report generator.
What do these tools not do for you?
They do not know your business rules unless you explain them. They do not know which changes are risky on your particular site, and they can produce code that works on your laptop but fails in production. They can also be wrong with complete confidence, especially about library versions or platform-specific behaviour.
Most importantly, they do not replace your deployment process. Any code that touches the live site, payments, forms or personal data should go through the same review and testing as human-written code.
How does a typical workflow look?
Here is a realistic sequence for a marketer creating a new campaign landing page with an AI coding tool, working alongside a developer.
- Write a short brief: goal, audience, sections, form fields, tracking events and design references.
- Open a copy of the site’s theme or front-end project in Cursor or Claude Code, on a separate branch.
- Ask the tool to create the page using existing components and styles rather than new ones.
- Preview it locally or on a staging server and check mobile layout, speed and form behaviour.
- Ask the tool to add GTM data layer events and check them in Tag Assistant.
- Open a pull request and ask a developer to review the diff before merging and deploying.
Write prompts like tickets
Good prompts look like good tickets. “Add a three-question FAQ section under the pricing table on /pricing, using the existing accordion component, with FAQPage schema” gets a better result than “make the pricing page better”. Mention files, components and constraints by name.
Ask the tool to explain its own change in plain language before you accept it. If the explanation mentions files or behaviour you did not expect, stop and ask a developer.
What skills does a marketer need?
You do not need to be a developer, but some literacy helps a lot. Learn enough to read a diff and spot obvious problems, run a local preview, understand what git branches are, and use browser developer tools to check elements and the console. A few hours of basics makes AI coding tools far more useful and much safer.
It also helps to know where not to go. Database changes, payment integrations, authentication and server configuration are areas to leave to developers, even if the tool offers to help.