From Webflow to Workflow

Context

A visual concept built in Webflow, then refined into production-grade code. Using AI refactoring via Cursor IDE, the exported layout was transformed into a clean, scalable, and accessible codebase—bridging no-code speed with full-code quality.

Goals

• AI-powered code refactoring - Transforms Webflow's exported HTML/CSS into clean, semantic, production-ready code using GPT in Cursor IDE
• Semantic HTML5 structure - Replaces generic div-based layout with semantic tags (section, main, article, etc.) for accessibility and SEO.
• Cleaned and optimized CSS - Refactored style sheets for better readability, maintainability, and consistency in design tokens and spacing.
• Conversion-optimized copy - Rewritten hero sections, CTAs, and microcopy to improve clarity, tone, and user engagement
• Python-powered local preview - A lightweight local server to preview the static build and verify asset mapping before deployment.
• Version control via GitHub - All code changes tracked with commit history, branches, and collaboration-ready setup.
• Fast deployment via Netlify - Final build hosted on Netlify with instant deployment from GitHub, supporting CI workflows.

Constraints

• Webflow exports code with non-semantic <div> nesting and class clutter.
• Static assets (images, fonts) sometimes misalign during local previews
• Lack of direct HTML import support back into Webflow limits round-tripping

Approach

• Refactored HTML structure using GPT to apply semantic tags (section, main, article)
• Cleaned and grouped CSS for better maintainability and readability
• Rewritten headings and CTAs for more persuasive, UX-driven messaging.
• Used Python to serve the static files locally and ensure correct asset mapping
• Versioned all changes via GitHub for traceability, and deployed seamlessly with Netlify

Results

• Modern marketing site built fast with clean CMS-friendly structure.

Stack