Traefik – Nouman Labs

I am not a frontend engineer. I don’t know how to configure Webpack or write complex regex parsers from scratch. But I needed a tool to fix broken WordPress Block markup that was costing my team hours of manual work.

This week, using Cursor (Claude Sonnet), I built and deployed a containerized web app that parses and repairs Gutenberg block syntax instantly.

The Problem

I frequently deal with “broken” block comments in my content workflows. A missing / or malformed JSON attribute in a comment like “ breaks the visual editor. Manually finding these in 5,000-word articles is a nightmare.

The Stack

Instead of a heavy backend, I realized this could run entirely in the browser using the official WordPress parsers.

Frontend: HTML5 + Tailwind CSS (for the UI).
Logic: Vanilla JavaScript + bundled @wordpress/block-serialization-spec-parser.
Server: Nginx (Alpine Linux) serving static assets.
Deployment: Docker + Traefik (for SSL/Routing).

The Workflow: “Orchestrating” the Code

I didn’t write the regex or the parser logic line-by-line. I acted as the Architect:

The Parser: I asked AI to “Extract the official WordPress block parser functions and bundle them for browser usage.”
The Logic: I described the repair rules: “Find block comments where the JSON attributes are malformed or where the closing tag is missing, and auto-close them based on the stack.”

AI Syntax cleaner for WordPress block editor

The Code

Here is the core logic the AI generated to detect and fix the block comments using a stack-based approach:

// The AI implemented a stack to track open blocks and detect mismatches
function autoFixBlockComments(raw) {
    const stack = [];
    // Regex to find WP Block comments
    const RE_ANY = //gi;

    raw.replace(RE_ANY, (match, isSlash, sep, name, attrs, isSelf, idx) => {
        const cleanName = String(name).toLowerCase();
        
        if (isSlash) {
            // Found a closing tag // Logic: Check if it matches the top of the stack. 
            // If not, we found a "Stray closing block" or "Auto-closed mismatch"
        } else if (!isSelf) {
            // Found an opening tag. Push to stack.
            stack.push({ name: cleanName, where: idx });
        }
    });
}

The Deployment (Docker)

To make this available globally, I wrapped it in a lightweight Docker container. I didn’t need to look up Nginx config syntax; I just prompted: “Create a multi-stage Dockerfile that serves these static files using Nginx Alpine.”

Dockerfile

FROM nginx:alpine
# Remove default nginx static assets
RUN rm -rf /usr/share/nginx/html/*
# Copy our static assets
COPY index.html /usr/share/nginx/html/
COPY bundle.js /usr/share/nginx/html/
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]

The Result

The tool is now live as a public utility. It accepts broken markup, visualizes the errors, and returns clean HTML in milliseconds.

Live Demo: Blocks Cleaner

Total build time: 1 evening.

This project confirmed that you don’t need to be a full-stack dev to ship full-stack value. You just need to be a Systems Architect who can clearly define the problem and orchestrate the AI to build the solution.

Tech: Traefik

Shipping a Serverless Block Repair Tool with AI