Managing dynamic images in a rapidly growing knowledge base can quickly become an error-prone bottleneck—especially when each new article should have a matching visual asset, and every image must be accessible, SEO-friendly, and instantly visible on both article and preview pages.

Today, Hallermann Consulting overhauled its content pipeline with a bulletproof dynamic image standard. Every article now includes alt and imageCaption fields in the frontmatter, ensuring screen readers and search engines understand every visual. SVG and WebP images are automatically named using a slugified version of the article title, living in the /assets/images/ directory.

The backend (server.js) was updated to inject a fully responsive <figure><picture>...</figure> block at the top of each generated HTML file. It checks for the existence of the slugified image file using an async file system operation; if the image is missing, the system logs a warning and falls back to a universal SVG placeholder, guaranteeing there are never broken links or missing graphics.

On the frontend, the articles page JavaScript was refactored to use identical slug logic and robust validation. Each article card now references the same SVG or WebP, and all fallback logic mirrors the server, ensuring visual and technical consistency between the server and client. Even the featured article logic was synced to avoid 404s and show images just like the rest of the grid.

This upgrade not only delivers a flawless user experience and rock-solid accessibility—it sets the gold standard for automated content workflows. Every article, from draft to published page, is now visually consistent, performant, and ready for both readers and search engines.

In summary, today’s session demonstrates how strict conventions, reusable functions, and consistent file structure transform content automation from a source of headaches into a seamless, scalable system. By combining solid Node.js practices, careful JavaScript alignment, and accessibility-first markup, Hallermann Consulting’s knowledge base is now future-proof—and easy to expand with zero manual image errors.