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February 22, 2026

Engineering Journal: MDX Technical Showcase

A deep dive into the technical capabilities of this blog engine — featuring advanced typography, syntax highlighting, LaTeX math, and interactive diagrams.

#Engineering#MDX#Documentation#Web Dev

Welcome to the new Engineering Journal. This post serves as both a welcoming entry and a technical showcase of the capabilities integrated into this documentation engine. Every element here is designed for precision, clarity, and ease of technical communication.

This journal is more than a blog; it is a structured technical archive. It supports automatic numbering for equations and figures, IEEE-style citations, and high-performance server-side diagrams.


Technical Typography

The foundation of any engineering document is clear typography. We use a combination of Inter for prose and JetBrains Mono for technical tokens.

Inline Formatting

Prose can include inline code snippets, strong emphasis, and italicized technical terms. We also support text highlighting for critical observations and Key + Combinations for interface instructions.


Code & Syntax Highlighting

Powered by Shiki, our code blocks support dual-theme syntax highlighting, line numbers, and specific line focus.

engine.ts
ts
export async function getPosts(dir: string) {
  const files = await fs.readdir(dir);
  // The following line is highlighted for focus
  return files.filter(f => f.endsWith('.mdx'));
}

For shell commands and build logs:

bash
npm install
npm run build

Mathematical Precision

For research and control engineering, LaTeX support is essential. We use KaTeX for server-side math rendering.

The PID Control Law

A classic example of control implementation in the time domain:

u(t)=Kpe(t)+Ki0te(au)dau+Kdde(t)dtu(t) = K_p e(t) + K_i \int_{0}^{t} e( au) d au + K_d \frac{de(t)}{dt}

Stability Analysis

Inline math like limsoG(s)H(s)\lim_{s o \infty} G(s)H(s) flows naturally with the text, ensuring a smooth reading experience for theoretical derivations.


System Diagrams

Visualizing architecture is handled via Mermaid.js, rendered to static SVG during build time to ensure zero client-side overhead.


Data & Benchmarks

When presenting research data, clarity is paramount. We provide specialized grid components for both qualitative and quantitative data.

Performance Metrics

0ms
Hydration Time
Fully Static
100
Lighthouse
Perfect Score
1.2kB
Runtime JS
Optimized

Technical Comparison

FeatureImplementationPerformance
MarkdownGFM ExtensionsBuild-time
MathKaTeXServer-side
SyntaxShikiDual-theme
DiagramsMermaidStatic SVG

Media & Visuals

High-resolution imagery and figures are automatically numbered and labeled for cross-referencing.

Control Systems Visualization
A conceptual visualization of complex control loop dynamics and state estimation.

Citations & References

Academic integrity is maintained through a structured citation system [1]. This allows for deep technical dives [2, 3] while honoring the original research and standards.

References

  1. [1]I. Putra, Advanced Control Strategies for Robotic Systems, University of Engineering, 2025.
  2. [2]J. Doe et al., "The Impact of MDX in Technical Documentation," Journal of Software Engineering, vol. 12, no. 4, 2024.
  3. [3]IEEE Standard for Technical Reviews and Audits, IEEE Std 1028-2008.