Technical Documentation Features Demo

This post demonstrates the enhanced markdown capabilities: LaTeX math, Mermaid diagrams, and emoji support! 🚀

LaTeX Math Expressions

Inline Math

You can write inline math like this: $E = mc^2$ or $\sum_{i=1}^{n} i = \frac{n(n+1)}{2}$

Display Math

For more complex equations, use display mode:

\frac{\partial f}{\partial x} = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}

\int_{-\infty}^{\infty} e^{-x^2} dx = \sqrt{\pi}

Mermaid Diagrams

Flowchart

flowchart TD A[Start] --> B{Is it working?} B -->|Yes| C[Great!] B -->|No| D[Debug] D --> B C --> E[End]

Sequence Diagram

sequenceDiagram participant User participant Frontend participant API participant Database User->>Frontend: Submit form Frontend->>API: POST /api/data API->>Database: Query Database-->>API: Results API-->>Frontend: Response Frontend-->>User: Display success

Class Diagram (UML)

classDiagram class Engineer { +String name +String role +int yearsExperience +code() +review() +mentor() } class Manager { +String department +int teamSize +plan() +delegate() +evaluate() } class EngineeringManager { +boolean technicalLead +scrum() +architect() } Engineer <|-- EngineeringManager Manager <|-- EngineeringManager

Gantt Chart

gantt title Project Timeline dateFormat YYYY-MM-DD section Planning Requirements :2025-01-01, 7d Design :2025-01-08, 10d section Development Backend Development :2025-01-18, 21d Frontend Development :2025-01-25, 21d section Testing Integration Testing :2025-02-15, 7d UAT :2025-02-22, 5d

State Diagram

stateDiagram-v2 [*] --> Draft Draft --> Review: Submit Review --> Approved: Accept Review --> Draft: Reject Approved --> Published: Deploy Published --> Archived: Deprecate Archived --> [*]

Emoji Support 🎉

You can use emoji shortcodes in your markdown:

🚀 Launch your project
🐛 Fix those bugs
🎨 Improve the design
✨ Add new features
⚡ Improve performance
🔥 Remove deprecated code
✅ Add tests
🔒 Fix security issues
📚 Update documentation
🚧 Work in progress

Combining It All

Here’s a real-world example combining math and diagrams for explaining algorithm complexity:

The time complexity of binary search is $O(\log n)$ , which can be proven:

T(n) = T(\frac{n}{2}) + O(1)

Using the Master Theorem, we get $T(n) = O(\log n)$

graph TB A["Array[8]"] --> B["Array[4] Left"] A --> C["Array[4] Right"] B --> D["Array[2]"] B --> E["Array[2]"] C --> F["Array[2]"] C --> G["Array[2]"] style A fill:#6366f1,color:#fff style B fill:#06b6d4,color:#fff style C fill:#06b6d4,color:#fff

Happy documenting! 📔 ✏️

Technical Documentation Examples