L'Histoire de Markdown

Описание: #Markdown Markdown is a lightweight markup language created by John Gruber in 2004, with significant contributions from Aaron Swartz, designed to be easy to read and write,,. Its primary goal is readability; a Markdown document should be publishable as-is, in plain text, without looking like it has been cluttered with tags or formatting instructions,. Unlike "heavier" formats like HTML or RTF, Markdown allows writers to use simple punctuation characters (such as asterisks for emphasis or hashes for headers) that visually resemble the meaning they convey,. It has evolved from a niche Perl script into a foundational layer for software documentation, collaborative engineering, and AI interaction.
#CommonMark Because the original Markdown description by Gruber contained ambiguities and lacked a formal specification, different implementations (parsers) began to diverge, leading to inconsistent rendering across platforms,. CommonMark was launched in 2014 (originally as "Standard Markdown") to solve this fragmentation by providing a strict, unambiguous specification and a comprehensive test suite,. It serves as the industry baseline; when modern tools claim to support Markdown, they generally refer to CommonMark as the core logic, often layered with specific extensions,.
#GitHubFlavoredMarkdown Often abbreviated as GFM, this is a rigorous dialect (or "flavor") of Markdown used by GitHub for user content, such as issues, comments, and README files. GFM is a strict superset of CommonMark, meaning it supports all CommonMark features but adds specific extensions useful for software development. Key GFM features include Tables (created with hyphens and pipes), Task Lists (interactive checklists using [ ] and [x]), Strikethrough (using ~~), and Autolinks (automatically converting URLs into clickable links),,.
#StaticSiteGenerator Markdown is the primary content format for Static Site Generators (SSGs), which are tools that pre-render HTML pages from raw data and templates, offering speed, security, and scalability,.
• Hugo: Written in Go, it is known for incredible build speeds (milliseconds) and is ideal for content-heavy sites,.
• Jekyll: The engine behind GitHub Pages, widely used for blogs and personal projects,.
• Docusaurus: Optimized for documentation websites, it supports versioning, search, and embedding React components directly into Markdown via MDX,,.
• Astro: A newer entrant focusing on shipping less JavaScript ("islands architecture") for faster performance.
#FrontMatter Front matter is a block of metadata included at the very beginning of a Markdown file, typically used by static site generators to define page attributes like titles, dates, tags, or authors,. It is usually enclosed by triple dashes (---) for YAML, though TOML (+++) and JSON (;;;) are also supported by some parsers. This metadata allows tools to process and organize content dynamically without cluttering the body text.
#Mermaid
#LaTeX
#LLMPrompting Markdown has emerged as a critical tool for Prompt Engineering with Large Language Models (LLMs). Structuring prompts with Markdown headers (#, ##), lists, and code blocks acts as a "briefing document" for the AI, significantly improving the accuracy and reliability of outputs,.
• Structure: Headers help the model distinguish between context, instructions, and input data.
• Token Efficiency: Markdown is minimalistic, reducing processing overhead compared to verbose formats like XML.
• Format Following: Advanced models (like GPT-4) have shown higher accuracy on reasoning tasks when prompts are structured in Markdown compared to unstructured text or JSON,.
#README The README.md file is the "front door" of a software project, usually the first file a user sees in a repository,. A high-quality README uses Markdown to structure essential information:
• Project Title & Description: What the project does.
• Installation & Usage: Code blocks showing how to run the software.
• Badges: Visual indicators for build status or licenses.
• License & Contributing: Rules for usage and collaboration,. Platforms like GitHub automatically render this file to provide immediate context to visitors,.
#SlashCommands