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Python Markdown Blog: 100 Lines of Code

Python Markdown Blog: 100 Lines of Code

You can build a working static site generator in about 100 lines of Python. The result reads Markdown files from a content directory, parses their YAML front matter, converts the Markdown to HTML, wraps everything in Jinja2 templates, and writes the output to a public/ folder ready to be served by any web server. It is the same fundamental pipeline that powers tools like Hugo , Jekyll , and Eleventy - just stripped down to the essentials so you can see exactly how the pieces fit together.

Generating SVG Graphics with AI

Generating SVG Graphics with AI

For precise technical diagrams, prompt an LLM to output SVG or Mermaid.js syntax instead of pixel-based images. This creates lightweight, resolution-independent graphics that search engines can read. Vector formats offer performance and clarity that raster images simply can’t match.

Why SVG? The Case Against Raster Images for Technical Diagrams

Most bloggers use screenshots or PNG exports for diagrams. This habit seems easy but carries hidden costs. A PNG flowchart often weighs 100 KB to 400 KB. In contrast, the same SVG diagram usually stays between 5 KB and 20 KB. This huge difference improves Core Web Vitals metrics like Largest Contentful Paint. Better performance helps your search rankings.

Self-Host Blog Comments with Remark42 (Privacy-First)

Self-Host Blog Comments with Remark42 (Privacy-First)

Most blogs reach for Disqus on day one. It takes about five minutes to set up. What you don’t see at sign-up is the deal you’re making. Disqus is free because it monetizes your readers. Every person who loads your comment section gets tracked, profiled, and served ads. They never agreed to it. That’s just the business model behind the embed script you pasted into your template.

Remark42 changes the equation. It is a self-hosted, open-source comment engine built in Go. It ships as a single Docker image. It collects only the data needed to run a comment section, and nothing more. This guide walks through the whole setup. You’ll deploy Remark42 behind Nginx with HTTPS, wire it into a Hugo site, set up moderation, and keep your data safe with automated backups.

The Best Static Site Generators for Your Blog in 2026

The Best Static Site Generators for Your Blog in 2026

In 2026, the web has returned to its roots: speed, simplicity, and security. Static Site Generators (SSGs) are now the top pick for bloggers. You can focus on content and skip the worry about database holes or slow load times. These tools turn plain Markdown (.md) files into fast static HTML, so your blog is quick, SEO-friendly, and easy to host. Once it’s live, you can speed up repeat visits with a service worker that serves pages instantly from the browser cache.

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Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4, Qwen 3.5, and Llama 4 compared on benchmarks, licensing, speed, and hardware so you can pick the right open model fast.

5 Open Source Repos That Make Claude Code Unstoppable

5 Open Source Repos That Make Claude Code Unstoppable

Five March 2026 repos extend Claude Code with autonomous ML, self-healing skills, GUI automation, multi-agent coordination, and Google Workspace access.

Cross-section of a translucent crystal brain threaded by red, gold, and teal attention ribbons resting on a doubly-stochastic matrix pedestal beside a guitar-tuning lab figure.

DeepSeek V4 Tech Report: 3 Tricks That Cut Compute 73%

DeepSeek V4 ships 1.6T parameters and 1M context using only 27% of V3.2's inference FLOPs. Inside the hybrid attention, mHC residuals, and Muon optimizer.

Cracked stone tablet engraved with a bulleted system prompt, four crossed-out goblin silhouettes repeated, a tiny goblin escaping with upvote-arrow sparks, a giant dollar-sign price tag, and figures refusing to step onto a glossier pedestal.

GPT 5.5 Reddit Reception: Goblins and the Cost Backlash

GPT-5.5 Reddit reception: viral goblin prompt leak, doubled pricing backlash, and 5.4 holdouts citing hallucination regressions in factual recall workflows.

What X and Reddit Users Are Saying about Claude Opus 4.7

What X and Reddit Users Are Saying about Claude Opus 4.7

How power users on X and Reddit reacted to Claude Opus 4.7: praise for agentic coding, token burn concerns, and teams' practical prompting habits.

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Alibaba's sparse Mixture-of-Experts: 35B total parameters, 3B active per token. Q4 quantization runs on MacBook Pro M5, matches Claude Sonnet performance.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Alacritty vs Kitty in 2026: emoji and Unicode rendering, real benchmarks, latency, memory, maintainer reputation, and the right terminal for your workflow.

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