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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.

Implement Dark Mode in Vanilla CSS (Zero JavaScript)

Implement Dark Mode in Vanilla CSS (Zero JavaScript)

You can build a solid dark mode using only the prefers-color-scheme media query and CSS Custom Properties (variables). This CSS-first approach gives users a flash-free theme switch. It also keeps your site’s code clean, light, and free of JavaScript.

Why Avoid JavaScript for Dark Mode

Most dark mode tutorials reach for JavaScript to toggle a class on <body>. It feels like the obvious fix. You add a button, read a preference from localStorage, and apply a class. It works well enough in demos. But in production, on real hardware and real networks, this approach breaks in ways worth knowing about before you commit to it.

Build Interactive Charts in Hugo without JavaScript

Build Interactive Charts in Hugo without JavaScript

Can you build interactive charts in Hugo without any JavaScript? Yes - by using Hugo shortcodes that transform CSV or JSON data into styled SVG graphics at build time. This “Zero-JS” approach produces charts that render instantly, work in every browser environment including RSS readers and print, and score significantly better on the page-speed metrics Google ranks on than anything built with Chart.js or D3.js .

The Problem with Client-Side Charting Libraries

Chart.js is excellent software. So is D3.js. But both carry a tax that static blog authors rarely think about until they run their first Lighthouse audit.

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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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