Tutorials, guides, and insights on diagramming, AI tools, and visual communication.
Learn the fundamentals of creating clear, effective software architecture diagrams. Covers C4 model, diagram types, best practices, and step-by-step instructions for teams of any size.
A decade of flowchart mistakes, distilled. Covers the six symbols that actually matter, the 15-shape rule, layout discipline, and a worked checkout-flow example rewritten from broken to clean.
A beginner-friendly guide to digital logic circuits. Learn about AND, OR, NOT, NAND, NOR, and XOR gates, truth tables, and how to build common circuits like adders and multiplexers.
A look inside how text-to-diagram tools actually work — the LLM extraction step, the DSL layer, the ELK layout engine — plus honest limitations and the prompting patterns that produce clean output.
Five mind-mapping techniques I’ve actually run in real sessions — from radial dumps to concept maps — with the cognitive-science backing, a step-by-step brainstorming protocol, and the failure modes that waste an hour.
What I learned from screening several hundred resumes as a hiring manager — the 7-second scan pattern, ATS parsing gotchas, section ordering by career stage, and the layout choices that quietly kill strong candidates.
When to reach for a node-based image pipeline over Photoshop actions or a Python script — with a worked product-photo example, honest tradeoffs versus chaiNNer and ImageMagick, and what the AI upscale, background-remove, and denoise nodes are actually doing.
Where the standard chat-loop agent stops scaling, why graph-based agent editors are the better fit for multi-step workflows with conditionals and parallel branches, and how the AI Agent Editor compares to LangGraph, n8n, and Dify.
Why single-prompt course generation produces plausible-but-useless content, the multi-step pipeline that actually works (objectives, modules, lessons, exercises, coherence check), and what AI-generated learning still can't replace.