Signal
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Articles and talks worth keeping, compressed to the load-bearing idea — with the original always one click away.
Each entry is an AI-written compression of somebody else's work, published here so it stays findable. Every one credits and links its source. These are not Andrae's own notes.
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WEB
Red Blob Games Responsive Design
Model layout as a function from browser width to content width, and demand it be monotonic (wider browser never narrows content) and continuous (no jumps) — then implement it as a piecewise linear function in CSS (calc() with a vw slope term, breakpoints only where segments meet).
Amit PatelCREATIVE
ASCII Text Images in p5.js
ASCII art is just a lookup: read each pixel's brightness (0–255), map it to an index in a character string ordered by density, and print that character.
The Coding TrainAGENTS
Building a Claude Code Agentic OS
The value of an "Agentic OS" is under the hood, not the dashboard: skills, loop engineering, and a memory/state layer. Levels 1–2 are ~90% of the payoff and work in the plain terminal — no UI required.
Chase AIAGENTS
Compound Engineering with Claude Code
Compound engineering (Plan → Work → Assess → Compound) makes Claude Code permanently smarter by persisting corrections to CLAUDE.md and /docs so mistakes never repeat.
Peter YangSECURITY
Harvard CS50's Intro to Cybersecurity
Security is relative, not absolute — the goal is raising attacker cost until exploitation is economically or computationally impractical.
youtube.comAGENTS
Hermes Agent Fundamentals
A personal agent only compounds if you set the foundation first: pick always-on hardware, wire up a layered memory system, teach it skills, and schedule recurring work — otherwise it degrades and forgets.
Tina HuangMETA
How To Think Clearly Using Systems
Systems thinking means identifying which of four system types you're in (Clear, Complicated, Complex, Chaotic) before choosing how to respond.
Sandeep SwadiaAGENTS
The Four Types of AI Agent Memory
AI agents use four memory types from the CoALA framework: working, semantic, procedural, and episodic — each serving a distinct role in agent capability.
IBM TechnologyRAG / DATA
Why RAG Fails on Complex Documents
Real document sets contradict themselves and change over time, so many questions have more than one correct answer — a RAG that always returns one answer is misdesigned, not "hallucinating."
IBM Technology
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