A nostalgic story about learning HTML by hand-typing source code before discovering copy-paste, emphasizing deep understanding over shortcuts.
Explores the viability of running local AI models for coding, covering hardware, performance, and quality factors.
A developer reflects on using Claude Code, noting less coding but more testing and understanding of AI-generated code.
Qwen3.6-27B is a new open-weight model delivering flagship coding performance in a compact 27B dense model, outperforming larger predecessors.
Explains why AI models optimized for coding improve at all tasks, treating coding as a meta-skill for structured problem-solving.
Analysis of a Morse code decision tree design that fits compactly into a circle using horizontal and vertical paths.
The article argues that true coding proficiency comes from struggling with problems yourself, not just following tutorials.
