Most guides to wringing productivity out of these higher level Claude code abstractions suffer from conceptual and wall-of-text overload. Maybe it's unavoidable but it's tough to really dig into these things.

One of the things that bugs me about AI-first software development is it seems to have swung the pendulum of "software engineering is riddled with terrible documentation" to "software engineering is riddled with overly verbose, borderline prolix, documentation" and I've found that to be true of blog and reddit posts about using claude code. Examples:

https://www.reddit.com/r/ClaudeAI/comments/1oivjvm/claude_co...

and

https://leehanchung.github.io/blogs/2025/10/26/claude-skills...

These are thoughtful posts, they just are too damn long and I suspect that's _because_ of AI. And I say this as someone who is hungry to learn as much as I can about these Claude code patterns. There is something weirdly inhumane about the way these walls of text posts or READMEs just pummel you with documentation.