Deep dives into working agents.

Technical walkthroughs with substance: architectures, prompting patterns, evals, and production lessons unpacked until complex agent systems become reusable design material.

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This AI Tool Maps Any Codebase Before You Touch It — Understand-Anything

Better Stack reviews Understand-Anything, an open-source Claude Code plugin that generates interactive dashboards from any codebase — turning 200K-line repos into navigable architecture maps with dependency graphs and flow diagrams.

deep-dives

Editorial

Published2026-05-20

How to Build Agent-Native Apps (and What to Avoid)

Steve from Builder.io presents a progressive ladder for AI app architecture — from bare LLM calls to full agent-native applications with instructions, skills, memory, and sub-agents — and introduces the open-source Agent Native framework.

deep-dives

Steve (Builder.io)

Published2026-04-20

All 35 Claude Code Concepts Explained for Non Coders — Chase AI

Chase AI breaks down all 35 Claude Code concepts in a beginner-friendly roadmap — from terminal basics and CLAUDE.md to hooks, MCP servers, and multi-agent worktrees — designed for people without a technical background.

deep-dives

Editorial

Published2026-04-09

I'm Using claude --worktree for Everything Now

Matt Pocock explores Claude Code's built-in --worktree flag — leveraging Git worktrees to run multiple AI agents in parallel on separate branches without merge conflicts.

deep-dives

Editorial

Published2026-02-21