Model routing for subagents: let Haiku do the chores, Opus the hard parts
Every Claude Code subagent can run its own model. Configure it well and you save tokens without losing quality.
AI Agents & Skills
Skills, MCP, how agents work and keeping costs down. · 15 articles
Agent Teams in Claude Code: several Claude sessions working like a real team
One lead coordinates, teammates have their own context, share a task list and message each other directly. Experimental, powerful, token-hungry.
OpenClaw: a self-hosted AI assistant you message on Telegram/WhatsApp that does real work on your machine
One of the fastest-growing open-source personal-agent projects (formerly Clawdbot, Moltbot). Powerful, but it needs a safe setup.
Claude Agent SDK (Python): build your own agent on Claude Code's engine
The same agent loop, tools, permissions and hooks as Claude Code — called from your code, with custom tools written in Python.
Workflow or agent? 5 patterns from Anthropic for picking the right architecture
Prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer — and when you actually need an autonomous agent.
What are Agent Skills? Understand SKILL.md before installing dozens of them
A skill is a folder with a SKILL.md that teaches an agent one specific job. It’s an open standard used by Claude Code, Codex, Gemini CLI, Cursor and more.
Claude Code now reads AGENTS.md: one instruction file for every AI coding tool
Since 2.1.277, if a folder has no CLAUDE.md, Claude Code uses AGENTS.md — the open format already used by Codex, Cursor and others.
What is MCP? The “USB-C port” connecting AI to databases, GitHub, Slack…
The Model Context Protocol is a common standard for AI apps to reach external tools and data. Build a server once; every MCP-capable client can use it.
Inside Claude Code: an AI agent is really a loop around a model
Claude Code, Cursor and Devin share the same “harness”: think → call a tool → observe → repeat. Understanding the loop makes you better at using agents.
A forgotten /loop and a four-figure API bill: what repeated agent runs really cost
Every iteration resends the whole context. If iterations are spaced longer than the prompt cache lives, each one pays full price.
Superpowers: a skill set that makes Claude Code plan and test before coding
Instead of “build me an app”, Superpowers walks the agent through brainstorm → plan → batched execution → TDD → verification before saying done.
AutoHarness: let Claude Code turn each session’s lessons into skills
An open-source plugin that captures reusable approaches from your sessions as skills — then updates, merges and prunes them over time.
The Ralph Wiggum loop: run an agent over and over until the tests go green
A “dumb but effective” technique: keep the agent running on the same prompt and stop only when a check that can’t lie says it passed.
Hallmark: a design skill so AI-built sites stop looking AI-built
Purple gradients, identical rounded cards, generic copy — Hallmark uses page structures, themes and a 65-point “slop test” to block those tells.
“AI can clone any app without source code”? A reality check on REA
REA helps AI agents investigate how binaries, APKs and web apps behave. It’s real and useful — but the clickbait overstates it and skips the legal and safety risks.
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