CLAUDE CODE

From single-agent baselines to multi-level hierarchies, these are the seven patterns for wiring AI agents together in production. Each with a decision rule, an implementation sketch, and the tradeoffs that actually matter.

Zed shipped a Threads Sidebar that runs multiple agents in one window, isolated per-worktree, with per-thread agent selection. This is the first major editor to treat parallel agent orchestration as a first-class editor feature, not a plugin.

The viral Karpathy-style CLAUDE.md repo is not just a prompt trick. It shows why agent instructions, skills, plugins, and repo rules need ownership, review, and receipts.

Most MCP servers are noise. After shipping 24 apps with Claude Code, these are the five I reach for every time.

From Claude Code to Gladia, the ten CLIs every AI-native developer should know. Install commands, trade-offs, and when to reach for each.

One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.

Four agents, same tasks. Honest trade-offs from a developer shipping production apps with all of them.

CLAUDE.md is the highest-leverage file in any Claude Code project. Here's what goes in one, what doesn't, and the patterns that actually ship.

Skills are how you stop copy-pasting the same workflow into Claude Code every session. What they are, how to write one, and where to find hundreds ready to use. Fact-checked against Anthropic's docs.

Autocomplete wrote the line. Agents write the pull request. The shift from Copilot to Claude Code, Cursor Agent, and Devin - explained with links to the docs that prove every claim.

MCP is the open standard for connecting AI apps to tools and data: servers expose tools, resources, and prompts over JSON-RPC, and any client can use them. What it is, how the stateless 2026-07-28 spec works, how to install a server in Claude Code or Cursor, and how to build one with the v2 TypeScript SDK.

Updated 2026 comparison of Aider and Claude Code using official docs and current workflow patterns: architecture, control surfaces, cost behavior, and where each fits best.

A practical operational guide to Claude Code usage limits in 2026: plan behavior, API key pitfalls, routing choices, and team controls using hooks and subagents.

A deep comparison of Claude Code and OpenAI Codex app based on official docs and product updates: execution model, security controls, pricing, workflows, and when each wins.

Hacker News keeps arguing about Claude Code, Codex, skills, MCP, and orchestration. Under the noise, the same four truths keep surfacing: workflows matter more than demos, verification is the bottleneck, skills beat prompts, and orchestration matters more than raw autonomy.

The coding-agent workflow is maturing past giant hand-written prompts. The winning pattern in 2026 is a control stack: project rules, reusable skills, bounded sub-agents, and deterministic tools around the model.

AI-native development is not about using AI tools. It is about restructuring how you plan, build, review, and ship code around agent capabilities. The five-layer stack that defines how the most productive developers work in 2026.

How to use Claude Code's Task tool, custom sub-agents, and worktrees to run parallel development workflows. Real prompt examples, agent configurations, and workflow patterns from daily use.

How to use AI agents to plan, scaffold, build, test, and deploy a SaaS product. Parallel development patterns, real workflow examples, and the operational details that determine whether your AI-assisted build succeeds or fails.

Context engineering is the practice of designing the persistent information that surrounds every AI interaction. CLAUDE.md files, system prompts, skill libraries, and memory systems. It is the single highest-leverage skill for developers working with AI agents in 2026.