Learning paths

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Three guided reading paths through the guides and essays on this site. Pick one, read in order, and check off what you finish — progress stays in your browser.

New to Claude Code

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From first install to a tool that fits your hand. Set up the CLI, learn the moves that matter, then decide how it stacks up against the alternative.

  1. Setup do Claude Code CLI 2026: Guia rápido de 5 minutos

    Install the CLI, authenticate, and finish your first working session in about five minutes.

  2. Claude Code Cheat Sheet

    Keep this open in a tab: every command, shortcut, and flag on a single page.

  3. Guia do Claude Code

    The complete reference. Skim the basics now, come back for the deep sections as you need them.

  4. Padrões de AGENTS.md: O que realmente muda o comportamento do agente

    Your instructions file is the highest-leverage config you have. These patterns actually change behavior.

  5. Tutorial de Hooks do Claude Code: 5 hooks de produção do zero

    Build five working hooks from scratch. This is the step from using the tool to shaping it.

  6. Criando Skills Personalizadas para o Claude Code: Um Tutorial Completo

    Package your own workflows as skills that switch on exactly when they are needed.

  7. Claude Code vs Codex CLI 2026: Referência de decisão

    You know the tool now. See how it compares to its main rival, and when each one wins.

Agentic Engineering

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How to build, run, and trust AI agents that do real engineering work: the harness, the economics, the failure modes, and where the discipline is heading.

  1. O Evidence Gate

    Start with the working discipline: never accept “it should work” from an agent. Require proof.

  2. Arquitetura de agentes

    The complete playbook for building an agent harness: skills, hooks, memory, subagents, and orchestration.

  3. Engenharia Composta: Como Minha Base de Código Acelera em Vez de Deteriorar

    Why harness work pays compound interest: each feature you ship makes the next one cheaper.

  4. Loop Engineering: Loops Win Where Verification Is Cheap

    The rule that decides what to automate: loops win only where checking the result is cheap.

  5. O que realmente quebra quando você roda agentes de IA sem supervisão

    Seven ways agents fail when nobody is watching, and the signal that catches each one early.

  6. Manual do Operador de Agentes: Supervisionando o Que Você Não Consegue Ver

    Running agents is a role of its own. What supervision looks like when you cannot read every line.

  7. Os agentes substituem o revisor, não a revisão

    Where this is heading: the reviewer role is dissolving while the review itself moves into the pipeline.

iOS with Agents

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Ship Apple-platform apps with AI agents doing the heavy lifting, from wiring Claude Code into Xcode to the on-device models your app can ship.

  1. Desenvolvimento de agentes iOS

    The end-to-end playbook for building iOS apps with agents. Start here and branch out.

  2. Dois servidores MCP transformaram Claude Code em um sistema de build iOS

    Wire Claude Code into Xcode so it can build, run tests, and read crash logs on its own.

  3. Hooks para desenvolvimento Apple: padrões que salvam o projeto

    An agent working near your signing keys needs guardrails. Four patterns that bound the damage.

  4. O Xcode 27 ficou agêntico

    What Apple ships natively: Xcode 27's built-in agents, and where they fit next to your CLI.

  5. Fluxo de trabalho agêntico do Foundation Models: dentro do app vs LLM de tooling

    Two AIs touch your app: the agent writing the code and the model shipping inside it. Keep their jobs straight.

  6. Foundation Models On-Device LLM: O Protocolo Tool

    Put Apple's on-device model to work inside your app, starting with the Tool protocol.

  7. Foundation Models no iOS 27: controle de chamada de ferramentas

    Control how the on-device model uses tools, with iOS 27's calling modes and built-in readers.