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. Claude Code CLI — konfiguracja 2026: szybki start w 5 minut

    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. Przewodnik po Claude Code

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

  4. Wzorce AGENTS.md: co naprawdę zmienia zachowanie agenta

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

  5. Poradnik Claude Code Hooks: 5 produkcyjnych hooków od podstaw

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

  6. Tworzenie własnych umiejętności dla Claude Code: Kompletny poradnik

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

  7. Claude Code vs Codex CLI 2026: Przewodnik decyzyjny

    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. Brama dowodowa

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

  2. Architektura agentów

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

  3. Inżynieria procentu składanego: jak moja baza kodu przyspiesza zamiast się degradować

    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. Co faktycznie się psuje, gdy agenty AI działają bez nadzoru

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

  6. Podręcznik operatora agentów: nadzorowanie tego, czego nie widać

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

  7. Agenci zastępują recenzenta, a nie samą recenzję

    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. Tworzenie agentów iOS

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

  2. Dwa serwery MCP uczyniły Claude Code systemem budowania iOS

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

  3. Hooki w pracy z Apple Development: wzorce, które ratują projekt

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

  4. Xcode 27 stał się agentowy

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

  5. Workflow agentowy Foundation Models: LLM w aplikacji a LLM jako narzędzie

    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: Protokół Tool

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

  7. Foundation Models w iOS 27: kontrola wywoływania narzędzi

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