---
title: "For developers — StudioMeyer Academy"
description: "Learn to use AI in everyday life and at work. Free lessons, playbooks and knowledge. Save your progress with an account."
canonical: "https://studiomeyer.academy/en/dashboard/entwickler"
language: en
markdown_versions: ["https://studiomeyer.academy/dashboard/entwickler.md", "https://studiomeyer.academy/en/dashboard/entwickler.md", "https://studiomeyer.academy/es/dashboard/entwickler.md"]
publisher: "StudioMeyer Academy, https://studiomeyer.academy (llms.txt: https://studiomeyer.academy/llms.txt)"
---

# For developers

Find the existing technical courses, recipes and concepts, from APIs and MCP to agents.

## Connect your AI to the Academy

Sign in once so the Academy can remember your progress. The existing MCP connection uses OAuth.

`https://mcp.studiomeyer.academy/mcp`

Your AI can read free content without signing in. Connect your account for your personal learning progress.

[Manage existing access](https://studiomeyer.academy/en/dashboard/keys)

## For your agent

Your AI will be able to find useful knowledge. You stay informed and decide on purchases.

Discover

https://studiomeyer.academy/en/dashboard/agent

## Existing lessons

All existing technical courses remain freely accessible. Their lessons are also listed in the relevant learning paths.

AI Fundamentals (17)

[What AI really is](https://studiomeyer.academy/en/dashboard/lernen/1/01-was-ist-ai) [Spotting hallucinations](https://studiomeyer.academy/en/dashboard/lernen/1/02-halluzinationen) [Prompt basics, asking properly](https://studiomeyer.academy/en/dashboard/lernen/1/03-prompt-basics) [Context and tokens, what the model sees](https://studiomeyer.academy/en/dashboard/lernen/1/04-kontext-und-tokens) [Which model for what. Claude, GPT, Gemini](https://studiomeyer.academy/en/dashboard/lernen/1/05-modelle-vergleich) [AI in everyday work, where it pays off](https://studiomeyer.academy/en/dashboard/lernen/1/06-ai-im-alltag) [Capstone, your first portfolio piece](https://studiomeyer.academy/en/dashboard/lernen/1/07-capstone) [Git for AI 1, the basics](https://studiomeyer.academy/en/dashboard/lernen/1/08-git-fuer-ki-1-die-basics) [Git for AI 2, branches and reviews](https://studiomeyer.academy/en/dashboard/lernen/1/09-git-fuer-ki-2-branches-und-reviews) [Git for AI 3, the GitHub MCP server](https://studiomeyer.academy/en/dashboard/lernen/1/10-git-fuer-ki-3-github-mcp) [Model landscape 2026: which AI model for what](https://studiomeyer.academy/en/dashboard/lernen/1/11-modell-landschaft-2026) [Data protection for AI beginners: what am I even allowed to type in?](https://studiomeyer.academy/en/dashboard/lernen/1/12-datenschutz-was-darf-ich-eingeben) [AI for your job application](https://studiomeyer.academy/en/dashboard/lernen/1/13-ai-fuer-die-bewerbung) [Giving images, screenshots and files to the AI](https://studiomeyer.academy/en/dashboard/lernen/1/14-bilder-und-dateien-an-die-ki) [Why the AI answers differently the second time](https://studiomeyer.academy/en/dashboard/lernen/1/15-warum-die-ki-verschieden-antwortet) [What the AI cannot do, however well you ask](https://studiomeyer.academy/en/dashboard/lernen/1/16-was-die-ki-nicht-kann) [Can AI run on my own computer?](https://studiomeyer.academy/en/dashboard/lernen/1/17-laeuft-ki-auf-meinem-rechner)

Productive with AI (9)

[Chain of Thought, letting the model think](https://studiomeyer.academy/en/dashboard/lernen/2/01-chain-of-thought) [System prompts, the frame before the question](https://studiomeyer.academy/en/dashboard/lernen/2/02-system-prompts) [Rolling context, working across many sessions](https://studiomeyer.academy/en/dashboard/lernen/2/03-rolling-context) [Tools in ChatGPT, Claude, Gemini, what works, what doesn't](https://studiomeyer.academy/en/dashboard/lernen/2/04-tools-in-ai) [Understanding RAG, when AI needs your knowledge](https://studiomeyer.academy/en/dashboard/lernen/2/05-rag-verstehen) [Capstone, building a real system out of prompts](https://studiomeyer.academy/en/dashboard/lernen/2/06-capstone) [Understanding reasoning and extended thinking](https://studiomeyer.academy/en/dashboard/lernen/2/07-reasoning-und-extended-thinking) [Few-shot prompting, giving the AI good examples](https://studiomeyer.academy/en/dashboard/lernen/2/08-few-shot-prompting) [Testing and improving prompts instead of guessing](https://studiomeyer.academy/en/dashboard/lernen/2/09-prompts-testen-und-verbessern)

Simple Automation (8)

[What automation really is](https://studiomeyer.academy/en/dashboard/lernen/3/01-was-ist-automatisierung) [Zapier, when it's the right call and when it isn't](https://studiomeyer.academy/en/dashboard/lernen/3/02-zapier-grundlagen) [n8n vs Zapier, the real decision](https://studiomeyer.academy/en/dashboard/lernen/3/03-n8n-vs-zapier) [Webhooks, the most fundamental building block](https://studiomeyer.academy/en/dashboard/lernen/3/04-webhooks-verstehen) [Capstone, a running automation process](https://studiomeyer.academy/en/dashboard/lernen/3/05-capstone) [When automations fail](https://studiomeyer.academy/en/dashboard/lernen/3/06-wenn-automationen-scheitern) [Adding AI to your automation](https://studiomeyer.academy/en/dashboard/lernen/3/07-ai-in-deine-automatisierung-einbauen) [From rigid automation to an agent chain](https://studiomeyer.academy/en/dashboard/lernen/3/08-von-zapier-zur-agenten-automatisierung)

Memory-First Workflow (12)

[Why memory changes everything](https://studiomeyer.academy/en/dashboard/lernen/4/01-warum-memory) [Model Context Protocol, the new standard](https://studiomeyer.academy/en/dashboard/lernen/4/02-was-ist-mcp) [Setting up memory, three clicks, no terminal](https://studiomeyer.academy/en/dashboard/lernen/4/03-memory-einrichten) [Hooks + skills, when memory feeds itself](https://studiomeyer.academy/en/dashboard/lernen/4/04-hooks-und-skills) [Same memory, three tools. Claude, Cursor, Codex](https://studiomeyer.academy/en/dashboard/lernen/4/05-tool-portabilitaet) [MCP discovery, how servers are found](https://studiomeyer.academy/en/dashboard/lernen/4/06-mcp-discovery-und-marketplaces) [Capstone, your portable memory setup](https://studiomeyer.academy/en/dashboard/lernen/4/07-capstone) [Sycophancy and bias, when memory becomes your own echo chamber](https://studiomeyer.academy/en/dashboard/lernen/4/08-sycophancy-und-bias) [Memory hygiene, the routine that keeps memory alive](https://studiomeyer.academy/en/dashboard/lernen/4/09-memory-hygiene) [mcp\_tool hooks, the direct line to your MCP server](https://studiomeyer.academy/en/dashboard/lernen/4/10-mcp-tool-hooks) [Prompt injection, the attack surface the moment AI gets tools](https://studiomeyer.academy/en/dashboard/lernen/4/11-prompt-injection) [Local models in your own stack](https://studiomeyer.academy/en/dashboard/lernen/4/12-lokale-modelle-im-eigenen-stack)

Multi-Agent Systems (9)

[What an agent really is](https://studiomeyer.academy/en/dashboard/lernen/5/01-was-ist-ein-agent) [CEO/Worker pattern, when one agent isn't enough](https://studiomeyer.academy/en/dashboard/lernen/5/02-ceo-worker-pattern) [The three classic workers. Research, Critic, Analyst](https://studiomeyer.academy/en/dashboard/lernen/5/03-research-critic-analyst) [Shared memory, agents that know about each other](https://studiomeyer.academy/en/dashboard/lernen/5/04-shared-memory-zwischen-agents) [Human-in-the-loop, when not to automate everything](https://studiomeyer.academy/en/dashboard/lernen/5/05-human-in-the-loop) [Capstone, three agents on a real problem](https://studiomeyer.academy/en/dashboard/lernen/5/06-capstone) [Arena, running your first bot against the baseline](https://studiomeyer.academy/en/dashboard/lernen/5/07-arena-onboarding) [Managed agents vs self-hosted, when each makes sense](https://studiomeyer.academy/en/dashboard/lernen/5/08-managed-agents-vs-self-hosted) [Agents that pay, what agentic payments mean for you](https://studiomeyer.academy/en/dashboard/lernen/5/09-agenten-die-bezahlen)

Full-Stack AI Systems (8)

[Planning an MCP server, what belongs in it](https://studiomeyer.academy/en/dashboard/lernen/6/01-mcp-server-planen) [TypeScript skeleton, an MCP server in 40 lines](https://studiomeyer.academy/en/dashboard/lernen/6/02-typescript-skeleton) [Tool design, the art of description](https://studiomeyer.academy/en/dashboard/lernen/6/03-tool-design) [Deployment + distribution, from local to installable](https://studiomeyer.academy/en/dashboard/lernen/6/04-deployment-und-distribution) [Distribution + sales, getting your server found](https://studiomeyer.academy/en/dashboard/lernen/6/05-distribution-verkauf) [MCP auth. OAuth 2.1 and Magic Link without pain](https://studiomeyer.academy/en/dashboard/lernen/6/06-mcp-auth) [Multi-agent orchestration, multiple servers in concert](https://studiomeyer.academy/en/dashboard/lernen/6/07-multi-agent-orchestrierung) [Capstone. Publish your first MCP server](https://studiomeyer.academy/en/dashboard/lernen/6/08-capstone)

[Technical recipes](https://studiomeyer.academy/en/recipes) [Explore the knowledge graph](https://studiomeyer.academy/en/concepts)

## Sitemap

Public pages of this site as Markdown: [sitemap](https://studiomeyer.academy/sitemap.md). Curated entry point: [llms.txt](https://studiomeyer.academy/llms.txt), full text: [llms-full.txt](https://studiomeyer.academy/llms-full.txt).