session://ai-developer-cards

AI Developer Cards — build_better
software with_AI

9 quests. 45+ methods. One physical card deck.
Prompts, patterns & mental models that move the needle — from vibe_prototyping to production_hardening.

9
quests
45+
methods
100+
workshops
1
card deck

AI Developer Cards is a physical card deck and companion app created by Ingo Eichhorst and Ralf D. Mueller that teaches 45+ methods for AI-assisted software development across 9 structured learning quests. Developed from insights gathered across 100+ developer workshops, the cards cover methodologies from vibe prototyping and prompt engineering to multi-agent coding and AI software hardening.

The deck.

click to flip · hover to inspect

Cheat codes that survived 100+ workshops.
Zero fluff.

Large-format physical AI Developer Cards spread on a table
01 // tactile_box_set

Large-format physical cards

Premium card stock, oversized format. 9 quest cards and 45+ method cards covering every scenario from first prototype to production hardening.

AI Developer Cards companion app showing interactive card viewer
02 // companion_app

Interactive digital deck

Tutorial videos, learning games, extended prompts, and skill assessments — amplify every card with the companion app.

Evergreen knowledge base with latest AI development methods
03 // always_current

Evergreen knowledge base

Constant app updates and discounted booster packs keep your toolbox aligned with the latest LLM capabilities, toolchains, and best practices.

The quest map.

Each quest is a focused mission — a curated sequence of methods from problem to production.

Q0 5 methods

vibe_prototyping

Go from napkin sketch to working demo before the meeting ends. Speed is the feature.

Q1 5 methods

greenfield_mvp

Ship a real product, not a toy. Structure, tests, and architecture from day one.

Q2 5 methods

ai_enabled_systems

Build software that treats LLMs as first-class components, not bolted-on afterthoughts.

Q3 5 methods

production_grade

Make it survive real users, real traffic, and real attacks. No more "works on my machine."

Q4 5 methods

legacy_modernization

Strangle the monolith slice by slice. Modernize legacy systems safely — zero downtime, zero rewrites.

Q5 5 methods

agentic_coding

Stop typing, start directing. Hand the keyboard to an AI agent and orchestrate the output.

Q6 5 methods

multi_agent_coding

One agent is fast. Multiple agents in parallel are a force multiplier.

Q7 5 methods

reinforcement_loop

Every session makes the next one better. Compound your AI's knowledge of your codebase.

Q8 5 methods

ai_software_hardening

Compliance, quality gates, and self-healing. Ship AI-generated code you'd bet your SLA on.

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Ingo Eichhorst
ingo_eichhorst // ai_architect

15+ years.
One playbook.

AI architect, CTO, and engineering trainer at a leading hyperscaler. Beta tester for GitHub Copilot and GPT-3 in 2021 — it clicked immediately. After training thousands of developers across Europe and collecting countless feedback loops, I distilled what actually moves the needle. These cards are the playbook I wish I had from day one.

100+ AI developer workshops delivered across Europe
Open-source contributor & university lecturer
Speaker at betterCode(), AI Camp & IT-Tage

Ralf D. Müller
ralf_d_mueller // software_architect

25+ years.
Docs as Code.

Software architect, arc42 & docToolchain creator, and GenAI pioneer. Co-host of Software-Architektur.TV and CPSA-A certified trainer at socreatory. After 25+ years in software development, Ralf bridges the gap between architecture documentation and modern AI-assisted workflows — teaching teams to speak the same language as their LLMs through semantic anchors.

Creator of docToolchain & arc42 template maintainer
Co-host Software-Architektur.TV & GenAI trainer at socreatory
Published in iX Magazine on AI in software architecture

Frequently Asked Questions

I already use AI coding tools every day — what am I actually missing?

Most developers have mastered the basics: autocomplete, Q&A, simple refactoring. What breaks down is knowing which method to reach for at each stage — when to vibe-prototype vs. harden production code, how to engineer context for consistent results, how to chain methods across a full workflow. AI Developer Cards map 45+ methods across 9 progression stages, distilled from 100+ workshops, so you always know the right move — not just the right prompt.

What did running 100+ developer workshops reveal?

A consistent pattern: developers kept reinventing the same mental models from scratch. After 100+ AI coding workshops across Europe, Ingo Eichhorst and Ralf D. Mueller noticed that the gap wasn't in AI capability — it was in structured methodology. Most teams got stuck cycling between basic autocomplete and ad-hoc prompting with no clear progression. That insight became the blueprint for the 9 quests and 45+ methods in the deck.

What AI coding methods do the cards cover?

The deck covers 45+ methods across 9 quests: vibe prototyping, greenfield MVP development, AI-enabled systems, production hardening, legacy modernization, agentic coding, multi-agent coding, reinforcement loops, and AI software hardening. Each method card includes specific prompts, patterns, and mental models for applying AI tools in real development scenarios.

Who are AI Developer Cards for?

AI Developer Cards are designed for software engineers and developers who want to use AI tools effectively across the full software development lifecycle — from rapid prototyping to production hardening. They are especially useful for developers attending AI coding workshops, team leads introducing AI practices to their teams, and self-learners who want structured guidance beyond basic code completion.

What is included in the card deck?

The physical card deck includes 9 quest cards and 45+ method cards in a premium oversized format. It comes with access to the companion app, which provides tutorial videos, learning games, extended prompts, and skill assessments to amplify every card.

When will AI Developer Cards be available?

AI Developer Cards are currently in pre-launch. Waitlist members receive 48-hour early access before any public announcement. Join above to get early-bird pricing on the physical deck, beta access to the companion app, and an exclusive preview PDF as soon as the deck ships.