Awesome Aem Ai

A curated list of AI resources, tools, MCP servers, agents, and skills for Adobe Experience Manager (AEM) and Edge Delivery Services (EDS).

The AEM AI landscape moves fast — agents, MCP servers, and skills ship monthly across Experience League, aem.live, developer blogs, and press releases. This list is the single map, refreshed as things change.

Contents

• Start Here
• What's New (July 2026)
• Official Resources
• Architecture
• MCP Servers
• AI Agents
• Claude Code Skills
• IDE Extensions & Plugins
• AI Features by AEM Product
• Adobe LLM Optimizer
• Edge Delivery Services AI
• Development Tools
• Real-World Architecture Audit
• Best Practices & AI Workflow
• Tutorials & Learning
• Community Projects
• Videos & Presentations
• Related Awesome Lists

Start Here

Things this list has that you won't find in the official docs:

Resource	What you get
Hands-on Labs	Four step-by-step labs: AEM MCP Server, Experience Production Agent, Claude Code Skills, ACM MCP
AEM Core Skills	Seven AEM backend skills (HTL, Sling Models, OSGi, clientlibs, testing, EDS blocks, caching strategy) ready to copy
Community MCP Servers	The tools Adobe doesn't list: community servers for Sites, EDS, and Groovy script execution
Architecture Audit	A real-world Dispatcher security audit showing what grounded AI catches that chatbots miss

What's New (July 2026)

• Adobe's agents restructured into the Brand Experience Agent (Modernization, Production, Development), Content Advisor Agent, and Governance Agent - now GA via the Agentic SKU.
• Official MCP servers grew from 2 to 5 (Content, Content Read-Only, Cloud Manager, Experience Governance, Cloud Migration) - then consolidated behind one recommended endpoint, the unified AEM MCP Server, plus an official AEM Claude Connector and AEM ChatGPT Plugin.
• Summit 2026 introduced the Brand Visibility solution, LLM Apps, and Brand Concierge.
• The adobe/skills repository graduated from beta and is now installable as a Claude Code plugin.
• AEM 2026.6.0 shipped Visual Content Fragments, AI Translation, AI Search, and Brand Aware Metadata; 2026.7.0 (July 30) added the unified MCP Server, an Assets Onboarding Agent, Replication AI Troubleshooting, and Content Hub renditions - all currently in beta.

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Official Resources

Adobe Documentation

• AI in AEM Overview - All AI capabilities in AEM.
• Using MCP with AEM as a Cloud Service - Official MCP integration guide.
• Local Development with AI Tools - Official guide for local AI-enhanced development.
• AI-Assisted Development - Learn tutorials for agent skills, AGENTS.md, and MCP setup.
• Agents in AEM (Learn) - Hands-on tutorial for AEM agents.

Adobe AI Products

• Adobe LLM Optimizer - Generative Engine Optimization (GEO) for AI search visibility.
• Adobe Brand Concierge - AI-powered conversational companion for websites, with AEM as a content source.
• Adobe GenStudio - AI-powered content supply chain for performance marketing.
• Content Hub - AI-enhanced asset management.
• AI Assistant in AEM - Integrated AI assistant for product knowledge and support.

Announcements

• Adobe Brand Visibility Solution (April 2026) - Summit 2026 introduced AEM as the "brand context layer," LLM Apps for building experiences inside LLM interfaces, and agentic authoring.
• The Agentic Evolution of Adobe Experience Manager (February 2026) - MCP/A2A APIs, instructional authoring, in-product agent, and AEM Playground.
• Adobe AI Agents GA (September 2025) - General availability of AI agents for customer experience orchestration.

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Architecture

Adobe Experience Platform Agent Orchestrator

The Agent Orchestrator is the agentic layer powering AEM AI agents. It coordinates specialized agents across workflows and applications.

┌─────────────────────────────────────────────────────────────────────┐
│                    AI Assistant (Conversational UI)                  │
├─────────────────────────────────────────────────────────────────────┤
│                         Reasoning Engine                             │
│   • Interprets natural language prompts                              │
│   • Creates step-by-step execution plans                             │
│   • Adjusts dynamically, retries alternative approaches              │
├─────────────────────────────────────────────────────────────────────┤
│                    Adobe Experience Platform Agents                  │
│  ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌─────────────┐ │
│  │  Discovery   │ │   Content    │ │  Experience  │ │ Development │ │
│  │    Agent     │ │ Optimization │ │  Production  │ │   Support   │ │
│  └──────────────┘ └──────────────┘ └──────────────┘ └─────────────┘ │
├─────────────────────────────────────────────────────────────────────┤
│                         Knowledge Base                               │
│   • Adobe product documentation                                      │
│   • Customer metadata & business objects                             │
│   • Analytics data                                                   │
└─────────────────────────────────────────────────────────────────────┘

Documentation: Platform Learn Tutorial

Key Components

Component	Description
Conversational Interface	Natural language interaction via AI Assistant
Reasoning Engine	Interprets goals, creates plans, adjusts dynamically
Knowledge Base	Secure access to documentation, metadata, analytics
LLM Service	Azure OpenAI or Meta Llama models

Built-in Functional Agents

Agent	Purpose	Scope
Product Knowledge Agent	Retrieves and answers from Adobe documentation	Documentation queries
Operational Insights Agent	Translates questions to queries against data stores	Analytics & reporting
Product Support Agent	Troubleshooting for AEM, Platform, CJA, Journey Optimizer	Support tickets

Experience Modernization Agent Architecture

The Experience Modernization Agent (documented in the AI Agents section below) automates migration to Edge Delivery Services:

┌─────────────────────────────────────────────────────────────────────┐
│                   Experience Modernization Console                   │
│                      (Web Interface)                                 │
├─────────────────────────────────────────────────────────────────────┤
│                        AI Coding Agent                               │
│  ┌──────────────────────────────────────────────────────────────┐   │
│  │                    Migration Skills                           │   │
│  │  • Page decomposition & section identification                │   │
│  │  • Block mapping against library                              │   │
│  │  • Design system extraction (colors, fonts, CSS)              │   │
│  │  • Bulk content import                                        │   │
│  └──────────────────────────────────────────────────────────────┘   │
├─────────────────────────────────────────────────────────────────────┤
│                      Integration Layer                               │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌────────────┐  │
│  │   GitHub    │  │    Figma    │  │  Live AEM   │  │   Source   │  │
│  │ Integration │  │ MCP Server  │  │   Preview   │  │  Website   │  │
│  └─────────────┘  └─────────────┘  └─────────────┘  └────────────┘  │
├─────────────────────────────────────────────────────────────────────┤
│                    Edge Delivery Services                            │
│              (Production-ready output)                               │
└─────────────────────────────────────────────────────────────────────┘

Workflow:

1. Analyze source pages → Identify visual sections
2. Map sections → Match against block library
3. Extract design system → Generate CSS (colors, fonts, styles)
4. Create PRs → GitHub integration for review
5. Deploy → Direct to Edge Delivery Services

Security & Governance

Safeguard	Description
Enterprise-grade trust layer	Built-in data access controls
Consent management	Respects data-usage policies
Human oversight	Agents follow user input and product-level access controls
Transparent workflow	Exposes reasoning logic, queries, and conversation history
Audit trail	All agent actions are logged and explainable

Documentation: AI in Experience Cloud

Core AI Services & Trust

Foundational AI technologies and ethics powering the AEM ecosystem.

Service	Role	Key Feature
Adobe Firefly	Generative Engine	Commercially safe image generation and creative editing.
Adobe Sensei GenAI	Experience Intelligence	Powers copy variations, content discovery, and intelligent automation.
Responsible AI	Ethical Framework	Framework focusing on accountability, responsibility, and transparency.
Experience Cloud Performance	Contextual Intelligence	Real-time performance insights to tailor AI outputs to customer personas.

Architecture Resources

Resource	Description	Link
AEM Cloud Service Architecture	Core AEM architecture overview	Docs
EDS Architecture	Edge Delivery Services deep dive	Docs
Adobe Developers Live 2025	AEM Agents session recording	Video
Experience Cloud Blueprints	Reference architecture diagrams	Docs

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MCP Servers

Model Context Protocol (MCP) servers that integrate with AEM and EDS.

AEM MCP Server (Unified, Recommended)

As of the 2026.7.0 release, Adobe recommends a single endpoint over configuring the domain-specific servers individually:

Server	Endpoint	Description
AEM MCP Server	https://mcp.adobeaemcloud.com/adobe/mcp/aem	Content CRUD (pages, fragments, assets) plus Experience Governance checks in one endpoint. Does not yet cover Cloud Manager or Cloud Migration - add those domain-specific servers separately if needed.

This same endpoint backs the AEM Claude Connector (install from Claude's connector directory on claude.ai) and the AEM ChatGPT Plugin (one-click install from OpenAI's plugin marketplace).

Official Adobe MCP Servers (Domain-Specific)

Still available, and still needed for Cloud Manager and Cloud Migration coverage. Hosted at https://mcp.adobeaemcloud.com/adobe/mcp/:

Server	Endpoint	Description
Content Server	/content	Full CRUD operations for pages, fragments, and assets
Content Read-Only	/content-readonly	Read-only access for retrieval operations
Cloud Manager	/cloudmanager	Manage programs, environments, repositories, and pipelines
Experience Governance	/experience-governance	Assess content compliance against brand governance standards
Cloud Migration	/cloud-migration	Migration analysis data for AEM 6.x to Cloud Service transitions

Key Features:

• Natural language interaction with AEM content
• OAuth authentication via Adobe ID
• Respects user's AEM permissions
• Supports Claude, ChatGPT, Cursor, VS Code, JetBrains, GitHub Copilot, Claude Code, Cline, Windsurf, and Microsoft Copilot Studio

See the official MCP documentation linked under Official Resources above.

Local Runtime MCP Servers

Model Context Protocol (MCP) servers that connect AI tools to local running environments (AEM SDK and Dispatcher).

Server	Components	Description
AEM Quickstart MCP Server	aem-logs, diagnose-osgi-bundle, recent-requests	Full inspection of local OSGi, logs, and HTTP request traces
Dispatcher MCP Server	validate, lint, trace_request, inspect_cache	Static and best-practice checks, request tracing, cache analysis

See the Local Development with AI Tools guide linked under Official Resources above.

Community MCP Servers

Name	Description	Links
aem-mcp-server	Full-featured MCP server for AEM - 35+ methods for content, components, assets	npm / GitHub
aem-sites-mcp	Sites-specific MCP server for local AEM instance management	GitHub
acm-mcp-server	MCP server for AEM Content Manager (ACM) - execute Groovy scripts via AI	GitHub

Edge Delivery Services MCP Servers

Name	Description	Links
helix-mcp	Docs search, page status, audit logs, and RUM/Core Web Vitals tools for EDS and Document Authoring sites	GitHub
aem-eds-mcp-server	10 consolidated tools for EDS via the Helix Admin API - content management, config, jobs, search	npm

Also recommended by the aem.live AI coding agents guide: Context7 (API docs indexing including AEM), DA MCP Server (Document Authoring content workflows), and Browser MCP (remote browser control and screenshots).

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AI Agents

Official Adobe Agents

Adobe's AEM agents are organized into three top-level agents. Overview

Agent	Purpose	Status
Brand Experience Agent	Automates high-effort operational tasks via specialized sub-agents (Modernization, Production, Development)	GA
Content Advisor Agent	Discover, refine, and adapt assets via natural language for channel-ready variations	GA
Governance Agent	Enforces security, regulatory, and brand policies to protect brand integrity	GA

Try before you buy: AEM Playground - isolated sandbox for agentic workflows (auto-deletes after 30 days). Production access via the Agentic SKU - contact your Adobe CSM/TAM.

Brand Experience Agent

Umbrella agent for operational automation. Overview

Experience Production Agent

Automates high-effort, high-volume content tasks. Overview

Skill	Description	Documentation
Content Update Job	Update, remove, replace content in pages, fragments, forms via natural language or Jira	Docs
Content Create Job	Create net-new content via natural language (Limited Availability - email [email protected])	Docs
Figma to Visual Content Fragments	Turn Figma designs into Visual Content Fragments	Docs
Forms Creation Job	Build adaptive forms through natural language without development teams	Docs
Communication Creation Job	Generate personalized, data-driven correspondence (statements, policies, bills)	Docs

Content Update Skill Technical Details:

Aspect	Details
Content Types	Pages, Content Fragments, Adaptive Forms, Assets
Operations	Update, remove, replace, add content elements
Input Methods	Natural language prompts or Jira ticket integration
Integration	Direct AEM author instance connectivity

Experience Modernization Agent

AI-powered website migration to Edge Delivery Services. Overview

Skill	Description
Site Migration	Transform websites from any CMS, legacy AEM, or Figma into EDS projects
Block Development	Content-Driven Development methodology with Block Collection/Party
Design Extraction	Extract colors, fonts, styles into CSS from source sites

Console: Available at aemcoder.adobe.io - no local setup required

Experience Development Agent

AI-assisted troubleshooting and build automation for AEM Cloud Service. Overview

Capability	Description
Pipeline Troubleshooting	Analyze logs and suggest fixes for failing Full Stack and Web Tier Config pipelines
Conversational Cloud Manager	Ask questions about programs, environments, and pipelines in natural language
Maintenance Windows	AI-assisted management of Quiet Hours and Update Free Periods

Access: Requires Cloud Manager Developer or Program Manager role

Content Advisor Agent

Discover, refine, and adapt assets through natural language. Overview

Capability	Description
Semantic Discovery	Find assets, Content Fragments, and Adaptive Forms using conversational prompts
Advanced Filtering	Format, orientation, dimensions, metadata, tags, folders, creation dates
Image Optimization	Format conversion, resolution, cropping, sharpening, background changes
Multi-Variant Production	Generate channel-ready renditions from single prompts (Instagram, web banners, etc.)
Dynamic Variant Generation	Create optimized variants as dynamic URLs for different channels

Governance Agent

Brand integrity and compliance enforcement. Overview

Capability	Description
Compliance Monitoring	Detect policy violations in real-time
Metadata Enforcement	Ensure assets have required metadata
Brand Validation	Check content against tone, claims, logo, typography, imagery rules

Integration: Works with ChatGPT, Claude, and other AI systems via A2A and MCP protocols, plus the official /experience-governance MCP server

Availability: AEM as a Cloud Service and Edge Delivery Services (GA via Agentic SKU); progressive rollout to AEM 6.5 LTS on Managed Services is planned

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Claude Code Skills

Official Adobe Skills (adobe/skills)

The adobe/skills repository is now production-ready (main branch) and covers AEM EDS, AEM Cloud Service, AEM 6.5 LTS, project management, App Builder, Analytics/CJA, and Creative Cloud.

# Install as a Claude Code plugin (recommended)
/plugin marketplace add adobe/skills

# Install via npx (Vercel Skills)
npx skills add adobe/skills --all

# Install via gh-upskill
gh upskill adobe/skills --all

AEM Cloud Service skills include:

Skill	Description
ensure-agents-md	Bootstraps AGENTS.md by detecting modules from pom.xml
create-component	Scaffolds dialogs, HTL, Sling Models, tests, and clientlibs
dispatcher	Assistant for Apache/Dispatcher security, performance, and tuning
workflow	Designs models, develops process steps, and diagnoses failures
aem-rde	Rapid Development Environment assistance (beta)

Official Adobe EDS Skills

Install official Adobe skills from adobe/helix-website:

# Install via gh-upskill
gh extension install trieloff/gh-upskill
gh upskill adobe/helix-website --all

15 skills available: content-driven-development, page-import, building-blocks, content-modeling, testing-blocks, code-review, docs-search, block-inventory, block-collection-and-party, page-decomposition, identify-page-structure, scrape-webpage, generate-import-html, preview-import, authoring-analysis

AEM Core Skills (This Repository)

Pre-built AEM backend skills available in .claude/skills/:

Skill	Description	File
aem-htl	HTL/Sightly templating, data binding, contexts, i18n	View
aem-sling-models	Sling Models, injectors, delegation, exporters	View
aem-osgi	OSGi services, configs, schedulers, events	View
aem-clientlibs	Client libraries, dependencies, optimization	View
aem-testing	Unit tests, AEM Mocks, integration tests	View
eds-blocks	EDS block development, patterns, utilities	View
aem-caching-strategy	Dispatcher/CDN caching, invalidation, permission-sensitive caching	View

Installation

# Copy this repo's skills to your AEM project
cp -r .claude/skills/ /path/to/your/aem-project/.claude/skills/

Skills Tools

Tool	Description	Install
gh-upskill	Install skills from any GitHub repo	gh extension install trieloff/gh-upskill
openskills	Universal skills loader for AI agents	npx openskills install
claude-skills-cli	Create and validate Claude skills	npx claude-skills-cli init

Documentation

• Claude Code Skills Docs - Official skill creation guide.
• Agent Skills Repository - Example skills and the skill specification.

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IDE Extensions & Plugins

VS Code Extensions

Extension	Description	Marketplace
AEM Sync	Sync file changes to AEM automatically	Link
VSCode AEM Sync	Sync files, folders, nodes to AEM	Link
AEM Copilot	GitHub Copilot for AEM Edge Delivery Services	Link
AEM Explorer	Integrates AEM to VS Code for development	Link

IntelliJ Plugins

Plugin	Description	Marketplace
AEM IDE	Comprehensive AEM development tools	Link

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AI Features by AEM Product

Adobe GenStudio

See the GenStudio product page linked under Official Resources above.

Feature	Description
Performance Marketing	AI-powered content supply chain for creating, managing, and measuring marketing content
Content Generation	Generate on-brand content variations across channels
Brand Compliance	Ensure content meets brand guidelines using AI
Multi-Channel Delivery	Optimize and deliver content to web, social, email, and ads

AEM Sites

Feature	Description	Documentation
Visual Content Fragments	Render structured content as formatted HTML experiences for visual preview before publication (GA 2026.6.0)	Release notes 2026.6.0
AI Translation	LLM-powered content translation (Azure OpenAI as provider, more LLMs planned)	Release notes 2026.6.0
Generate Variations	AI-powered content variations for Content Fragments and EDS	Docs
Generative AI Overview	GenAI for content creation and personalization	Docs
Replication AI Troubleshooting	AI Assistant helps diagnose blocked replication queues and other replication issues (Beta)	Release notes 2026.7.0

AEM Assets

Feature	Description	Documentation
AI Search	Natural language asset search ("a family at the beach") without exact metadata matches	Release notes 2026.6.0
Brand Aware Metadata	AI-generated custom metadata on upload/re-process using prompt libraries (Early Adopter)	Release notes 2026.6.0
AI-Generated Video Captions	Automatic caption generation for Dynamic Media with OpenAPI videos (GA 2026.6.0)	Release notes 2026.6.0
Assets Onboarding Agent	AI-guided DAM setup for new orgs - conversational planning plus auto-created folder hierarchies, tag taxonomies, and metadata forms (Beta)	Release notes 2026.7.0
Generate Renditions from Content Hub	Create channel-specific asset variants (resize, crop, compress, reformat) directly from the search bar	Release notes 2026.7.0
Smart Tags	Automatic AI tagging for images and videos	Docs
Smart Crop	AI-powered focal point detection and cropping	Docs
Dynamic Media AI	Smart imaging and video optimization	Docs
Content Advisor Agent	Natural language asset discovery and refinement	See AI Agents above

AEM Forms

Feature	Description	Documentation
Generative AI for Forms	AI-powered form generation and panel creation	Docs
AI Assistant	Product knowledge and authoring assistance	Docs
Content Advisor Agent	Intelligent search across Adaptive Forms	See AI Agents above
Forms Creation Job	Build adaptive forms through natural language	See AI Agents above

AEM Guides

Feature	Description	Documentation
AI Assistant	Smart help and authoring features	Docs
Smart Suggestions	AI-powered content reuse recommendations	Docs

AEM Screens

Feature	Description	Documentation
Data-Driven Personalization	Rules-based personalization for digital signage based on location, time, audience data	Docs
Smart Image Cropping	AI-powered focal point detection for screen dimensions (inherited from Assets)	See Smart Crop under Assets above
Adobe Analytics Integration	Understanding signage performance with analytics (general AEM Analytics integration pattern; no Screens-specific doc published)	Docs
Adobe Target A/B Testing	AI-assisted testing for digital signage content	See Adobe Analytics Integration docs above

Note: AEM Screens inherits AI capabilities from AEM Sites and Assets (Smart Tags, Smart Crop, etc.) for content that is published to digital signage displays.

Migration & Modernization

Feature	Description	Documentation
Experience Modernization Agent	AI-assisted migration to Edge Delivery Services	See AI Agents above
Cloud Migration MCP Server	Migration analysis data for AEM 6.x to Cloud Service via MCP	See MCP Servers above
AEM Modernization Tools	Convert legacy AEM to modern patterns	Docs

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Adobe LLM Optimizer

Generative Engine Optimization (GEO) for AI search visibility in ChatGPT, Perplexity, Copilot, Gemini, and other LLM-driven assistants.

Overview

Adobe LLM Optimizer is a generative AI-first application designed to help brands enhance their visibility, accuracy, and influence in AI-driven search environments. It provides insights into brand presence in AI-generated answers, offers prescriptive content recommendations, and automates optimization fixes.

Key Features

Feature	Description	Documentation
Brand Presence Dashboard	Command center for brand mentions, citations, and sentiment in AI responses	Docs
Optimization Opportunities	Auto-detected insights for site and content improvements	Docs
Customer Configuration	Configure categories, topics, prompts, brand aliases	Docs
Optimize at Edge	CDN-layer optimizations without CMS authoring changes; Claude model support for content optimization	Docs
Agentic Traffic Dashboard	Monitor traffic from AI assistants and agents hitting your properties	New in 2026
Referral Traffic Insights	Track user clicks from AI citations, with model/platform change markers on charts	New in 2026
Adobe Analytics Integration	Connect Adobe Analytics to measure referral traffic and business impact (GA)	New in 2026

LLM Optimizer is part of Adobe's Brand Visibility solution (Summit 2026, linked under Announcements above) alongside Brand Concierge and LLM Apps.

Tutorials & Guides

Resource	Description	Link
Quick Start	Onboarding and initial setup guide	Docs
Best Practices	Strategic planning, onsite/offsite optimization, agentic traffic	Docs
Interactive Tour	Hands-on tour of Adobe LLM Optimizer	Demo
Why We Created LLM Optimizer	Product vision and use cases	Blog

Integration

• Native integration with AEM as a Cloud Service
• Optimize EDS sites for LLM visibility
• Configure CDN for AI agent traffic targeting

Use Cases:

• Improve brand citations in AI-generated answers
• Optimize content structure for LLM readability
• Track performance across ChatGPT, Google AI Overviews, Copilot, Gemini, Perplexity
• Automated optimization fixes via CDN edge deployments

Getting Started

1. Complete domain onboarding
2. Configure categories, topics, and prompts
3. Set up CDN log forwarding
4. Monitor brand presence dashboard
5. Apply optimization recommendations

The official documentation home is linked under Official Resources above.

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Edge Delivery Services AI

Official Documentation (aem.live)

Resource	Description	Link
Developer Tutorial	Get started with EDS in 10-20 minutes	Tutorial
AI Coding Agents	Guide to using Claude Code, Cursor, Codex, Gemini, Copilot, and Zed with EDS	Guide
llms.txt	AEM documentation optimized for AI consumption	llms.txt
Block Collection	Curated production-ready blocks	Blocks
CLI Reference	aem up, aem import commands	CLI
Block Party	Community-built blocks showcase	Block Party
Universal Editor Blocks	Blocks for UE authoring	UE Blocks

Adobe Helix Claude Skills

Official skills from the adobe/helix-website repository (linked under Claude Code Skills above):

Category	Skill	Description
Orchestration	content-driven-development	Complete workflow for building/modifying blocks
Orchestration	page-import	Orchestrates migrating webpages to AEM EDS
Functional	building-blocks	Core block development
Functional	content-modeling	Content schema definitions
Functional	testing-blocks	Block testing and validation
Functional	code-review	Code review workflows
Research	docs-search	Search AEM documentation
Research	block-inventory	Track available blocks
Research	block-collection-and-party	Find existing blocks
Import	page-decomposition	Break pages into components
Import	identify-page-structure	Detect page layout
Import	scrape-webpage	Web scraping utilities
Import	generate-import-html	HTML import generation
Import	preview-import	Preview imports

Installing Adobe Skills

# Install gh-upskill extension
gh extension install trieloff/gh-upskill

# Add Adobe EDS skills to your project
gh upskill adobe/helix-website

# Or install standalone
curl -fsSL https://raw.githubusercontent.com/trieloff/gh-upskill/main/install.sh | bash
upskill adobe/helix-website --all

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Development Tools

AI Grounding & Configuration

Essential files for grounding AI agents (Claude, Cursor, Copilot) in AEM Cloud Service project context.

File	Purpose	Description
AGENTS.md	AI Grounding	Markdown file at project root providing AEM/OSGi context to AI agents. Prevents hallucinations of legacy patterns.
.aem-skills-config.yaml	Metadata Storage	Config file for project-specific metadata (Java package, group ID) to ensure AI-generated code follows local conventions.
llms.txt	AI Documentation	AEM documentation formatted for AI consumption (linked under Edge Delivery Services AI above).

AEM Code Assessment IDE Agent

For AI-assisted IDEs (Cursor, Claude Code, Visual Studio, IntelliJ): detects and auto-fixes deprecated API usage, outdated Sling Model dependency injection, outdated Maven dependencies, missing HTTP call timeouts, and unbounded queries/schedulers/listeners (2026.7.0). See the current release notes linked under What's New above.

npm Packages

Official Adobe Packages

Package	Description	Install
@adobe/aem-cli	AEM/EDS CLI for local development	npm i -g @adobe/aem-cli
@adobe/aem-headless-client-js	AEM Headless SDK Client	npm i @adobe/aem-headless-client-js
@adobe/aem-import-helper	Helper tool for importing sites to AEM	npm i @adobe/aem-import-helper
@adobe/aem-upload	AEM Assets direct binary uploading	npm i @adobe/aem-upload
@adobe/aem-spa-page-model-manager	SPA Editor page model manager	npm i @adobe/aem-spa-page-model-manager

Development Tools

Package	Description	Install
aemsync	Code sync for Sling/AEM	npm i -g aemsync
aem-clientlib-generator	Creates AEM ClientLibs config files	npm i aem-clientlib-generator
aem-import-builder	AI capabilities for AEM import scripts	npm i aem-import-builder

CLI Commands

# AEM CLI - local development server with AI coding agents support
aem up

# AEM Project Archetype
mvn archetype:generate -DarchetypeGroupId=com.adobe.aem -DarchetypeArtifactId=aem-project-archetype

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Real-World Architecture Audit

To demonstrate the difference between "GenAI chat" and "Architectural Intelligence," we performed a live audit of the AEM WKND Reference Site Dispatcher configurations using the principles defined in this guide.

The Objective

Identify security vulnerabilities in the Dispatcher filter rules that a standard chatbot would miss, but a grounded AEM agent can detect.

Step 1: Automated Analysis

We ran the aemanalyser-maven-plugin (integrated via the dispatcher skill) against the wknd-test project.

# Executing the audit
mvn com.adobe.aem:aemanalyser-maven-plugin:analyse -pl dispatcher -am

Step 2: Findings (Critical Vulnerability Detected)

The audit identified a high-risk misconfiguration in dispatcher/src/conf.dispatcher.d/filters/filters.any:

Vulnerable Code:

# Rule /0201 in filters.any
/0201 { /type "allow" /url "/home/users/*.infinity.json" }

Architectural Impact:

Dimension	Impact
Vulnerability	The rule allows external access to user profile nodes via the .infinity.json selector
Risk	An attacker can crawl /home/users to dump sensitive user metadata, preferences, and potentially hashed credentials or PII
Compliance	Violates the AEM Cloud Service Security Checklist, which mandates that /home should never be exposed via Dispatcher

Step 3: Proactive Fix

A "really good" AI doesn't just report this; it provides the surgical fix:

# Recommended Fix: Restrict access to specific, non-sensitive pagedata only
/0201 { /type "deny" /url "/home/users/*" }
/0202 { /type "allow" /url "/home/users/*.token.json" } # If specific token exchange is needed

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Best Practices & AI Workflow

Guidelines for successfully integrating AI into your AEM development lifecycle.

Core Principles

Principle	Guidance
Ground the Agent First	Always ensure AGENTS.md is present at the root of your project so AI agents (Claude, Cursor, Copilot) understand they are working on an AEM Cloud Service Java/OSGi project
Use Specialized Skills Over General Chat	Prefer specialized instruction sets like create-component or dispatcher over general prompts; they encode multi-step Adobe best practices and mandatory file structures
Connect to the Runtime	Use MCP servers (AEM Quickstart and Dispatcher) to give your AI "eyes" into the running environment for debugging OSGi failures and request traces in real time
Iterative Component Creation	Provide a detailed dialog specification (field names, types, labels) to the create-component skill for a high-fidelity first draft
Verify Locally Before Deployment	Use the dispatcher skill and MCP server to validate configurations against your local Docker container before committing to Cloud Manager

Standard AI-Enhanced Workflow

Step	Action
1. Bootstrap	Run ensure-agents-md to initialize project context
2. Develop	Use create-component to scaffold backend and frontend code
3. Debug	Use aem-logs and diagnose-osgi-bundle via MCP to fix runtime issues
4. Harden	Use the dispatcher skill to audit security and performance
5. Refine	Use Generate Variations in the AEM Editor to polish copy and images

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Tutorials & Learning

Official Adobe Learning

Resource	Description	Link
Generative AI in AEM Sites	Video tutorial on GenAI features	Video
Agent Skills Setup	Configure agent skills for AEM projects	Docs
AI Component Development	Build AEM components with AI assistance	Docs

Hands-on Labs

Step-by-step tutorials for practical AI implementation in AEM.

Lab	Topic	Duration	Description
Lab 1	AEM MCP Server	20-30 min	Set up and configure AEM MCP Server for natural language AEM interaction
Lab 2	Experience Production Agent	25-35 min	Automate content operations using AI agents
Lab 3	Claude Code Skills	30-40 min	Enhance AEM/EDS development with AI skills
Lab 4	ACM MCP Server	30-40 min	Set up ACM MCP for Groovy script execution via AI

Quick Start:

git clone https://github.com/narendragandhi/awesome-aem-ai.git
cd awesome-aem-ai/tutorials

Certifications

• Adobe Certification Program - AEM Sites, Assets, and Developer certifications.

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Community Projects

Open Source

Project	Description	Stars
ACS AEM Commons	Community utilities for AEM
AEM Guides WKND	Sample AEM project
Helix Project Boilerplate	EDS starter template

Community Tools

Tool	Description	Link
AEM Groovy Console	Script execution for AEM	GitHub
AEM Block Collection	Curated EDS blocks	GitHub

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Videos & Presentations

Adobe Developers Live

Video	Description	Link
Building the Agentic Web	AEM Agents, Content AI Foundational - ADL 2025 Keynote	YouTube
Bringing Intelligence to Content in AEM	Content AI in AEM - ADL 2025	YouTube
Accelerate your Edge Delivery Tutorial	EDS Tutorial with AEM trial	YouTube
AEM Release 2026.03	Release overview with latest AI features	Video
AEM Release 2026.01	Release overview with latest AI features	Video
Brand Concierge at Developers Live	Enhance onsite experience with Brand Concierge	Video
AEM Release 2025.01	New AI features in AEM 2025.01	YouTube
AEM Release 2025.02	Content Fragment Auto Tagging, EDS features	YouTube

AI & MCP Tutorials

Video	Description	Link
Unlocking AEM's Potential with AI	AI integration in AEM - Agentic, GenAI, AI Assistant	YouTube
AI Assistant in AEM	Configuration and live demo	YouTube
AEM + MCP Integration	MCP for content, components, assets management	GitHub

YouTube Channels

• Adobe Experience League - Official Adobe tutorials and release updates.
• AEM Geeks - Community AEM tutorials.
• aem-live - Official Adobe AEM channel.

Webinars

• Monthly AEM Community Webinars - Recurring community sessions on Experience League.

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Related Awesome Lists

• Awesome AEM - Curated list of AEM/CQ5 resources.
• Awesome MCP Servers - MCP server collection.
• Awesome LangChain - LangChain resources.
• Awesome Claude Code - Claude Code skills, hooks, and tools.

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Contributing

Contributions are welcome! Please read the contribution guidelines first.

How to Contribute

1. Fork this repository
2. Create a new branch (git checkout -b feature/add-resource)
3. Add your resource to the appropriate section
4. Commit your changes (git commit -am 'Add awesome resource')
5. Push to the branch (git push origin feature/add-resource)
6. Create a Pull Request

Contribution Guidelines

• Ensure the resource is relevant to AEM and AI
• Provide accurate descriptions
• Include working links
• Follow the existing format

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_{Built with AI for the AEM Community · Licensed under CC0 1.0}