Leveraging AI in AEM Cloud Service Development
Generic AI assistants can write AEM code, but they struggle to produce work that fits a real implementation’s conventions, structure, and quality bar, especially across the many artifacts a single component touches (dialogs, edit configs, Sling Models, HTL, styles, content policies, and more). This session shares hard won lessons from building a production grade library of AI Agent Skills for AEM Cloud Service development, centered on component authoring.
Whether you’re experimenting with AI in your AEM practice or ready to invest in building your own skill library, you’ll leave with concrete principles, a transformation roadmap, and a catalog of agent skills worth building first.
Key Takeaways:
Principles on how to get the most out of AI for AEM Cloud Service development
Strategies and tips for transforming your implementation to empower AI
AI Agent Skills to consider building for your own AEM implementation
At a glance
Product: Experience Manager
Series: The Skill Exchange
Role: User