SDLC Transformation with AI
Localization Bootstrap Skill
Agentic skill that ensures a UI project is properly instrumented and setup for localization, and all texts are passed through translation.
Automated Code Review & Fix Implementation with AI Agents
Watch two AI skills work together in the agent chat to handle the full code review lifecycle. /review-pr analyzes a pull request by dispatching specialized analyst agents in parallel — covering code quality, security, accessibility, performance, AEM patterns, and test coverage — then posts a unified review with inline comments on GitHub. /implement-review-findings picks up those findings, applies fixes with test verification, commits to the PR branch, and resolves every review thread. From review to resolution, all from a single chat window.
Git: https://github.com/Adobe-AEM-Sites/aem-cursor-toolkit
Demo: Automated Code Reviews
Remote agentic code review using GH Actions
Presenting two approaches when it comes to AI remote code review using GH Actions and Claude.
One is using the code review skill from the team’s unified AI Native Workspace.
The second is leveraging the AI review kit from the Experience Success skills.
Just create a PR on the repo and the ask the agent ( /review comment) and let it do the magic.
Git: Review Skill,
ESO Repo with the GH Action agent enabled
Demo: Link
AI-driven migration from Commerce Classic to Headless PIM
Migration of Commerce Classic implementations to a Product Information Management using headless AEM, compatible with CIF, developed spec-based with AI. The compatibility tests and clear contracts of CIF offered the right context for AI ( in demo after second 13:20 )
LLM Optimizer
UI Native Offsite Opportunities
NEW UI Native for Offsite opportunities Reddit, Youtube, TopCited analysis
Customers: a.com
AEM Sites Omnichannel
Publishing Visual Content Fragments
Visual Content Fragments can be included in EDS, Cloud Service or any webpage
Figma CF Visualizer Improvements
We’ve significantly improved the reliability and performance of the Figma CF Visualizer agent by making the workflow fully deterministic. Instead of relying on the LLM to decide each step, orchestration is now handled directly in code—eliminating skipped steps and inconsistencies.
Additional enhancements include improved Figma-to-HTML extraction.
Result: up to 10x faster execution and much more predictable outputs.
Demo: Figma CF Visualizer.mov
Content Management Agent
Manages Content Fragments at scale through natural language. Describe what you want to change - update fields, find and replace text, delete or copy - and the agent figures out the scope, shows you what it found and works through it in batches with your approval at every step. A launch is created automatically before destructive changes so nothing is permanent until you're ready. Every operation reports back visually: what changed, what failed, what was skipped.
Demo: CMA launches renderer
AEM Sites Optimizer
Code auto-optimize validation pipeline automation
We're increased our coverage by 28% with our latest finetuning process. We've run the pipeline for Okta and Redtag CS customers and we've managed to have 57% and 83% issue resolution respectively, for the specific a11y issues we're targeting.
We have added the following automations to the A11y autofix pipeline (local) through scripts/skills: Agentic review, Mergic, RV/CM deployment - fully automated
Customers: Okta, Redtag
Demo: A11y autofix demo.mp4
Web Performance Trends is now GA!
- Web Performance Trends are a set of reports for both Mobile and Desktop that offer visibility of how the URLs are behaving in terms of Good, Needs Improvement or Poor web performance and how they trend for the last 28 days.
- Also, for each URL we are showing the Web Performance metrics and business metrics in comparison with last week. They can be filtered by path or by type of issue and metric affected.
- These can now be enabled through the Spacecat Bot Commands.
Demo: demo-wpt-ga.mp4