https://github.com/easingthemes/easingthemes
https://github.com/easingthemes/easingthemes
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/easingthemes/easingthemes
- Owner: easingthemes
- Created: 2026-03-28T16:31:55.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2026-03-28T16:55:58.000Z (3 months ago)
- Last Synced: 2026-03-28T18:32:53.469Z (3 months ago)
- Size: 4.88 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# I build agentic workflows for enterprise platforms.
AI agents that operate Adobe Experience Manager — not as demos, but as production systems running across 100+ markets and serving millions of users.
**1,300+ GitHub stars · 3 Adobe-distributed SDKs · 57 MCP tools · 78 AI skills**
## What I actually do
I make enterprise platforms operable by AI agents. That means building the protocol layer (MCP servers), the orchestration layer (multi-agent workflows), and the autonomous execution layer (24/7 pipeline agents) — all designed for the constraints enterprises actually have: governance, multi-environment deployments, team-scale coordination.
My systems handle the full development lifecycle autonomously: requirements analysis → implementation planning → code generation → multi-phase verification → PR creation. One command. No re-explaining the project each session.
## Production usage
This isn't research or prototyping:
- **100+ market AEM platform** — agentic workflows operating across a multi-market content platform
- **Millions of users** — systems deployed in high-traffic enterprise e-commerce environments
- **Autonomous pipeline agents** — AI agents running 24/7 as Azure DevOps pipelines, triggered by webhooks, producing verified PRs without human intervention
- **Multi-agent orchestration** — Opus for deep review, Sonnet for execution, Haiku for lookups — tiered by task complexity
## What I build
Years of open source and internal enterprise tooling — from UI components and developer utilities to deployment automation and platform SDKs. Recently shifted focus to agentic workflows:
### [AEM MCP Server](https://github.com/easingthemes/aem-mcp-server)
The protocol layer. 57 MCP tools that give AI agents direct access to AEM — JCR content, components, dialogs, page operations. The interface between LLMs and enterprise CMS.
### [dx-aem-flow](https://github.com/easingthemes/dx-aem-flow)
The orchestration layer. 78 skills, 13 agents, 3 plugins running identically across Claude Code, GitHub Copilot CLI, and VS Code Chat. Full development lifecycle from ticket to PR — config-driven, never hardcoded. Includes autonomous agents for DoR/DoD validation, code review, bug fixing, and QA.
### [ssh-deploy](https://github.com/easingthemes/ssh-deploy)
GitHub Action for SSH deployments. 1,300+ stars, 162 forks, 57 releases. Used across thousands of CI/CD pipelines.
### [Mocker](https://github.com/easingthemes/mocker)
Zero-config Node.js mock API server with web GUI. File-based endpoint management, dynamic path parameters, response variations. Built to unblock frontend teams waiting on backend APIs.
### [fe-build](https://github.com/nicklasnetcentric/fe-build)
All-in-one frontend toolchain for AEM projects. Standardized build processes adopted across Netcentric, setting company-wide frontend standards.
### [@adobe/aem-headless-client-js](https://github.com/adobe/aem-headless-client-js)
Lead contributor to Adobe's official AEM Headless SDK for JavaScript/Node.js.
## Technical focus
- **Agentic workflows** — LLM + tools + structured execution, not chatbots
- **MCP (Model Context Protocol)** — building the interface layer between AI agents and enterprise systems
- **Enterprise AI constraints** — governance, verification gates, multi-environment deployments, team coordination
- **CI/CD and developer infrastructure** — deployment automation, pipeline design, developer tooling
- **AEM platform engineering** — deep specialization in making Adobe Experience Manager AI-operable
## Speaking & writing
- **[adaptTo() 2023](https://adapt.to/speakers/dragan-filipovic)** — "AEM Headless: A Glimpse of Developer Tools" (Europe's leading AEM conference)
- **[Frontend Coffee Break](https://frontend.coffee)** — Podcast Episode #25: "Open Sourcing Our FE Build"
- **[Netcentric Blog](https://www.netcentric.biz)** — "AI-Driven Code Generation: AEM Component Development from Figma" (2025)
- **Multiple internal/client talks** — AI-enabled development, AEM headless, frontend architecture (audiences up to 200+)
## Direction
Expanding the surface area of what AI agents can operate in enterprise environments. More MCP servers, deeper orchestration, more autonomous pipelines. The goal: enterprise development workflows where AI agents handle execution end-to-end, with humans setting direction and reviewing output.
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**Berlin** · [@draganfill](https://twitter.com/draganfill) · [LinkedIn](https://www.linkedin.com/in/draganfilipovic/) · [frontenddot.com](https://frontenddot.com)