Can AI agents help debug real enterprise software problems? In this video I put that to the test by using AI agents, instrumentation, MCP tools, automated tests, and Magento 2 to investigate and fix a performance issue that has been open since 2021.
Registry of Cursor plugins providing skills and rules for Hyvä themes, the Horizon storefront stack, and shared frontend foundations. Covers module scaffolding, Tailwind builds, Playwright tests, XSS best practices, and includes validation scripts and a GitHub Action to sync vendor skills.
Replaces the default admin dashboard with cached KPI cards, trend and status charts, low-stock alerts, and an AI insights/chat drawer. Covers setup, cron-based data collection, cache keys, and how to extend collectors and ML analyzers.
Adds instant search with typo tolerance, Hyvä-native autocomplete and results, zero‑downtime reindexing, visual category merchandising and synonyms, plus conversational search, vector-based recommendations, and an admin AI assistant. Includes CLI commands, cron/queue reindexing, and configurable indexing across products, categories, CMS pages, and suggestions.
Most Magento developers spend hours manually checking robots.txt, schema markup, and sitemap configurations.
Then they wonder why their store still doesn’t appear in ChatGPT or Gemini recommendations. There is now a faster way.
A library of LLM-ready skills and agents for Magento 2 / Mage-OS development, debugging, and hosting. Each file is a self-contained system prompt — paste it into any LLM to instantly give it deep Magento expertise.
Magector is a Model Context Protocol (MCP) server that deeply understands Magento 2 and Adobe Commerce. It builds a semantic vector index of your entire codebase.
ElasticSuite Behavioral is an advanced algorithmic merchandising engine for Adobe Commerce, designed to automate product ranking based on real user engagement.
A CLI tool that indexes a Magento 2 repository via static analysis and outputs an AI-ready context bundle — structured, queryable, deterministic, and immediately usable by AI coding tools like Windsurf, Cursor, or Claude.
MageSEO is a production-ready SaaS application that automates SEO metadata generation for Magento 2 product catalogs using a Writer-Auditor LLM pipeline. The system integrates with Google Gemini AI to generate meta titles, descriptions, and keywords while automatically detecting and flagging potential hallucinations before human review.