EY Managing Director building production AI systems. 15+ years of enterprise software (.NET, Azure, clean architecture), now focused on agentic AI, MCP protocols, and developer tooling that ships.
I write practitioner-depth articles on enterprise AI at matthewkruczek.ai and build the tools I write about.
| Project | What it does |
|---|---|
| Claude Code Mastery | The definitive Claude Code skill: CLAUDE.md engineering, MCP servers, agent teams, hooks, CI/CD |
| Claude Code Reviewer | Explains AI session changes as a cohesive story (WHY not just WHAT) in a self-contained HTML report |
| Claude Code SDLC | Plugin that orchestrates the full SDLC lifecycle using company-configurable profiles |
| Nexus | Cross-project intelligence layer for Claude Code |
| Claude Model Switcher | Intelligent HTTP reverse proxy that routes Claude API requests to optimal models |
| Microsoft Agentic Harness | Enterprise agent framework: skills, MCP, and tools system modeled after Claude Code |
I also maintain Claude Code skills for security review, TDD workflow, presentations, LLM cost optimization, and critical analysis.
Weekly practitioner-depth articles on enterprise AI. Not what sounds good in a pitch deck, but what actually works when you try to build it.
Current series: AI Readiness Playbook, a 9-part guide to building enterprise AI capability
Recent topics: agent architecture and MCP, context engineering, AI executive sponsorship, why most AI pilots fail and how to fix them.
All 31+ articles at matthewkruczek.ai โ
15+ years building enterprise software: .NET, Azure, clean architecture, the full stack. Now I spend most of my time where AI strategy meets hands-on building. The gap between "AI strategy" and "AI that works" is a tooling problem, and I'm building my way across it.
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