Most Engineering Teams Are Building the Wrong Thing
Why your 3-month tool build just got replaced by a Markdown file, and what winning teams do differently.
Welcome to my corner of the internet where I share thoughts on AI, language models, the Model Context Protocol (MCP), and the future of technology.
As a Principal Software Engineer at Microsoft working on agentic operating systems, I’m deeply involved in the intersection of traditional systems programming and cutting-edge AI capabilities. Here, I explore what happens when AI meets OS-level architecture, share lessons learned from implementing AI features at enterprise scale, and discuss the broader implications for how we build software.
What You’ll Find Here
- Deep technical insights on building AI-native systems
- Practical perspectives on the Model Context Protocol (MCP) and agentic frameworks
- Real-world experiences from enterprise-scale AI implementation
- Thought leadership on the future of developer tools and workflows
- Honest discussions about the challenges and opportunities in AI engineering
Recent Posts
Stay tuned for upcoming content on agentic systems, MCP development, and the evolving landscape of AI-powered operating systems.
Building the future of AI-native computing, one system call at a time.
Recent Posts
McpExtract: Static Analysis for MCP Training Data
How static analysis solves the training data extraction problem for Model Context Protocol tools.
The Case for Artisanal Code in an AI World
Why handcrafted code still matters when AI can generate thousands of lines in seconds.