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Full-stack developer turned AI engineer, building agentic systems and developer tooling in Calgary. I work with Elixir/Phoenix, TypeScript, and Python — and spend a lot of time thinking about how AI agents should be structured, controlled, and actually shipped. Writing about agentic coding pipelines, AI infrastructure, and the messy reality of building with LLMs.
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This isn't a zero-sum game or a choice of one over the other. They solve different layers of the developer experience: MCP provides a standardized, portable interface for external data/tools (the infrastructure), while Skills offer project-specific, high-level behavioral context (the orchestration). A robust workflow uses MCP to ensure tool reliability and Skills to define when and how to deploy those tools.