Introduction: From Local Assistant to Internet PlatformThis is the sixth installment of the Claude Code Mastery Guide. In the previous article, we configured an expert team for Claude Code. In this article, we'll equip it with external devices, transforming it from a local assistant into an internet-connected platform.A Vivid Analogy: Claude Code without MCP configuration is like a genius locked in a room.It's smart, efficient—capable of handling all the files you throw at it—but it can't reach anything in the outside world. You can't ask it...
Posts under the category AI & Machine Learning
When AI Agents Stretch Call Chains: Latency Becomes a Business Opportunity
The Hidden Cost of AI Agent DeploymentMany teams only truly realize the expensive nature of latency after their products go live. What appears to be a simple AI Agent request on the surface often conceals an entire execution chain operating behind the scenes. Rather than a single model invocation, the system orchestrates a complex sequence: the model first interprets the task, then calls various tools, reads data from multiple sources, performs additional reasoning, invokes external APIs, and finally generates the result presented to the use...
How I Distilled Myself Into an AI Skill: A Complete Open-Source Guide
The Rise of Personal DistillationHello everyone, I'm programmer Yupi. Recently, GitHub has witnessed a surge of "distillation" projects—but we're not talking about distilled spirits. We're talking about distilling people into AI skills.The trend has exploded with creative projects: colleague.skill, ex-partner.skill, Nuwa.skill (the Chinese goddess), boss.skill, and even self.skill. Various unusual distillation projects emerge endlessly, with everyone encapsulating people around them into AI skill packages.Some have distilled their departed c...
I Distilled Myself Into an AI Skill and Open-Sourced It
Hello everyone, I'm programmer Yupi.Recently, GitHub has witnessed a surge of "distillation" projects sweeping through the developer community. And no, this isn't about distilling alcoholic beverages—this is about distilling people into digital personas.Projects with names like colleague.skill, ex-partner.skill, nuwa.skill (referencing the Chinese goddess who created humanity), boss.skill, and self.skill have emerged one after another. Everyone is busy "encapsulating" people around them into AI skill packages. Some have distilled their depar...
When AI Agents Stretch the Call Chain, Latency Becomes a Business
Many teams only realize the true cost of latency after their product goes live.What appears to be a simple AI Agent request often involves not a single model invocation, but an entire execution chain behind the scenes: the model understands the task, calls tools, reads data, performs additional reasoning, invokes external APIs, and finally generates results. Users see only one response, but the system may have traveled back and forth between different services a dozen times.If each step adds just a bit of wait time, the cumulative result can...
Large Model Fundamentals (Part 1): What Is an LLM?
Part 1: The Concept of Large ModelsNowadays, AI has become indispensable in our work and daily lives. But do you know what the "large models" or "AI" we talk about daily actually are? I think we can explain this from both narrow and broad dimensions.When discussing large models, we often hear the concepts of "narrow large models" and "broad large models," representing different scopes of understanding about large models.Narrow Large Models: Specifically Referring to Large Language Models (LLM)In the narrow sense, large models typically speci...