We dissect AI-era technologies, tools, and trends with a hardcore perspective. Focused on large models, agents, MCP, function calling, and hands‑on AI development. No fluff, no hype—only actionable insights, source code, and practical ideas. Get a daily dose of intelligence to simplify tech and make efficiency tangible.
Kimi K2.6, an open‑source Chinese LLM, outperforms GPT‑5.4 and Claude Opus 4.6 on SWE‑Bench Pro code tests, delivers 13‑hour uninterrupted coding, runs 300 parallel agents, and costs only one‑twentieth of comparable closed‑source models, while offering a trillion‑parameter MoE architecture and Apache 2.0 licensing.
The article defines OPC (One‑Person Company) as a solo founder backed by AI agents, presents data showing its rapid rise, explains why AI maturity, low startup costs, and supportive policies fuel its growth, compares it with traditional firms, outlines a nine‑layer tech stack, warns of common pitfalls, and offers a decision tree to assess personal suitability.
DeepSeek announced its first external financing, targeting at least $300 million at a valuation exceeding $10 billion, and the article analyzes the exploding compute costs, talent poaching, fierce competition, upcoming V4 model, fund allocation, and broader implications for China's AI industry.
The article dissects Claude Code Agent's four‑layer architecture—interaction, orchestration, execution, and infrastructure—explaining how the perpetual while(true) queryLoop drives LLM streaming, how StreamingToolExecutor enables safe concurrent tool execution, and how the autoCompact four‑stage compression with a circuit‑breaker safeguards context length.
An AI Agent is a large‑model system that can perceive its environment, plan steps, invoke tools, and remember past interactions to autonomously achieve user‑specified goals, distinguishing it from simple chatbots that only answer questions.
Claude Opus 4.7 raises SWE‑bench Pro accuracy from 53.4% to 64.3% (a +11 pp jump), triples visual resolution, can refuse or verify dubious instructions, and keeps pricing unchanged while increasing token consumption, positioning it as a more reliable AI colleague despite a slight dip in long‑document search.
The article dissects the MCP Client used by Claude Code, detailing its layered architecture, type system, connection protocols, caching strategies, tool discovery and conversion, authentication flow, lifecycle management, reconnection logic, and design decisions, illustrating how external tool servers are seamlessly integrated as internal Claude tools.
This article walks you through what Claude Code skills are, how they work, the four skill types, the exact file format, a step‑by‑step process for building your first skill, best‑practice design principles, testing methods, and ongoing maintenance, enabling you to automate repetitive AI tasks efficiently.
The article explains what AI is, traces its three historical waves—from rule‑based expert systems to statistical learning and deep learning—focuses on the current large‑language‑model era, surveys leading domestic and overseas models, and highlights key trends such as open‑source competition, reasoning capabilities, multimodality, and edge deployment.
This guide explains how to migrate Docker images by using the docker load/save commands for image‑level import/export and the docker import/export commands for container‑level import/export, detailing each command's options and providing concrete examples.
