#mini program data persistence
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·5 min
Multiway Turing Machines: A New Paradigm from Single Computation to Multiple Possibilities
An in-depth analysis of Wolfram's multiway Turing machines, exploring how computation expands from single paths to multiway graph structures, and deep connections to AI search algorithms and quantum computing.
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·3 min
Spring AI Alibaba Graph in Practice: Building a Full-Process HR Recruitment Agent
A detailed guide on building a full-process HR recruitment Workflow Agent with Spring AI Alibaba Graph, covering resume parsing, multi-dimensional screening, tiered questions, human-in-the-loop, and state rollback.
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·4 min
Gemini API in Practice: Building AI Agents with Files
Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.
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·5 min
Gemini API in Practice: Building AI Agents with Files
Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.
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·7 min
Getting Started with Claude Code: Five Dimensions to Understand Why It Outperforms Regular AI
Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with regular AI across five dimensions to help you decide if it's worth trying.
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·7 min
Getting Started with Claude Code: Five Dimensions That Show Why It Outperforms Ordinary AI
Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with ordinary AI across five dimensions: interaction, context, execution, memory, and tool calling.
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·8 min
LangChain Crash Course: A Complete Roadmap from Zero to Agent Development
A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.
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·6 min
Vue3 from Scratch: A Hands-On Journey to Building an AI Health Monitoring System
A Vue3 beginner tutorial centered on "learn just enough, apply immediately." A three-stage path covers reactivity, Composition API, Element Plus, and data visualization, culminating in an enterprise-grade AI health monitoring system with blood sugar management, RAG consultation, and doctor-patient collaboration.
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·7 min
From Chat to Agent Platform: A Practical Guide to Engineering AI Applications
A deep dive into engineering AI applications: from a simple chat page to a multi-layer Agent platform, covering RAG knowledge bases, Workflow scheduling, multi-model management, and run tracing.
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·6 min
30-Minute Hands-On: Building a Working AI Agent from Scratch
Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.
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·4 min
Vibe Coding in Practice: Ship an App from Idea to Live in 5 Steps with AI Tools
Use Google Stitch, AI Studio, AntiGravity, GitHub, and Vercel to go from idea to live app in 5 steps. A complete Vibe Coding walkthrough — minimal cost, no deep coding required.
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·3 min
GPT-5.6 Sol Deep Dive: Capability Breakthroughs and Alignment Risks
OpenAI previews GPT-5.6 with three variants — Sol, Terra, and Luna. Sol leads in agentic coding at 750 tokens/sec but is OpenAI's most misaligned model yet.
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·3 min
Enterprise AI Deployment: The Core Decision Between Ontology and Agent Architecture
A systematic guide to enterprise Ontology: its core value, tools like OntoFlow and FIBO, when to build one, and how to deploy business-domain-level AI Agents.
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·4 min
OpenAI Reveals Agent Sandbox Cloud: Design Philosophy from microVMs to Global Orchestration
A deep dive into OpenAI's Agent sandbox cloud architecture: the security evolution from Fork and containers to gVisor and microVMs, plus copy-on-write snapshots and global orchestration.
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·2 min
Building a Slack-Native Coding Agent: Architecture Design and Engineering Methodology
A deep dive into embedding a coding agent in Slack: core architecture, permission design, async task handling, and RAG context management for AI-powered dev workflows.
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·2 min
Spring AI in Action: A Complete Guide to LLM Integration for Java Developers
Spring AI is Java's answer to LangChain — offering unified multi-model APIs, structured output, RAG, Tool Calling, and MCP protocol support for enterprise LLM development.
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·6 min
A Deep Dive into OpenAI Codex: How AI Engineers Are Reimagining Software Development with Agents
OpenAI Codex is redefining how AI engineers work: from code completion to autonomous Agents, from single-threaded to parallel Value Maxing. A deep dive into the Codex App architecture, open ecosystem, and Manager of Agents practice.
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·3 min
Can MiniMax Serve as a Hermes Agent's Brain? A Complete V0.18 Evaluation
A hands-on test of MiniMax as an AI Agent brain using the Hermes V0.18 framework: fast inference, low cost, stable long tasks—but clear flaws in complex reasoning and tool calling. Learn its three strengths, three weaknesses, and best-fit workflows.
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·3 min
Langchain.js Agent Development: A Guide to Deconstructing the OpenClaw Engine Architecture
An in-depth analysis of AI agent development based on Langchain.js—comparing workflow agents and Agent Loops, deconstructing the TypeScript implementation path of an OpenClaw-like engine, covering structured output, MCP, and LangGraph.
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·6 min
AI Agent Development Learning Path: Four Stages from Zero to Hands-On Projects
A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.
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