#session resume
126 related articles
·2 min
Getting Started with Claude Code: A Complete Guide to Installation, Configuration, and Git Workflows
An in-depth guide to Claude Code from installation to hands-on practice: CLI setup, switching to domestic LLMs (CC Switch tool), conversational Git workflows, plus project analysis and automated bug fixing tips for AI-powered coding.
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·2 min
Claude Code From Zero to Production: Installation, Switching to Chinese LLMs, and Git Workflow Guide
A complete guide to Claude Code: Node.js setup, CLI install, switching to Chinese LLMs with CC Switch, core commands, and conversational Git workflows with automated bug fixing.
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·2 min
The New Bar for AI/LLM Roles: A Practical Guide to Agent Observability and Evaluation
Enterprise AI/LLM roles now demand engineering skills: streaming recovery, high concurrency, multi-tenancy, LLM gateways, Langfuse observability, and evaluation platforms. Master these 8 core competencies.
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·3 min
Claude Code Getting Started: Installation, Switching to Chinese LLMs, and Git Workflow Guide
A complete guide to Claude Code: CLI installation, switching to DeepSeek and other Chinese LLMs via CC Switch, and conversational Git workflows for developers.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Topics in the Agent Domain
A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Agent Topics
A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.
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·4 min
Claude Code Getting Started: Environment Setup, Core Commands, and Git Workflow Automation
A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.
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·4 min
Vibe Coding for Beginners: 4 Pitfalls Every Non-Coder Must Avoid
New to Vibe Coding? Avoid these 4 beginner traps: unclear AI boundaries, oversized goals, wrong role mindset, and C drive overflow. Real tips for non-coders.
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·3 min
14 Days of AI Programming: From Zero to Product with Vibe Coding
A zero-to-product AI coding bootcamp by Guo Ke: 14 live sessions, 6 real projects, covering Cursor, Trae, and Codex. Full walkthrough from setup to deployment.
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·7 min
OpenAI Loses Over $100 Billion a Year: How the AI Cost Paradox Is Devouring Tech Giants
Leaked financials show OpenAI's -122% operating margin — losing money on every sale. MIT research reveals 95% of enterprise AI investments yield zero returns. A deep dive into the AI cost paradox.
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·3 min
Coze Deep Dive: Multi-Agent Collaboration Platform Architecture and Usage Guide
Deep dive into Coze's three core capabilities: multi-person multi-AI collaboration, customizable agents, and cross-platform project management. Covers credits, Dify comparison, and a practical learning path.
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·2 min
BrowserSkill: A Controlled Channel for AI Agents to Safely Borrow Your Logged-In Browser
Tencent's open-source BrowserSkill (BSK) lets AI agents reuse your real browser login state via a separate window, single-tab borrowing, and human takeover — safely and within clear boundaries.
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·2 min
Spring AI Alibaba Graph in Action: Build an HR Recruitment Workflow Agent from Scratch
Build a full HR recruitment Workflow Agent with Spring AI Alibaba Graph: résumé scoring, interview generation, Human-in-the-Loop, and state rollback across 20 technical concepts.
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·3 min
ASE Control Panel: How STATE_SYNC Tokens Enable AI State Persistence
A deep dive into ASE's core mechanism — the STATE_SYNC checkpoint token — and how it transforms stateless LLMs into stateful AI systems for complex multi-turn workflows.
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·4 min
LangChain + LangGraph Full-Stack in Practice: A Production-Ready Guide to Six Core Modules and Agent Deployment
A systematic breakdown of LangChain's six core modules (Models/Prompts/Chains/Memory/RAG/Agent) and LangGraph's state graph, persistence, and HITL — with production deployment tips.
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·3 min
AgentScope 2.0 Deep Dive: Six Core Upgrades for Production-Grade Multi-Agent Development
AgentScope 2.0 by Alibaba's Tongyi Lab delivers six major upgrades: typed event streaming, dangerous instruction interception, human-in-the-loop, concurrent execution, workspace system, and agent-as-a-service for production-grade multi-agent development.
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·5 min
How Can Working IT Professionals Learn AI Efficiently? A Practical Learning Path from Zero to Real-World Projects
Limited time but want to learn AI systematically? This guide maps out a practical learning path for working IT pros—from AI application engineering and prompt engineering to RAG and Agents.
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·3 min
ACL ARR Score Underwhelming? Should You Withdraw and Submit to a Workshop? A Practical Guide
Got a mediocre ACL ARR score but can't get into the main conference? This article breaks down the Rolling Review mechanism, analyzes the pros and cons of withdrawing to submit to the BlackboxNLP workshop, and offers actionable strategies for new PhD students.
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·4 min
A Complete Breakdown of the Engineering Challenges Behind RAG and Agent Interview Questions
Resume full of RAG and Agent but keep failing interviews? The issue is you only run demos and can't explain production engineering challenges. This article breaks down data cleaning, hybrid retrieval, hallucination protection, and agent loop breakers.
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·5 min
Building DeepSeek Agents and Knowledge Bases from Scratch: A Practical Guide to Commercial Deployment
A systematic guide to the full DeepSeek Agent development process: covering prompt engineering, the ReAct framework, workflow orchestration, local deployment, and business requirement breakdown for commercial-ready AI Agents.
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