#context summarization
389 related articles
·4 min
AI Full-Stack Development Architecture: A Three-Layer Progressive Path from Prototype to Production
A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.
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·4 min
Complete Guide to Commercial AI Agent Development: From Requirements Analysis to Production Deployment
Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.
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·2 min
Nemotron 3 Ultra Arrives on Perplexity: How Strong Is NVIDIA's Open-Source Model?
NVIDIA's open-source model Nemotron 3 Ultra launches on Perplexity for Pro and Max users. Explore its technical strengths, Perplexity's aggregation strategy, and the win-win path for open-source AI commercialization.
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·3 min
Codex VS Claude Code: The Token Economics Behind a 10x Price Gap
Same coding task: Codex costs $15, Claude Code costs $155. Deep dive into the real reasons behind the 10x gap — it's not pricing, it's token volume, output style, and context strategy.
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·3 min
Key Takeaways from Andrew Ng × OpenAI's Prompt Engineering Course: Two Core Principles Explained
Deep dive into Andrew Ng & OpenAI's ChatGPT Prompt Engineering course: Base LLM vs instruction-tuned models, two core prompting principles, and API-first development thinking for developers.
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·3 min
AI Agent Core Architecture Breakdown: From Concept to Enterprise-Grade Intelligent Agent Development
Deep dive into AI Agent architecture: perception, brain, and action modules. Covers RAG memory systems, tool calling mechanisms, Chain of Thought reasoning, and enterprise agent development roadmap.
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·2 min
Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python
Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.
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·3 min
AI Large Language Models Explained: Transformer Architecture & Practical Testing Guide
Deep dive into AI large model principles, from Transformer architecture to probabilistic inference, with practical guidance on LLM applications in testing and AI testing strategies.
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·3 min
What Is Dify? Core Features and Getting Started Guide for the Open-Source AI Application Platform
A deep dive into Dify, the open-source AI app development platform — covering core features, Coze comparison, enterprise use cases, and a learning roadmap.
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·3 min
Career Transition Guide for AI Product Managers: Pick the Right Track Across Three Industry Layers
A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.
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·4 min
Claude Fable 5 Hands-On Review: Crushes GPT 5.5, But the Cost Is Brutal
In-depth hands-on review of Claude Fable 5's coding capabilities through full-stack and long-form complex tasks, comparing performance, costs, and use cases vs GPT 5.5 and Opus 4.8.
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·3 min
Codex vs Claude Code: The Truth Behind the 10x Bill Difference & a Practical Selection Guide
Same coding task: Codex costs $15, Claude Code costs $155. The 10x gap isn't in unit price — it's in token usage. A practical guide to choosing the right AI coding tool by scenario.
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·4 min
The Complete Guide to Claude Desktop: 15 Core Features & 9 Money-Saving Tips
Deep dive into Claude Desktop's Chat, Cowork & Code modes, Skill system setup, 8 automation workflow examples, and 9 practical tips to dramatically save Tokens.
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·3 min
n8n from Beginner to Expert: A Complete Guide to Workflow Automation and AI Agent Development
A deep dive into n8n's workflow automation capabilities, covering its 500+ node ecosystem, AI Agent development, RAG system building, and practical tips for use in different regions.
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·3 min
n8n Workflow Platform: A Practical Guide to Automation Orchestration and AI Agent Development
A deep dive into n8n's open-source workflow automation platform, covering AI Agent, Chain nodes, Tool nodes, and a complete guide to building RAG knowledge base Q&A systems.
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·3 min
OpenAI Realtime API Deep Dive: Use Cases, Technical Challenges, and Industry Trends
Deep dive into OpenAI Realtime API's core capabilities and developer ecosystem, covering use cases like smart customer service, language learning, and real-time translation, plus technical challenges and industry trends.
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·2 min
Apple Intelligence Is Taking Too Long, and Users Are Running Out of Patience
Apple Intelligence has been slow to roll out since WWDC, leaving users frustrated. With Google Gemini and Samsung Galaxy AI racing ahead, Apple's cautious strategy risks becoming a competitive liability.
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·2 min
Fable 5 Released: An AI Coding Tool Built for Complex Software Engineering
Fable 5 officially launches, targeting high-complexity software engineering with five core capabilities: code review, architectural reasoning, large-scale project planning, multi-step task orchestration, and high-stakes engineering support.
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·4 min
Complete Guide to Coze Platform: Building AI Agents Without Code
In-depth guide to ByteDance's Coze AI platform: core advantages, domestic vs. international versions, agent and app development modes explained for building AI agents without code.
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·3 min
Claude Code Context Management in Practice: The Five-Layer Backpack and Token Optimization Principles
Deep dive into Claude Code's context mechanics: the five-layer backpack structure, 200K Token boundaries, three optimization strategies, and sub-agent isolation to cut Token costs and prevent AI degradation.
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