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168 related articles
·3 min
Save 80% Tokens with Claude Code: Headroom vs RTK vs LinCTX Deep Comparison
Deep comparison of Headroom, RTK, and LinCTX—three open-source context compression tools. Real tests show 80% token savings in Claude Code sessions.
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Firestore Enterprise Text Search: A Gu…
·2 min
Firestore Enterprise Text Search: A Guide to Implementing Real-Time Search in React
Learn how Firestore Enterprise's native text search works with React Hooks to build real-time search — covering debounce, state management, and more.
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·4 min
5 Viable Paths to Making Money Independently with Python
5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.
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Tutorials·3 min
The Complete Guide to Hermes Agent: Building a Self-Evolving AI Assistant from Scratch
Complete guide to Hermes Agent's five core pillars: Memory, Skills, Soul, Crons & self-evolution. Covers VPS deployment, Telegram setup, security management & best practices for building an AI assistant that grows stronger over time.
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Product Reviews·4 min
Generic Agent: An Open-Source AI Agent That Uses Only One-Tenth the Tokens of Comparable Products
Generic Agent is an open-source AI Agent that reduces token consumption by 90% through minimalist tool design, four-layer memory hierarchy, and experience reuse. Supports computer operation, browser automation, Feishu integration, and more.
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Tutorials·4 min
Building an Independent E-commerce Site from Scratch with Codex: WordPress + Next.js + Cloudflare in Practice
Senior developer Zhai Lujia demonstrates building an overseas e-commerce site from scratch using OpenAI Codex with Headless WordPress + Next.js + Cloudflare Worker architecture, covering AI collaboration methods and agents.md strategies.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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Deep Dives·4 min
Core Principles of the Transformer Architecture: A Deep Dive into Self-Attention Mechanisms and Engineering Optimizations
Deep dive into Transformer architecture covering self-attention QKV mechanics, Encoder-Decoder structure, Flash Attention memory optimization, RoPE positional encoding, and GQA inference acceleration.
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Tutorials·3 min
Can You Really Transition to AI/LLM in Three Months? A Deep Dive into the Learning Roadmap
Deep dive into a popular 3-month AI/LLM transition roadmap: from Python basics and Prompt engineering to LangChain, RAG, Agents, and hands-on projects, with realistic time estimates and pitfall warnings.
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Product Reviews·3 min
Ruflo: A Multi-Agent Orchestration Solution That Turns Claude Code into a 100-Person AI Team
Ruflo is an open-source multi-agent orchestration platform that upgrades single-threaded Claude Code into a distributed AI dev team with 100+ specialized Agents and a SANA self-learning engine.
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Tech Frontiers·3 min
Generic Agent: A Self-Evolving AI Agent Built with Just 3,000 Lines of Code
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
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Tutorials·4 min
Codex Team Reveals a New AI Programming Paradigm: Organizational Skills Replace Coding Skills
OpenAI's Codex team shows AI programming now prioritizes organizational skills over coding. Learn the four paradigm shift signals, efficient workflows, and how developer roles are being reshaped.
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Tutorials·2 min
Open-Source MCP Tool: A Definitive Solution to AI Coding Hallucinations
Explore the open-source MCP tool with 20K+ GitHub Stars that eliminates AI coding hallucinations by fetching real-time official docs for Cursor and VS Code.
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Tutorials·2 min
npcpy: An Open-Source Framework That Rethinks AI Agent Development with Software Engineering Principles
Deep dive into npcpy's four-layer architecture, multi-agent collaboration, knowledge graph lifecycle management, and deployment strategies for building stable, controllable AI Agent systems.
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Tutorials·3 min
From Programmer to Agent Developer: A Detailed Four-Stage Learning Roadmap
A systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
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Tutorials·3 min
LLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Industry Insights·1 min
AI Agent Developer Toolchain: Code Search, Diff Viewing & K8s Config Generation in Practice
Deep dive into AI Agent developer tools: Symbol code search saves 98% Tokens, plus Filess AMD local notes, K8s config generation, and more practical tools.
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Industry Insights·2 min
2025 Go Developer Survey Results: A Deep Dive into Satisfaction, Use Cases, and Challenges
Deep dive into the 2025 Go Developer Survey: developer satisfaction, cloud-native and AI use cases, error handling and generics challenges, IDE and AI tool trends.
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Tutorials·1 min
CodeGraph Tested: How Code Knowledge Graphs Cut Token Consumption by 90%
Hands-on testing of CodeGraph: build GraphRAG code knowledge graphs via AST parsing without AI, cutting Claude Code query time from 6 min to 2 min and slashing token usage by 90%.
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Tutorials·2 min
Zicoder's Three-Layer Search Architecture: Code Retrieval Design Practices in Agentic Coding
Deep dive into Zicoder's three-layer search architecture for agentic coding: AST-based semantic retrieval, Trigram full-text search, and autonomous agentic search for RAG in AI programming.
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