#AI system architecture
5275 related articles
·3 min
What Are Agent Skills? A Complete Guide to AI Agent Skill System Architecture and Principles
A deep dive into AI Agent Skills: their core concepts, technical implementation, the four key elements (SKILL.md, references, scripts, assets), and how Skills differ from prompts.
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·3 min
What Are Agent Skills? A Detailed Guide to AI Agent Skill System Architecture and Principles
A deep dive into AI Agent Skills: understand the core concepts and technical implementation through the four key elements — SKILL.md, references, scripts, and assets — and learn how Skills differ from prompts.
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·3 min
How to Assemble a Modern Email System with Off-the-Shelf Components: A Modular Architecture Guide
Learn how to assemble a modern email system using off-the-shelf services like Postmark, SendGrid, and Amazon SES, covering sending, receiving, authentication, and trade-offs around vendor lock-in and cost.
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·3 min
AI Project Memory Systems: Building a Continuously Accumulating Context Architecture in Four Stages
As models get stronger, why does the experience feel worse? The root cause is missing context. This article breaks down four stages—project descriptions, progressive disclosure, intra-memory, and three guardrails—to build a sustainable AI project memory system.
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GitHub Daily · July 22: Financial Foun…
·3 min
GitHub Daily · July 22: Financial Foundation Model Kronos Leads, Architecture Visualization and the Claude Skills Ecosystem Soar
GitHub Trending July 22: Kronos brings the foundation model paradigm to finance, awesome-claude-skills tops with 70K stars, plus LikeC4 architecture-as-code and Rust-based Pumpkin.
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·3 min
From RAG to Agent: A Complete Architecture Guide for AI-Native Systems
A comprehensive guide to modern AI-native system architecture: LLM reasoning, three RAG paradigms (vector/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability for enterprise AI.
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·3 min
Files over Tools: Rethinking AI Agent Architecture with a Virtual Filesystem
Why give AI Agents a virtual filesystem and bash instead of more tools? A deep dive into the "Files over Tools" design philosophy, tool bloat, Unix principles, security sandboxing, and hybrid architectures.
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·4 min
AI Agent Memory System Architecture Breakdown: A Practical Selection Guide from 16 Open-Source Projects
Deep analysis of memory system architectures across 16 open-source AI Agent projects including Hermes, Goose, NanoClaw, and Deerflow, covering FTS5 vs vector search, multi-tenant isolation, and LLM auto-extraction.
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·3 min
Sakana AI Scientist v2 Deep Dive: Architecture and Practice of an Autonomous AI Research System
Deep dive into Sakana AI's open-source AI Scientist v2: technical architecture, core modules, and upgrade highlights covering the full autonomous research pipeline from idea generation to paper writing.
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·2 min
NVIDIA Halos Explained: Full-Stack Functional Safety System Architecture for Physical AI Robots
Deep dive into NVIDIA Halos for Robotics' full-stack functional safety architecture, covering hardware redundancy, safety runtime, behavior monitors, and how safety envelopes constrain AI uncertainty for scalable physical AI deployment.
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·2 min
Claude Code's Seven-Layer Architecture: A Complete Guide to Building an AI Operating System from a Chat Tool
A detailed guide to Claude Code's seven-layer architecture including memory, agent, and feedback loop layers, plus five pitfalls to avoid and four expert tips for building your AI operating system.
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Deep Dives·3 min
Deep Dive into Pi's Swarm System: A Biology-Inspired Multi-Agent AI Programming Architecture
Deep dive into Pi's swarm system architecture (26K GitHub stars): scout, worker, and soldier ant roles, pheromone communication, adaptive concurrency control, and how multi-agent collaboration revolutionizes AI programming.
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Tutorials·2 min
Deep Dive into OpenAI Codex Plugin System: Architecture, Installation, and Hands-On Development
Deep dive into OpenAI Codex plugin system architecture (Skills, Apps, MCP Server), four installation methods, and a macOS app development case study showing how plugins boost AI coding efficiency.
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Tutorials·2 min
OpenClaw Agent Architecture in Practice: Skills System Deployment & LangChain Reproduction Guide
Deep dive into OpenClaw's industrial-grade Agent architecture with its three-layer design, pluggable Skills system, and memory management. Includes a step-by-step LangChain reproduction guide with an enterprise HR assistant example.
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Tutorials·2 min
How Frontend Engineers Can Systematically Build AI Agent Architecture Skills
How frontend engineers can move beyond API calls to build production AI systems — covering streaming output, BFF layers, RAG pipelines, and Agent orchestration with LangChain.js/LangGraph.js.
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Tutorials·4 min
Building a Generative Recommendation System with Go and AI Agents: Architecture Design and Practical Analysis
Deep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
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·4 min
Infrastructure Architecture for Agent Applications: Four Core Patterns Explained
A deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.
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·4 min
Infrastructure Architecture for Agent Applications: Four Core Patterns Explained
Deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.
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·3 min
Domain Renewal Jumps from $10 to $3,000: Exposing Hover's Renewal Trap and How to Protect Yourself
A Hover user's domain renewal jumped from $10 to $3,000. Learn about premium domain pricing, registrar traps, and practical strategies to protect yourself.
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·3 min
Vendor C++ Toolchains Silently Swallowing Compiler Warnings: Risks and Prevention Strategies
Analysis of how chip vendor C++ toolchains silently suppress compiler warnings, the risks involved, and prevention strategies including cross-validation and static analysis.
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