#AI architect
5106 related articles
·3 min
AMD CDNA5 Architecture Deep Dive: Technical Evolution and the AI Computing Competition Landscape
Deep analysis of AMD's CDNA5 architecture covering Chiplet packaging upgrades, HBM memory evolution, and low-precision compute optimization, examining how AMD challenges NVIDIA's AI chip dominance.
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·5 min
The Five Stages of AI Agent Architecture Evolution: The Real Path from Model Calls to Production Runtime
Deep dive into the five evolution stages of AI Agent architecture: model calls, tool calls, workflows, Agent loops, and production runtime. Learn the responsibility boundaries and design principles.
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·3 min
Docker Containers vs Virtual Machines for Home Servers: How to Choose the Best Architecture
Docker containers vs VMs for home servers: compare resource usage, management, security isolation, and TrueNAS considerations to find the optimal Home Lab architecture.
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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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·4 min
The More Complex the AI Agent, the More It Hallucinates? The Hidden Cost of Architectural Complexity
Why do AI Agents hallucinate more as they grow more complex? This article analyzes the causes from error accumulation, context noise, and model completion nature, with 5 practical production strategies.
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·2 min
Deep Dive into Agent Skills Architecture: How to Extend AI Agent Capabilities
Agent Skills is a lightweight open-source format that extends AI agent capabilities with plug-and-play skill packages. This article dives deep into the Skills architecture, progressive disclosure, and how it differs from Multi-Agent design.
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·2 min
Deep Dive into Agent Skills Architecture: How to Extend AI Agent Capabilities
Agent Skills is a lightweight open-source format that extends AI agent capabilities via plug-and-play skill packages. Learn its architecture, progressive disclosure, and how it differs from Multi-Agent.
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·4 min
Vibe Coding in Practice: AI-Assisted Refactoring of a Unity Game's SO Architecture
Learn how to use Vibe Coding to collaborate with AI in refactoring a Unity game, introducing ScriptableObject (SO) data architecture, with hands-on tips.
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·4 min
Vibe Coding in Practice: Refactoring a Unity Game's SO Architecture with AI
A deep dive into refactoring a Unity game with Vibe Coding and AI, introducing ScriptableObject (SO) architecture—covering visual map editors, Codex remote control, and collaboration pitfalls.
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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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·6 min
The Three-Layer GTM Agent Architecture: Enabling AI to Truly Recognize Buyer Intent and Identity
An in-depth analysis of the three-layer GTM Agent architecture—the Signal, Buyer Intelligence, and Action layers—revealing how context graphs identify anonymous visitors and capture purchase intent.
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·4 min
Java Developer to AI Architect: A Three-Layer Capability Upgrade Roadmap
How can Java engineers transition to AI Architect? This article breaks down three core capability layers — AI app development, production RAG, and AI Agent orchestration — using Spring AI Alibaba and LangChain4j to turn your Java foundation into a competitive edge.
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·6 min
The AI Builder's Handbook: A Complete Guide to LLM Principles, RAG Architecture, and Agent Design
From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.
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·2 min
Voice AI Agent Architecture: Pipecat Flows vs Vapi Squad — A Deep Comparison
A deep comparison of Pipecat Flows and Vapi Squad for voice AI agent architecture — covering latency, accuracy, multi-agent handoffs, and when to use each.
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·3 min
AI Agent Development Landscape: From Architecture Design to Production Deployment
A systematic overview of the AI Agent tech stack: RAG retrieval, Agent planning, MCP protocol, AI Gateway, and observability — helping developers build production-grade AI systems.
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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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·2 min
AI Infrastructure or App Feature? The Architecture Debate Sparked by CogniCore
CogniCore asks: should persistent memory, context engines, and state management be standalone AI infrastructure or in-app features? A deep dive into 5 key directions and the missing middleware of the agent era.
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·2 min
GPT-Live Full-Duplex Voice Model: Listen While Speaking + Reasoning Delegation Architecture Explained
OpenAI's GPT-Live full-duplex voice model enables natural simultaneous conversation with a reasoning delegation architecture pairing real-time dialogue with GPT-5.5 deep reasoning. Now live for 150M users.
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·3 min
The Complete Guide to AI-Native Architecture: RAG, Agents, and MCP
A comprehensive guide to AI-native application architecture: LLM inference, RAG retrieval (vector DB/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability — end-to-end.
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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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