#Loop architecture
2383 related articles
Agentic Loop Explained: The Three-Loop…
·2 min
Agentic Loop Explained: The Three-Loop Architecture of Reasoning, Tool Use, and Orchestration
A deep dive into the Agentic Loop — breaking down the three-layer architecture of reasoning, tool use, and orchestration to help developers build and debug reliable AI agent systems.
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·4 min
Deep Dive into Hermes Agent Architecture: Loop Mechanism, Memory System, and Gateway Design
Deep dive into Hermes Agent's core architecture: Agent Loop mechanism, three-layer memory system (Markdown/SQLite/external), Gateway multi-platform integration, context compression, and Cron jobs.
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·2 min
What Is AI Loop? The Paradigm Shift from Agents to Loop-Based Architecture
Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.
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·3 min
Claude Code Architecture Deep Dive: ReAct Loop, Context Window & CLAUDE.md Mechanism Explained
Deep dive into Claude Code internals: ReAct Loop execution cycle, 200K sliding context window, and CLAUDE.md persistent anchor — with architecture diagrams and Token optimization tips.
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·3 min
Loopcraft Explained: Loop-Stacking Architecture Design in AI Agent Development
Deep dive into Loopcraft loop-stacking architecture for AI Agent development, covering retry, self-validation, and meta-learning loops to boost reliability.
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Tutorials·4 min
Claude Code Agent Architecture Source Code Deep Dive: Agent Loop and Tool System in Practice
Deep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
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Tutorials·2 min
Deep Dive into Claude Code's Seven-Layer Architecture: Source-Level Analysis of the ReAct Loop and Configuration-Driven Design
Deep analysis of Claude Code's seven-layer architecture, ReAct loop core principles, and configuration-driven design. Source-level deconstruction of AI Agent mechanics with best practices.
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Tech Frontiers·1 min
SGLang Hosts Agent Loops Office Hour, Focusing on Agentic Loop Architecture Optimization
SGLang team hosts an Agent Loops Office Hour exploring inference optimization for agentic loops, covering KV Cache reuse, low-latency multi-turn dialogue, and tool calling techniques.
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Industry Insights·1 min
Claude Code Architecture Deep Dive: Why a Single-Loop Design Beats Multi-Agent Systems
Deep dive into Claude Code's architecture: single-loop control, no RAG, 9,400-token tool prompts, and model tiering. The minimalist design behind a $1B AI coding tool.
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Tutorials·1 min
50K RMB AI Character Dialogue Platform Architecture: Prompt Orchestration + Streaming Conversation + Billing Loop
Deep dive into a 50K RMB AI role-playing dialogue platform architecture covering Prompt orchestration, streaming conversation state machines, and AI billing closed loops.
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·2 min
How Much Work Can You Delegate to AI Agents? A Complete Guide to Delegation Boundaries and Trust Strategies
Explore AI agent delegation boundaries: from code completion to autonomous agents across three levels, analyzing verifiability, error costs, and context to build pragmatic trust strategies.
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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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·4 min
Full Anatomy of AI Agent Intrusion Attack Chains: From Prompt Injection to Data Exfiltration
Deep analysis of Hugging Face's frontier lab AI agent intrusion report, covering indirect prompt injection, lateral movement, data exfiltration, and defense-in-depth strategies for AI agent security.
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·3 min
Complete Guide to Running Claude Code with Ollama: API Error Troubleshooting & Local Model Optimization
Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.
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·2 min
Severe Lag in Gemini Web App During Long Conversations Drives Users to AI Studio
Google Gemini web app suffers from severe lag in long conversations, history loading failures, and content loss. Users are switching to Google AI Studio for a more stable AI experience.
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·2 min
Real User Feedback: Claude Opus 5 vs Gemini 3.1 Pro — Does Speed Determine the Experience?
A Reddit user's hands-on comparison of Claude Opus 5 vs Gemini 3.1 Pro reveals that response speed and interaction fluidity may matter more than raw intelligence in choosing an LLM.
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·3 min
Verification Browser for AI Agents: How 13ms Ultra-Fast Validation Solves the Trust Problem in Automation
Deep dive into the verification browser for AI agents: how 13ms verification windows and one-call checks solve hallucination problems in browser automation, enabling the leap from capability to trustworthiness.
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·3 min
Long Documents Don't Work: Why AI Agents Can't Follow Your Rules
Analysis of why AI Agents can't reliably follow long policy documents, covering context dilution, rule conflicts, and soft constraint limitations, with more reliable governance architectures.
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·3 min
Starling Project Analysis: Can AI Independently Write a Complete Desktop System?
Starling claims to be the first desktop system written by AI. This article analyzes technical complexity, AI coding limitations, and engineering feasibility.
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