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21 articles

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May 26, 2026 · Artificial Intelligence

What Hidden Secrets Does the Agent’s System Prompt Code Reveal?

This article dissects OpenClaw's agent architecture, detailing how the System Prompt, Skill modules, and Agent Loop interact, explaining PromptMode variations, safety rules, tool definitions, skill loading pipelines, heartbeat handling, sub‑agent spawning, silent replies, and the context engine that assembles messages for LLMs.

Agent LoopContext EngineHeartbeat

0 likes · 17 min read

What Hidden Secrets Does the Agent’s System Prompt Code Reveal?

Old Zhang's AI Learning

May 23, 2026 · Artificial Intelligence

The Underrated Lifesaving Template for Qwen Local Deployment

This article analyzes the hidden pitfalls of Qwen's official Jinja chat template, explains how the community‑maintained Qwen‑Fixed‑Chat‑Templates v19 fixes rendering errors, KV‑Cache loss, token waste and agent dead‑locks, and provides step‑by‑step installation instructions for LM Studio, llama.cpp, vLLM and MLX.

Agent LoopChat TemplateKV Cache

0 likes · 10 min read

The Underrated Lifesaving Template for Qwen Local Deployment

ZhiKe AI

May 9, 2026 · Artificial Intelligence

Why Agent Loops Matter More Than Raw Model Power

The article explains how AI agents that operate in a reasoning‑action‑observation loop outperform single‑shot LLM inference by continuously observing, planning, and correcting errors, illustrated through a ticket‑booking example and detailed analyses of ReAct, Plan‑Execute, OODA, and Steering Loop architectures.

AI agentsAgent LoopLLM

0 likes · 15 min read

Why Agent Loops Matter More Than Raw Model Power

dbaplus Community

May 2, 2026 · Artificial Intelligence

Inside Claude Code: A Deep Dive into Its Powerful Agent Architecture

This article provides a comprehensive technical analysis of Claude Code, covering its project scale, two‑layer agent loop design, five design principles, tool system architecture, fine‑grained permission model, multi‑agent collaboration strategies, context‑engineered system prompts, and a custom React‑based terminal UI, all illustrated with concrete code excerpts and diagrams.

AI agentAgent LoopClaude Code

0 likes · 38 min read

Inside Claude Code: A Deep Dive into Its Powerful Agent Architecture

java1234

Apr 29, 2026 · Artificial Intelligence

What Exactly Is an AI Agent and How Does It Differ from a Chatbot?

The article explains that an AI Agent combines a large language model, a clear goal, and callable tools in a multi‑step reasoning loop, detailing its perception‑plan‑act architecture, differences from plain chat, common misconceptions, and practical questions for evaluating such systems.

AI agentAgent LoopLLM

0 likes · 8 min read

What Exactly Is an AI Agent and How Does It Differ from a Chatbot?

AI Architecture Hub

Apr 22, 2026 · Artificial Intelligence

Build a Minimal AI Agent Loop in 30 Minutes and Turn It into a Stable Production System

This article walks through constructing a tiny, runnable AI agent loop that reads a user task, lets the model choose the next step, calls a tool, feeds the observation back, and repeats, then explains how to add harness, memory, permission, and validation layers to make the agent reliable in real‑world engineering environments.

AI agentAgent LoopHarness

0 likes · 30 min read

Build a Minimal AI Agent Loop in 30 Minutes and Turn It into a Stable Production System

Architect

Apr 20, 2026 · Artificial Intelligence

Why a Tiny Agent Loop Exposes the Real Engineering Hurdles of AI Agents

The article walks through building a minimal 20‑line agent loop, explains each step—from reading a task to invoking tools and feeding observations back—then shows how real systems like Claude Code, OpenClaw and Pi add layers of harness, memory, permission and validation to make the loop safe and reliable in production.

AI agentAgent LoopFunction Calling

0 likes · 23 min read

Why a Tiny Agent Loop Exposes the Real Engineering Hurdles of AI Agents

James' Growth Diary

Apr 18, 2026 · Artificial Intelligence

Inside Claude Code: What 510,000 Lines of TypeScript Reveal About AI Agent Architecture

The article dissects Anthropic's open‑source Claude Code—an AI coding agent built on half a million lines of TypeScript—by walking through its agent loop, tool registry, permission system, context‑window management, hierarchical CLAUDE.md configuration, and comparing its agent‑first design to IDE‑first tools like Cursor.

AI agentAgent LoopCLAUDE.md

0 likes · 20 min read

Inside Claude Code: What 510,000 Lines of TypeScript Reveal About AI Agent Architecture

Old Zhang's AI Learning

Apr 13, 2026 · Artificial Intelligence

How Harness Engineering Makes or Breaks AI Agents – Lessons from Hsu’s 2026 Lecture

The article explains Harness Engineering—a set of tools that control an AI agent’s cognitive framework, capability boundaries, and behavior flow—showing how proper harnesses can turn modest models into high‑performing agents, while poor harnesses cause failures, with concrete examples, benchmarks, and research citations.

AI agentAgent LoopContext Engineering

0 likes · 12 min read

How Harness Engineering Makes or Breaks AI Agents – Lessons from Hsu’s 2026 Lecture

AI Step-by-Step

Mar 22, 2026 · Artificial Intelligence

Why Harness Engineering Is the Key to Stable Agent Loops

The article explains that while an Agent Loop can execute tasks, long‑running stability depends on a well‑designed Harness engineering layer that organizes knowledge, enforces rules, provides verification, and automates cleanup, turning a functional prototype into a reliable production system.

AI agentsAgent LoopHarness Engineering

0 likes · 10 min read

Why Harness Engineering Is the Key to Stable Agent Loops

AI Step-by-Step

Mar 22, 2026 · Artificial Intelligence

How OpenClaw’s Agent Loop Turns Chat into Actionable Tasks

OpenClaw distinguishes itself from ordinary chatbots by employing an Agent Loop—a task‑driving execution chain that normalizes inputs, assembles context, makes model‑based decisions, suspends for tool results, and writes back state, enabling continuous task progression rather than single‑turn replies.

AI agentAgent LoopOpenClaw

0 likes · 10 min read

How OpenClaw’s Agent Loop Turns Chat into Actionable Tasks

JavaGuide

Mar 18, 2026 · Artificial Intelligence

Why Build Your Own Claude Code Agent? A Step‑by‑Step Walkthrough

This article explores the Learn Claude Code website, breaking down the universal agent loop into twelve incremental versions, demonstrating language‑agnostic implementations in Python and Java, and detailing progressive capabilities—from basic tool integration to memory compression, concurrency, and multi‑agent collaboration.

AI agentAgent LoopClaude

0 likes · 9 min read

Why Build Your Own Claude Code Agent? A Step‑by‑Step Walkthrough

phodal

Mar 16, 2026 · Industry Insights

How Fitness Functions Can Define “Done” for AI‑Driven Software Development

The article explains how AI‑powered agents change software delivery, why traditional notions of task completion no longer apply, and how a Fitness Function‑based harness engineering approach—illustrated with the Routa project—encodes executable, auditable completion criteria, hard‑gate checks, and contract consistency to reliably guide agents through the development loop.

Agent LoopFitness Functioncontinuous integration

0 likes · 12 min read

How Fitness Functions Can Define “Done” for AI‑Driven Software Development

AI Explorer

Mar 14, 2026 · Artificial Intelligence

Build a Claude‑Code‑Level AI Agent in 12 Incremental Lessons

This open‑source tutorial walks developers through twelve progressive lessons, expanding a minimal 84‑line agent to a full‑featured 694‑line Claude‑Code‑style AI system that covers tool calls, sub‑agents, context compression, and multi‑agent collaboration.

AI agentAgent LoopClaude Code

0 likes · 9 min read

Build a Claude‑Code‑Level AI Agent in 12 Incremental Lessons

Architect

Feb 20, 2026 · Artificial Intelligence

How Agent Loops Give AI Agents a Personality: Engineering Secrets Revealed

This article explains how the Agent Loop—an engineered while‑loop that repeatedly calls an LLM, decides when to use tools, executes them, and feeds results back—creates persistence, style, memory, judgment, and safety boundaries that together make an AI agent feel like it has its own personality.

AI Agent EngineeringAgent LoopLLM

0 likes · 24 min read

How Agent Loops Give AI Agents a Personality: Engineering Secrets Revealed

AI Tech Publishing

Feb 15, 2026 · Artificial Intelligence

Mastering AI Agent Engineering in 9 Days: Lesson 1 – The Core Agent Loop

This tutorial introduces the foundational Agent Loop that powers modern AI agents, explains why it is needed, breaks down its four core components, compares workflow‑based and agent‑based designs, and provides a minimal Python implementation with code, pitfalls, and a concrete RSS‑news use case.

AI agentAgent LoopOpenAI

0 likes · 17 min read

Mastering AI Agent Engineering in 9 Days: Lesson 1 – The Core Agent Loop

BirdNest Tech Talk

Feb 11, 2026 · Artificial Intelligence

How GoClaw Reimagines OpenClaw: A Go‑Powered AI Assistant Architecture

This article provides an in‑depth technical analysis of GoClaw, a Go‑based personal AI assistant that mirrors OpenClaw's design while introducing a more robust agent loop, reflective reasoning, extensible skill system, sophisticated error handling, and multi‑provider failover, complete with code excerpts, architecture diagrams, and performance trade‑offs.

AI assistantAgent LoopError Handling

0 likes · 19 min read

How GoClaw Reimagines OpenClaw: A Go‑Powered AI Assistant Architecture

Alibaba Cloud Developer

Jan 27, 2026 · Artificial Intelligence

Why AI Coding Assistants Quit Early and How Ralph Loop Keeps Them Working

The article examines common pitfalls of AI programming assistants—premature exits, fragile single‑prompt workflows, costly re‑prompting, and context loss—explains that these stem from unreliable LLM self‑evaluation, and introduces the Ralph Loop (also called Ralph Wiggum Loop) as a robust, stop‑hook‑driven solution that forces continuous iteration until explicit, verifiable completion criteria are met.

AI codingAgent LoopRalph Loop

0 likes · 28 min read

Why AI Coding Assistants Quit Early and How Ralph Loop Keeps Them Working

Programmer's Advance

Jan 25, 2026 · Artificial Intelligence

How Codex Agent Loop Transforms Code Generation into a Programming Partner

This article traces Codex's evolution from a simple code‑completion tool to a full‑stack Agent Loop system, explains its loop‑based architecture and core components, showcases practical configurations, multi‑agent collaboration, real‑world case studies, and discusses technical challenges and future trends for AI‑assisted software development.

AI Code GenerationAgent LoopIndustry Insights

0 likes · 29 min read

How Codex Agent Loop Transforms Code Generation into a Programming Partner

AI Tech Publishing

Jan 24, 2026 · Artificial Intelligence

Agent OS and Skills: 26 Years of Tech Trend Insights

The article examines the emerging concept of Agent OS as a platform for Skills, surveys the few mature Agent OS offerings across code, desktop, and web domains, highlights the rise of response APIs, reviews available agent SDKs, and explains the central role of the agent loop and its various shells.

AI agentsAgent LoopAgent OS

0 likes · 4 min read

Agent OS and Skills: 26 Years of Tech Trend Insights

Java One

Jan 24, 2026 · Artificial Intelligence

Master Claude Code: Unlock AI‑Powered Terminal Coding

This guide explains Claude Code’s agent loop, model choices, built‑in tool categories, project access scope, session handling, checkpoint and permission controls, and practical tips for efficiently using the AI‑driven terminal assistant to write, test, and refactor code.

AI coding assistantAgent LoopCheckpoint

0 likes · 15 min read

Master Claude Code: Unlock AI‑Powered Terminal Coding