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Tool System

8 articles · Page 1 of 1
Su San Talks Tech
Su San Talks Tech
Jul 22, 2026 · Artificial Intelligence

Getting Started with AgentScope-Java: Build Enterprise AI Agents in Minutes

This guide introduces AgentScope-Java, Alibaba's open‑source Java framework for building production‑grade AI agents, explains how it solves the lack of Java‑native agent tools, compares it with Spring AI Alibaba, walks through core concepts, installation, tool registration, multi‑agent orchestration, underlying architecture, distributed deployment, real‑world examples, and evaluates its strengths and limitations.

AI agentsAgentScopeHarnessAgent
0 likes · 27 min read
Getting Started with AgentScope-Java: Build Enterprise AI Agents in Minutes
o-ai.tech
o-ai.tech
Jul 16, 2026 · Backend Development

Designing a Unified, Type‑Safe, Extensible Tool System for AI Agents

This document details a comprehensive architecture for an AI‑agent tool system that unifies registration, discovery, and invocation of dozens of tools, enforces strong type safety, supports runtime dynamic registration, and provides efficient streaming execution with a layered design and dependency‑injection container.

AI agentsDependency InjectionTool System
0 likes · 32 min read
Designing a Unified, Type‑Safe, Extensible Tool System for AI Agents
dbaplus Community
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
AI Step-by-Step
AI Step-by-Step
May 1, 2026 · Artificial Intelligence

How Claude Code’s Agentic Loop Works: Four Layers from QueryEngine to UI

The article breaks down Claude Code’s persistent agentic loop into four layers—QueryEngine, Tool System, Permission/Hook, and React + Ink—explaining how each turn gathers context, makes model decisions, executes actions, verifies results, handles errors, and renders a terminal UI.

Agentic LoopClaude CodeError Handling
0 likes · 14 min read
How Claude Code’s Agentic Loop Works: Four Layers from QueryEngine to UI
Smart Era Software Development
Smart Era Software Development
Apr 3, 2026 · Artificial Intelligence

Claude Code Deep Dive: Engineering an AI Programming Assistant and Agent Design Best Practices

This article provides a comprehensive technical analysis of Claude Code, explaining how it transforms AI programming assistants from simple code‑completion tools into autonomous agents that can read/write files, execute commands, manage context, and coordinate multiple agents, while detailing its eight core design principles, layered architecture, tool system, context engineering, state management, security model, extensibility mechanisms, and performance optimizations.

AI AgentClaude CodeTool System
0 likes · 26 min read
Claude Code Deep Dive: Engineering an AI Programming Assistant and Agent Design Best Practices
Architect
Architect
Apr 1, 2026 · Artificial Intelligence

Inside Claude Code: How Anthropic Built a Secure, Scalable Local Agent Runtime

This article dissects Claude Code’s open‑source repository, revealing how its startup sequence, context assembly, main loop, tool contracts, permission pipeline, and long‑task handling are engineered layer by layer to create a performant, secure local AI agent runtime.

AI architectureAgent RuntimeClaude Code
0 likes · 24 min read
Inside Claude Code: How Anthropic Built a Secure, Scalable Local Agent Runtime
Shuge Unlimited
Shuge Unlimited
Mar 31, 2026 · Artificial Intelligence

5 Agent Design Patterns Uncovered in Claude Code Source Leak

The article dissects the accidental public release of Anthropic's Claude Code TypeScript source, revealing five concrete AI agent design patterns—including prompt‑cache segmentation, a coordinator‑fork architecture, a four‑layer permission model, file‑system memory, and on‑demand tool loading—while also detailing the underlying tech stack, source‑map exposure, and quirky easter eggs.

AI AgentClaude CodeCoordinator
0 likes · 17 min read
5 Agent Design Patterns Uncovered in Claude Code Source Leak