Tagged articles

Tool Invocation

5 articles · Page 1 of 1

Jul 25, 2026 · Artificial Intelligence

Inside Claude Code and Codex: Dissecting the Six Core Components of a Coding Agent

The article breaks down the architecture of coding agents like Claude Code and Codex into six essential components—Live Repo Context, Prompt Cache, Tools, Context Management, Session Memory, and Bounded Subagents—explaining how each layer of the Agent Harness transforms similar LLMs into markedly different, more capable systems.

Agent HarnessCoding AgentContext Management

0 likes · 12 min read

Inside Claude Code and Codex: Dissecting the Six Core Components of a Coding Agent

AI Explorer

Jun 1, 2026 · Artificial Intelligence

Will AI Agents Become the Next Operating System?

The article analyzes how AI agents are evolving from simple chat assistants to an intent‑driven orchestration layer that could serve as a new operating system, outlining their emerging capabilities, enterprise use cases, and the reliability, security, and ecosystem challenges they must overcome.

AI AgentEnterprise WorkflowHuman-Computer Interaction

0 likes · 11 min read

Will AI Agents Become the Next Operating System?

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

Architecture and Beyond

Oct 12, 2025 · Artificial Intelligence

How Do AI Agents Know When to Stop? Strategies and Real-World Implementations

This article explores the essential stop‑condition designs for AI agents, detailing hard limits, task‑completion checks, explicit termination tools, loop detection, error accumulation, and user interruption, and then examines concrete implementations in OpenManus and Gemini CLI with code examples and multi‑layer safeguards.

AI AgentGemini CLILLM

0 likes · 17 min read

How Do AI Agents Know When to Stop? Strategies and Real-World Implementations

Alibaba Cloud Developer

Aug 11, 2025 · Artificial Intelligence

How a Multi‑Agent Framework Supercharges Energy‑Sector AI Tasks

This article explains how the authors built a multi‑agent framework for the energy domain that splits complex tasks into simple subtasks, uses a planner‑scheduler‑executor pipeline, implements structured communication, memory management, and streaming output to overcome large‑model attention diffusion and improve efficiency and reliability.

Agent communicationTool Invocationstreaming output

0 likes · 23 min read

How a Multi‑Agent Framework Supercharges Energy‑Sector AI Tasks