BestHub
Sign in
Architect
Author

Architect

Professional architect sharing high‑quality architecture insights. Topics include high‑availability, high‑performance, high‑stability architectures, big data, machine learning, Java, system and distributed architecture, AI, and practical large‑scale architecture case studies. Open to ideas‑driven architects who enjoy sharing and learning.

1.5k
Articles
0
Likes
4.5k
Views
0
Comments
Recent Articles

Latest from Architect

100 recent articles max
Architect
Architect
Apr 24, 2026 · Artificial Intelligence

How Hermes Agents Self‑Evolve: What Should Remain After a Task?

The article examines Hermes Agent’s three‑layer memory system—facts, session retrieval, and process assets—detailing how Skills are created, stored, patched, and secured at runtime, and argues that reliable self‑evolution requires disciplined versioning, evaluation, and access controls rather than unchecked automatic skill generation.

AI SkillsHermes AgentProcess Assets
0 likes · 21 min read
How Hermes Agents Self‑Evolve: What Should Remain After a Task?
Architect
Architect
Apr 23, 2026 · Artificial Intelligence

What Exactly Belongs in a .claude/ Folder? A Beginner’s Guide

This article explains the purpose and layered structure of the .claude/ directory in Claude Code projects, detailing what files belong in CLAUDE.md, settings.json, hooks, commands, skills, and agents, and how to organize project‑level versus user‑level configurations for reliable, maintainable AI‑assisted development.

AI AgentsClaude CodeHooks
0 likes · 32 min read
What Exactly Belongs in a .claude/ Folder? A Beginner’s Guide
Architect
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 AgentHarnessPermission
0 likes · 23 min read
Why a Tiny Agent Loop Exposes the Real Engineering Hurdles of AI Agents
Architect
Architect
Apr 19, 2026 · Artificial Intelligence

Why Your AI Agent’s Success Depends on the Harness, Not Just the Model

The article explains that an Agent Harness is the complete runtime system surrounding a language model—handling the main loop, tools, context, state, permissions, and validation—and shows why this engineering layer, not the model itself, determines the stability and scalability of AI agents.

AI AgentContext managementHarness Engineering
0 likes · 23 min read
Why Your AI Agent’s Success Depends on the Harness, Not Just the Model
Architect
Architect
Apr 18, 2026 · Artificial Intelligence

Why Multi‑Agent Systems Need More Than Role‑Playing: 5 Coordination Patterns Explained

Anthropic’s recent analysis reveals five multi‑agent coordination patterns—Generator‑Verifier, Orchestrator‑Subagent, Agent Teams, Message Bus, and Shared State—highlighting that the real challenges lie in context boundaries, information flow, verification standards, and termination conditions rather than merely assigning roles.

AI ArchitectureAgent orchestrationCoordination Patterns
0 likes · 30 min read
Why Multi‑Agent Systems Need More Than Role‑Playing: 5 Coordination Patterns Explained
Architect
Architect
Apr 16, 2026 · Artificial Intelligence

Mastering Claude Code: Session Management Strategies for 1M Context Windows

This article analyzes Anthropic's Claude Code session‑management features, explaining how context rot limits effective token usage, what the 1 M‑token window actually stores, and when to use the five built‑in actions—Continue, /rewind, /clear, Compact and Subagent—to keep long‑running AI tasks reliable and efficient.

AI AgentsClaude CodePrompt Engineering
0 likes · 18 min read
Mastering Claude Code: Session Management Strategies for 1M Context Windows
Architect
Architect
Apr 15, 2026 · Artificial Intelligence

Can AI Agents Replace Human Engineers? Lessons from Claude Code Automation

The article analyzes the risks of tying core business systems to a single AI model, breaks down Claude Code's workflow into three engineering layers, and offers practical guidelines for building model‑agnostic, observable, and secure automation pipelines that can survive model changes and cost fluctuations.

AI automationAgent HarnessClaude Code
0 likes · 24 min read
Can AI Agents Replace Human Engineers? Lessons from Claude Code Automation
Architect
Architect
Apr 13, 2026 · Artificial Intelligence

How Hermes and OpenClaw Differ in Memory Architecture and Skill Management

The article analyzes Hermes Agent's three‑layer memory system—fact memory stored in tiny Markdown files, session history indexed with SQLite + FTS5, and procedural memory via skill management—then compares each layer to OpenClaw's architecture and explains how to integrate self‑summarizing skills into OpenClaw.

External Memory ProviderFTS5Hermes Agent
0 likes · 27 min read
How Hermes and OpenClaw Differ in Memory Architecture and Skill Management