BestHub
Sign in
Architecture and Beyond
Author

Architecture and Beyond

Focused on AIGC SaaS technical architecture and tech team management, sharing insights on architecture, development efficiency, team leadership, startup technology choices, large‑scale website design, and high‑performance, highly‑available, scalable solutions.

167
Articles
0
Likes
473
Views
0
Comments
Recent Articles

Latest from Architecture and Beyond

100 recent articles max
Architecture and Beyond
Architecture and Beyond
Jan 10, 2026 · Artificial Intelligence

How to Systematically Test and Evaluate Industry AI Agents

This guide explains how to systematically evaluate industry‑specific AI agents by testing the combined model and engineering stack, building domain‑expert‑driven datasets, designing reproducible testing systems, managing assets, controlling costs, and applying both traditional and LLM‑based methods to ensure reliable, stable performance.

AI evaluationLLM testingagent testing
0 likes · 20 min read
How to Systematically Test and Evaluate Industry AI Agents
Architecture and Beyond
Architecture and Beyond
Dec 27, 2025 · Artificial Intelligence

Turning Claude Skill Folders into Scalable Industry Workflows

This article explains how Anthropic's Claude Skill folders let you package domain expertise, scripts, and resources into reusable modules, differentiate Skills from prompts, combine them with MCP tools and workflows, and build a robust mixed Agent‑Workflow architecture for reliable enterprise automation.

AI agentsClaudeMCP
0 likes · 18 min read
Turning Claude Skill Folders into Scalable Industry Workflows
Architecture and Beyond
Architecture and Beyond
Dec 21, 2025 · Artificial Intelligence

Designing RAG for Industry‑Specific AI Agents: From Data to Safe Execution

This article explains how to build Retrieval‑Augmented Generation (RAG) for industry‑specific AI agents, covering required capabilities, metrics, data sources, indexing, hybrid retrieval, decision‑point integration, layered output, permission controls, rollout strategies, and common pitfalls to ensure reliable and secure automation.

Agent designKnowledge RetrievalRAG
0 likes · 17 min read
Designing RAG for Industry‑Specific AI Agents: From Data to Safe Execution
Architecture and Beyond
Architecture and Beyond
Dec 7, 2025 · Artificial Intelligence

How to Turn Industry Workflows into Actionable Skills with Claude

This article explains Claude's Skill system, how Skills differ from prompts, the concept of industry Workflows, the boundaries between Skills, Tools, and MCPs, and provides a step‑by‑step guide for designing Skills, wrapping legacy systems into Workflows, and building a hybrid Workflow‑plus‑Agent architecture for reliable, auditable automation.

AIAgentAutomation
0 likes · 18 min read
How to Turn Industry Workflows into Actionable Skills with Claude
Architecture and Beyond
Architecture and Beyond
Nov 29, 2025 · Backend Development

How ComfyUI Caches Work: CLASSIC vs LRU vs RAM_PRESSURE Explained

This article breaks down ComfyUI's two‑level cache system, explains the differences between the CLASSIC, LRU, and RAM_PRESSURE strategies for outputs and objects, and offers practical guidance on choosing the right cache mode when running multiple models, LoRAs, and workflows on a single machine.

AI workflowsCache StrategiesCaching
0 likes · 19 min read
How ComfyUI Caches Work: CLASSIC vs LRU vs RAM_PRESSURE Explained
Architecture and Beyond
Architecture and Beyond
Nov 9, 2025 · Artificial Intelligence

Why Most AI Agents Use Workflows and How to Design Effective Ones

The article examines why most AI agents operate as workflow‑driven systems due to the reliability, accuracy, execution and cost limits of large models, and offers practical guidance on designing, evaluating, and iterating effective workflow agents while acknowledging their constraints and future prospects.

AI AgentArtificial IntelligenceProduct Design
0 likes · 12 min read
Why Most AI Agents Use Workflows and How to Design Effective Ones
Architecture and Beyond
Architecture and Beyond
Nov 2, 2025 · Artificial Intelligence

Why AI Agents Still Fall Short: Key Challenges and Real-World Solutions

The article examines why current AI agents fall short of expectations, highlighting weak business understanding, limited execution, controllability issues, high customization costs, and the gap between model capabilities and engineering, while proposing SaaS firms' advantages, vertical scenario focus, security concerns, and future development trends.

AI agentsAI safetyAgent Engineering
0 likes · 11 min read
Why AI Agents Still Fall Short: Key Challenges and Real-World Solutions
Architecture and Beyond
Architecture and Beyond
Oct 19, 2025 · Artificial Intelligence

4 Essential AI Agent Design Patterns You Need to Master

This article introduces four common AI Agent design patterns—single‑agent, ReAct, multi‑agent collaboration, and human‑AI cooperation—explaining their definitions, problem scopes, core components, workflows, advantages, limitations, implementation tips, and guidance for selecting the most suitable pattern.

AI agentsReActhuman‑AI collaboration
0 likes · 28 min read
4 Essential AI Agent Design Patterns You Need to Master
Architecture and Beyond
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