BestHub
Sign in
Tagged articles
11 articles
Page 1 of 1
PMTalk Product Manager Community
PMTalk Product Manager Community
Apr 16, 2026 · Artificial Intelligence

Why AI Product Managers Must Master Agent Architecture

The article explains how AI agents are reshaping product logic, breaks down the four core modules—Planner, Memory, Actor, and Tools—illustrates their interaction with a real‑world market‑report example, and offers design guidelines and pitfalls for product managers transitioning to intelligent, autonomous systems.

AI agentsAgent ArchitectureContext Engineering
0 likes · 11 min read
Why AI Product Managers Must Master Agent Architecture
AI Engineer Programming
AI Engineer Programming
Mar 31, 2026 · Artificial Intelligence

How AI Agents Achieve Self‑Evolution Through Context Engineering

The article defines AI Agent self‑evolution as an autonomous loop of perception, learning, and optimization, outlines its three evolutionary levels, key characteristics, core development components, reviews leading frameworks such as EvoSkill and DGM‑Hyperagents, and discusses safety laws for controllable evolution.

AI AgentContext Engineeringautonomous systems
0 likes · 9 min read
How AI Agents Achieve Self‑Evolution Through Context Engineering
SuanNi
SuanNi
Mar 4, 2026 · Artificial Intelligence

How Skills Empower Autonomous Agents: Architecture, Design Patterns, and Security Risks

The article provides an in‑depth analysis of the Skills mechanism that gives large language model agents reusable procedural memory, detailing its core components, seven design patterns, real‑world security threats, evaluation benchmarks, and the challenges of safely scaling autonomous AI systems.

AI agentsDesign PatternsSkills architecture
0 likes · 14 min read
How Skills Empower Autonomous Agents: Architecture, Design Patterns, and Security Risks
Qborfy AI
Qborfy AI
Feb 11, 2026 · Artificial Intelligence

What Is an AI Agent? From Passive Models to Autonomous Digital Assistants

This article explains AI agents as autonomous systems that perceive environments, set goals, and act, contrasting them with traditional AI, detailing their core definition, architecture, key components, practical applications, implementation steps, classification, technology stack, case studies, emerging trends, challenges, and future directions.

AI AgentAgent ArchitectureAutoGPT
0 likes · 11 min read
What Is an AI Agent? From Passive Models to Autonomous Digital Assistants
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Oct 24, 2025 · Artificial Intelligence

7 Essential Agent Design Patterns for Building Autonomous AI Systems

This article explains the fundamental differences between workflows and agents, introduces seven core design patterns—including three workflow patterns and four agent patterns—provides Python examples using Ollama, and shows how to combine these patterns to create robust, autonomous AI applications.

AI agentsDesign PatternsLLM
0 likes · 30 min read
7 Essential Agent Design Patterns for Building Autonomous AI Systems
Data Thinking Notes
Data Thinking Notes
Jun 22, 2025 · Artificial Intelligence

What Powers the Rise of AI Agents? Inside the Tech Behind Agentic AI

This report explores the fundamentals, core technologies, leading platforms, current state, and future outlook of AI Agents and Agentic AI, detailing how large language models and mature infrastructure enable autonomous, reactive, proactive, and adaptive agents, and examines prominent projects such as Manus, Genspark, and Lovart.

AI agentsAgentic AITechnology Report
0 likes · 5 min read
What Powers the Rise of AI Agents? Inside the Tech Behind Agentic AI
AI Algorithm Path
AI Algorithm Path
Mar 11, 2025 · Artificial Intelligence

AI Agents Overview: Foundations, Core Components, and When to Use Them

This article provides a comprehensive overview of AI Agents, tracing their evolution from traditional chatbots to LLM‑driven agents, explaining core components such as perception, reasoning, action, knowledge bases, learning and communication interfaces, and discussing practical use cases, interaction cycles, and future prospects.

AI agentsRetrieval Augmented GenerationTool Use
0 likes · 15 min read
AI Agents Overview: Foundations, Core Components, and When to Use Them
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Jul 18, 2024 · Artificial Intelligence

Why AI Agents Are the Next Frontier of Intelligent Systems

This article surveys the rapid rise of AI agents powered by large language models, explaining their core perception‑planning‑action loop, memory architectures, tool‑use mechanisms, self‑reflection techniques, and real‑world case studies while highlighting current challenges and future prospects for autonomous intelligent systems.

AI AgentLLMMemory
0 likes · 29 min read
Why AI Agents Are the Next Frontier of Intelligent Systems
Ximalaya Technology Team
Ximalaya Technology Team
Oct 18, 2023 · Artificial Intelligence

The Evolution of AI Agents: From Philosophy to Modern Implementations

Tracing AI agents from Aristotle’s and Zhuangzi’s philosophical notions through the coining of “agent” in computer science to today’s learning‑based systems powered by large language models, the article outlines key milestones, core components—LLM brain, memory, planning, tool use—and showcases applications such as AlphaGo, Siri, and autonomous platforms, while forecasting their expanding, industry‑wide ubiquity.

AI agentsGenerative AgentsHistory of AI
0 likes · 21 min read
The Evolution of AI Agents: From Philosophy to Modern Implementations
Ximalaya Technology Team
Ximalaya Technology Team
Sep 18, 2023 · Artificial Intelligence

Understanding Autonomous and Autopilot AI Agents: Insights from Industry Experts

The article surveys the rise of LLM‑powered AI agents, defining them as LLM + memory + planning + tool use, contrasting fully autonomous agents with human‑guided autopilot/copilot variants, outlining their benefits, risks such as hallucinations and unsafe actions, and urging modular frameworks and oversight for reliable enterprise deployment.

AI agentsAgent FrameworkLLM
0 likes · 27 min read
Understanding Autonomous and Autopilot AI Agents: Insights from Industry Experts
JD Tech Talk
JD Tech Talk
Jan 21, 2021 · Artificial Intelligence

Future Technology Trends: AI, IoT, Blockchain, Autonomous Systems, and Next‑Generation Computing

The JD Group Technology Committee’s 2020 white paper analyzes five key future technology trends—Artificial Intelligence, Internet of Things, Blockchain, Autonomous Systems, and Next‑Generation Computing—detailing their breakthroughs, industry applications, and how they will reshape supply chains, retail, finance, healthcare, and smart cities.

BlockchainNext-Generation Computingartificial intelligence
0 likes · 14 min read
Future Technology Trends: AI, IoT, Blockchain, Autonomous Systems, and Next‑Generation Computing