Context Engineering

Exploring the Architecture of Leading AI Giants: The Controversy and Trade-offs Between Single-Agent and Multi-Agent Systems

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Exploring the Architecture of Leading AI Giants: The Controversy and Trade-offs Between Single-Agent and Multi-Agent Systems

In the field of AI, the discussion on “how to build agents” is intensifying. The two leading teams, Cognition, known for “Devin,” and the emerging giant Anthropic, have published seemingly opposing viewpoints titled “Do Not Build Multi-Agents” and “How We Build Multi-Agent Research Systems” respectively. However, a deeper analysis reveals that the core ideas of … Read more

Exploration of AI Agent Technology

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1. BackgroundRecently, I have been learning some knowledge related to AI Agents. The purpose of writing this article is to clarify the context of the knowledge I have acquired, making it easier for deeper learning in the future.2. What is LLMLLM (Large Language Model) technology has developed rapidly in recent years, and there are now … Read more

AI Agent | How to Develop a Custom PPT Generation Agent

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AI Agent | How to Develop a Custom PPT Generation Agent

Method for Building a Custom PPT Generation Agent with Claude Code This method primarily addresses a long-standing issue that many people face: the AI PPT tools available on the market are mostly template-based, resulting in uniformity and lack of personality. The problem with traditional AI PPT tools is the absence of professional design thinking and … Read more

Reliable Multi-Agent Architecture Design for 2025

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Reliable Multi-Agent Architecture Design for 2025

2025 is referred to as the year of Agents, with many capable manufacturers launching AI Agents. However, reality often contradicts expectations: seemingly intelligent models frequently crash, producing absurd outputs, resembling “artificial stupidity.” Where does the problem lie? Is it the model’s capabilities? Or is the framework not advanced enough? Online, I came across an article … Read more

The Era of AI Agents: Complete Closed-Loop Capabilities Transitioning Humans from Executors to Supervisors

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The Era of AI Agents: Complete Closed-Loop Capabilities Transitioning Humans from Executors to Supervisors

AI Agents and Key Technological Pathways for Enterprise-Level Applications Executive Summary This article deeply analyzes the five-stage development theory of Artificial General Intelligence (AGI) and the key technological pathways for enterprise-level AI applications, revealing that current AI technology is at a critical turning point from being “reasoners” to “agents.” This transition will reshape enterprise AI … Read more

Fully Automated from Requirements to Development: How to Build an AI Front-End Engineer Based on Multi-Agent Architecture

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Fully Automated from Requirements to Development: How to Build an AI Front-End Engineer Based on Multi-Agent Architecture

Ali Mei’s Introduction This article delves into the technical practices and core thoughts behind the Multi-Agent intelligent platform “Tiangong Wanxiang” developed by the Ant Financial front-end team. The emergence of AutoGPT in 2023 marks a new stage for Agents, combining the capabilities of GPT-3.5 and GPT-4.0 to accomplish complex project tasks. At that time, limited … Read more

From Corporate Knowledge Production to Corporate BI Apprenticeship: A Claims Report from the AI Agent Project Incident Site

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From Corporate Knowledge Production to Corporate BI Apprenticeship: A Claims Report from the AI Agent Project Incident Site

Click Follow us by clicking the blue text above Cover image: Three major engineering paradigms for implementing corporate AI agents: Context Engineering, Agentic Engineering, and Model Engineering “ 𝕀²·ℙarad𝕚g𝕞 Intelligent Square Paradigm· a vibe builder ·Large-scale Paradigm Why does your company’s AI project always seem to be “misfiring”? This in-depth reflection by Xiaofan, following the … Read more