context engineering

AI programming

AI Coding Sprint "DeepSeek Moment": Gen Z Team Uses Domestic Model to Instantly Deliver Complex Apps, Surpassing Claude Code

Cloud-Based AI Agents: Redefining the Programming Paradigm Cloud-based AI Agents are making significant advances, transforming how software is conceived, developed, and deployed. With zero human intervention, an “AI programming team” can directly deploy complex applications, leveraging ultra-large context capacities — reaching tens of millions in scale. Imagine simply stating your requirements,

context engineering

A Paper to Understand the Past and Present of Context Engineering | SJTU’s New Research Explained

![image](https://blog.aitoearn.ai/content/images/2025/11/img_001-193.jpg) # **Context Engineering — The Bricklayers of the AI Era** ![image](https://blog.aitoearn.ai/content/images/2025/11/img_002-183.jpg) ## Introduction In **June 2025**, Shopify CEO **Tobi Lütke** and AI expert **Andrej Karpathy** introduced a new concept on

AI memory

It Only Takes 5 Minutes to Teach AI My Dog’s Name “Shiliu”

Click to Follow → 2025-11-06 08:15 Beijing --- The Real Issue with AI Today When using AI, the scariest part isn’t that it can’t do something — it’s that it doesn’t remember. Example: my dog’s name is “Shiliu” (Sixteen). Recently, I painstakingly taught it: “Shiliu is

AI agents

How to Make Agents Meet Expectations: Top 10 Practical Lessons from Building Cloud Assistant Aivis with Context Engineering and Multi-Agent Systems

Building & Optimizing AI Agents: Lessons from YunXiaoer Aivis This is the 123rd article of 2025 (Estimated reading time: 15 minutes) --- 01. Background This year, our team has been focusing on the YunXiaoer Aivis project — a digital employee in the Alibaba Cloud service domain. It represents our transition from

LLM

Context Engineering | Chris Loy

# Context Engineering *Part of the “Machine Learning for Engineers” series* ![image](https://blog.aitoearn.ai/content/images/2025/11/img_001-5.png) **Previous recap:** *Vector Distance Metrics* --- ## Introduction: From Chatbot to Decision Engine Large Language Models (LLMs) have shifted from being **casual chatbots** to **core decision-making components** in complex

AI agents

How to Make Agents More Aligned with Expectations: Top 10 Practical Lessons from Building the Multi-Agent Cloud Assistant Aivis Using Context Engineering

# Building Better Agents: Lessons from Yunxiaoer Aivis ## Introduction This year, our team has invested heavily in **Yunxiaoer Aivis** — a digital employee in the Alibaba Cloud services domain. It represents our evolution from traditional intelligent customer service assistance to a new **end-to-end Multi-Agent** capability. ![image](https://blog.aitoearn.ai/content/images/

context engineering

A Brief Discussion on Context Engineering: From Claude Code, Manus, and Kiro — The Shift from Prompt Engineering to Context Engineering

# 2025-10-24 · Zhejiang ![image](https://blog.aitoearn.ai/content/images/2025/10/img_001-454.jpg) ![image](https://blog.aitoearn.ai/content/images/2025/10/img_002-418.jpg) --- ## Introduction With the rapid growth of AI Agents, a new term — **Context Engineering** — has emerged. Many are asking: - How does it differ

AI coding

Challenging Claude Code and Cursor: Alibaba Qoder Goes Global as AI Programming Enters the “Context” Revolution

Alibaba Qoder — Architecture Philosophy, Technical Trade-offs, and Positioning / Pricing Overview AI programming tools are undergoing explosive growth. Overseas solutions like Claude Code and Cursor have gained momentum through architectural and interaction innovations, while platforms such as Cline, Replit, and AmpCode push forward new experimentation. Domestic vendors are entering this competitive

ACE framework

Researchers Introduce ACE Framework for Self-Improvement in LLM Contexts

Agentic Context Engineering (ACE): A New Path for Self-Improving LLMs Researchers from Stanford University, SambaNova Systems, and UC Berkeley have introduced Agentic Context Engineering (ACE) — a novel framework designed to enhance Large Language Models (LLMs) using evolving, structured context instead of traditional weight retraining. The goal is simple yet powerful:

AI agents

The Art of Conversing with AI: Beyond Prompting, Mastering the Secrets of Agentic Context Engineering

AI Agents and the Art of Context Engineering Source of Inspiration: Lance (LangChain) & Pete (Manus) Original Video: Watch on YouTube --- We are entering a new era where AI Agents can autonomously execute long, complex tasks. Yet an unexpected paradox arises: > The more we rely on them, the

AI agents

Lots of Insights! Transcript of Silicon Valley’s Internal Discussion on AI Agents – Oct 2, 2025

Datawhale Insights: Why 95% of AI Agents Fail in Production At a recent Silicon Valley industry event, Oana Olteanu—a renowned venture capitalist—joined engineers and ML leads from Uber, WisdomAI, EvenUp, and Datastrato to discuss how AI Agents can succeed in production environments. Key statistic: 95% of AI Agents

AI research

Stanford’s New Paper: Fine-Tuning is Dead, Long Live Autonomous In-Context Learning

Farewell to Traditional Fine-Tuning: Introducing ACE A groundbreaking study from Stanford University, SambaNova Systems, and the University of California, Berkeley has demonstrated a transformative approach to improving AI models — without adjusting a single weight. The method, called Agent Contextual Engineering (ACE), relies on context engineering rather than retraining. It autonomously