Author

Alibaba Cloud Developer

Alibaba's official tech channel, featuring all of its technology innovations.

1.9k

Articles

Likes

4.1k

Views

Comments

Latest from Alibaba Cloud Developer

100 recent articles max

Alibaba Cloud Developer

May 18, 2026 · Artificial Intelligence

Redefining Skill Development: A Hands‑On Guide and One‑Stop Development Assistant

This article walks you through the concept of AI Agent Skills, showing how to design, write, install, publish, and manage a Skill—from the underlying three‑level loading mechanism and cross‑platform considerations to best‑practice guidelines, versioning strategies, automated testing, and even self‑improving loops—so you can turn repetitive tasks into reusable, shareable automation assets.

AI AgentAutomationDevOps

0 likes · 27 min read

Redefining Skill Development: A Hands‑On Guide and One‑Stop Development Assistant

Alibaba Cloud Developer

Apr 24, 2026 · Artificial Intelligence

How Hermes Agent Achieves Self‑Evolution: A Deep Dive into Prompt, Context, and Harness Design

This article provides a detailed technical analysis of Hermes Agent, explaining how its dynamic skill generation and reinforcement‑learning loop enable true self‑evolution, and examines the prompt engineering, context compression, memory architecture, harness mechanisms, error handling, and plugin ecosystem that differentiate it from OpenClaw and Claude Code.

Agent FrameworkContext CompressionHermes Agent

0 likes · 41 min read

How Hermes Agent Achieves Self‑Evolution: A Deep Dive into Prompt, Context, and Harness Design

Alibaba Cloud Developer

Apr 23, 2026 · Artificial Intelligence

From Data‑Driven Insights to a Decision Center: Ontological Engineering with PolarDB‑PG

The article explains how Ontology—an abstract model of objects, relationships, and actions—can be built on PolarDB‑PG’s intelligent engine to overcome semantic ambiguity and logical hallucination in enterprise LLM agents, describing a three‑layer architecture, OAG retrieval, automatic modeling, fine‑grained permission control, and real‑world supply‑chain use cases.

AI AgentKnowledge GraphLLM

0 likes · 13 min read

From Data‑Driven Insights to a Decision Center: Ontological Engineering with PolarDB‑PG

Alibaba Cloud Developer

Apr 23, 2026 · Artificial Intelligence

How Hermes Agent Achieves Self‑Improving AI Through Memory, Skills, and Nudge Engine

Hermes Agent combines a bounded memory store, automatically generated reusable skills, and a Nudge Engine that periodically triggers background reviews, forming a self‑improving loop that reduces tool calls, fixes recurring errors, and outperforms OpenClaw’s static skill system.

AI Agent ArchitectureHermes AgentMemory Management

0 likes · 28 min read

How Hermes Agent Achieves Self‑Improving AI Through Memory, Skills, and Nudge Engine

Alibaba Cloud Developer

Apr 22, 2026 · Artificial Intelligence

Spring AI Agent Demo: Architecture, RAG, Tools & Sub‑Agents Explained

An in‑depth walkthrough of a Spring AI‑based AI Agent demo showcases its core modules—including AgentCore orchestration, multi‑layer conversation memory compression, function‑calling tool registration, RAG retrieval pipelines, markdown‑driven Commands and Skills, Sub‑Agent isolation, and MCP integration—complete with code snippets, design rationale, and runtime configuration details.

AIAgentFunctionCalling

0 likes · 27 min read

Spring AI Agent Demo: Architecture, RAG, Tools & Sub‑Agents Explained

Alibaba Cloud Developer

Apr 21, 2026 · Artificial Intelligence

Why Harnessing AI Agents Beats Prompt Tuning in Enterprise Engineering

The article explains how, in large‑scale software delivery, a disciplined Harness layer that constrains, monitors, and validates LLM‑driven agents is far more reliable than raw prompt engineering, and shows how this shift reshapes programmers from code writers to goal‑oriented delivery controllers.

AI AgentLLMenterprise AI

0 likes · 30 min read

Why Harnessing AI Agents Beats Prompt Tuning in Enterprise Engineering

Alibaba Cloud Developer

Apr 20, 2026 · Operations

How We Built a 24/7 Autonomous User‑Feedback Pipeline with Qoder CLI

The article details how a growing Qoder product suite prompted the creation of a fully automated, 24‑hour feedback handling pipeline that classifies, clusters, analyses logs, and even generates fix code using Qoder CLI agents, cutting manual effort from 30 minutes per issue to about two minutes while maintaining human code‑review oversight.

AI automationCost OptimizationDevOps

0 likes · 13 min read

How We Built a 24/7 Autonomous User‑Feedback Pipeline with Qoder CLI

Alibaba Cloud Developer

Apr 20, 2026 · Artificial Intelligence

Inside Claude Code: Deep Dive into Prompt, Context & Harness Engineering for AI Coding Agents

This article analyzes Claude Code, an AI coding agent, exploring its sophisticated Prompt Engineering, dynamic Context assembly, multi‑layered compression strategies, and Harness Engineering mechanisms, while comparing its design to OpenClaw and highlighting unique features such as memory systems, sandbox isolation, and playful Easter eggs.

0 likes · 65 min read

Inside Claude Code: Deep Dive into Prompt, Context & Harness Engineering for AI Coding Agents

Alibaba Cloud Developer

Apr 16, 2026 · Industry Insights

Rethinking AI Coding: Multi‑Agent Collaboration as the New Development Paradigm

The article analyzes the shift from single‑agent AI coding workflows to a multi‑agent collaboration model, proposing a spec‑driven orchestration framework, observable claims, and a review‑centric UI called Mexus to enable efficient parallel development, conflict resolution, and human oversight.

AI codingMulti-agent collaborationObservability

0 likes · 15 min read

Rethinking AI Coding: Multi‑Agent Collaboration as the New Development Paradigm

Alibaba Cloud Developer

Apr 15, 2026 · Artificial Intelligence

Uncovering OpenClaw’s Memory Weaknesses and How RDSClaw’s Plugin Gains a 14% Accuracy Boost

This article dissects OpenClaw’s multi‑layer markdown‑based memory pipeline, highlights the instability caused by LLM‑driven write decisions and token‑threshold flushes, and then presents the RDSClaw memory plugin that adds deterministic extraction, real‑time CRUD integration, and vector‑based de‑duplication, resulting in a 13.9% overall accuracy improvement on the LoCoMo10 benchmark.

0 likes · 22 min read

Uncovering OpenClaw’s Memory Weaknesses and How RDSClaw’s Plugin Gains a 14% Accuracy Boost