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Alibaba Cloud Developer

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Alibaba Cloud Developer
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.

Context CompressionHermes AgentOpen‑source
0 likes · 41 min read
How Hermes Agent Achieves Self‑Evolution: A Deep Dive into Prompt, Context, and Harness Design
Alibaba Cloud Developer
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 AgentEnterprise AIKnowledge Graph
0 likes · 13 min read
From Data‑Driven Insights to a Decision Center: Ontological Engineering with PolarDB‑PG
Alibaba Cloud Developer
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
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 AgentEnterprise AIHarness Engineering
0 likes · 30 min read
Why Harnessing AI Agents Beats Prompt Tuning in Enterprise Engineering
Alibaba Cloud Developer
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 automationDevOpsQoder CLI
0 likes · 13 min read
How We Built a 24/7 Autonomous User‑Feedback Pipeline with Qoder CLI
Alibaba Cloud Developer
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
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
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
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 14, 2026 · Operations

Why Browser Automation Fails and How OpenCLI’s API‑First Approach Solves It

The article explains why traditional UI‑based browser automation is unstable, proposes extracting and reproducing underlying API requests instead, and introduces OpenCLI’s workflow—including rapid setup, a five‑tier authentication strategy, adapter generation, AI‑driven CLI synthesis, and current limitations—to achieve more efficient and reliable automation.

API extractionCLI generationOpenCLI
0 likes · 10 min read
Why Browser Automation Fails and How OpenCLI’s API‑First Approach Solves It