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Alibaba Cloud Developer

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Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 11, 2026 · Artificial Intelligence

Building an AI‑Native Multi‑Agent Digital Human Architecture on Cloud Native

The article details how a cloud‑native platform called AgentTeams enables AI‑Native multi‑agent digital‑human teams to replace manual incident response, automate end‑to‑end development workflows, and securely integrate LLMs and internal services through declarative orchestration and fine‑grained permission models.

AI-nativeAgentTeamsAutomation
0 likes · 24 min read
Building an AI‑Native Multi‑Agent Digital Human Architecture on Cloud Native
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 10, 2026 · Artificial Intelligence

Layered Knowledge Base Architecture: From RAG to Agent‑Native Knowledge Context Layer

The article analyses the structural shortcomings of naive Retrieval‑Augmented Generation (RAG), compares four knowledge‑base paradigms, proposes a five‑layer pyramid knowledge context that supports role‑aware navigation and incremental sync, and presents evaluation results showing the pyramid‑plus‑RAG approach significantly outperforms plain RAG.

AIKnowledge BaseKnowledge Graph
0 likes · 22 min read
Layered Knowledge Base Architecture: From RAG to Agent‑Native Knowledge Context Layer
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 9, 2026 · Artificial Intelligence

Scientific, Controllable Skill Self‑Evolution: Deep Dive into Trace2Skill, EvoSkill and SkillOpt

This article analyzes three recent papers—Trace2Skill, EvoSkill, and SkillOpt—detailing their methodologies for automatically evolving Agent Skills, comparing their assumptions, processes, strengths, and limitations, and offering guidance on selecting the appropriate approach for scalable, reliable skill self‑improvement.

AgentArtificial IntelligenceSkill
0 likes · 33 min read
Scientific, Controllable Skill Self‑Evolution: Deep Dive into Trace2Skill, EvoSkill and SkillOpt
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 3, 2026 · Artificial Intelligence

Qwen3.7-Plus: Deep Reasoning, Visual Understanding, and End‑to‑End Multimodal Execution

Qwen3.7-Plus is a multimodal large‑model that unifies vision and language, delivers top‑5 global Vision Arena rankings, excels on a wide range of pure‑text, visual‑reasoning, and video benchmarks, and powers autonomous agents that perceive screens, generate code, and complete complex GUI/CLI workflows end‑to‑end.

Agent AutomationVisual Reasoningbenchmark performance
0 likes · 14 min read
Qwen3.7-Plus: Deep Reasoning, Visual Understanding, and End‑to‑End Multimodal Execution
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 2, 2026 · Artificial Intelligence

Building a Dual‑Engine AI Assistant for DingTalk with Qoder CLI and Claude Code

The article details a complete engineering solution that lets a DingTalk group chat invoke an AI assistant—switchable between Qoder CLI and Claude Code—to query logs, run experiments, analyse performance and even deploy code, while handling intranet constraints, latency, security isolation, and Docker deployment.

Claude CodeDingTalkDocker
0 likes · 15 min read
Building a Dual‑Engine AI Assistant for DingTalk with Qoder CLI and Claude Code
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 1, 2026 · Artificial Intelligence

Turning a Web‑Only StarAgent WebTerminal into a Full‑Featured CLI

This article details how the author refactored the StarAgent/Drogo WebTerminal from a purely web‑based UI into a stable CLI‑driven execution layer (wt), adding black‑screen commands (wsh/wcp), session reuse, file‑transfer APIs, interactive debugging, and Skill‑based operation guides so AI agents can dynamically run, observe, and iterate on remote troubleshooting tasks such as GPU‑hang analysis and coredump debugging.

AI AgentCLIRemote Debugging
0 likes · 26 min read
Turning a Web‑Only StarAgent WebTerminal into a Full‑Featured CLI
Alibaba Cloud Developer
Alibaba Cloud Developer
May 29, 2026 · Artificial Intelligence

Quick Experience with AgentScope Builder: Building Enterprise Self‑Evolving Agents Using the Harness Framework

The article presents AgentScope Builder, a cloud‑native platform that extends the Harness framework to enable multi‑tenant, distributed, self‑evolving AI agents, detailing its workspace‑driven architecture, CompositeFilesystem isolation, zero‑code development flow, and how it scales from a single‑machine prototype (MinQwenPaw) to an enterprise‑grade solution.

AgentScopeCompositeFilesystemHarness
0 likes · 22 min read
Quick Experience with AgentScope Builder: Building Enterprise Self‑Evolving Agents Using the Harness Framework
Alibaba Cloud Developer
Alibaba Cloud Developer
May 22, 2026 · Artificial Intelligence

How Core Agent Concepts and Paradigms Have Evolved and the Rationale Behind Them

The article traces the evolution of AI agents from early ReAct‑style models through workflow‑based systems to autonomous and self‑evolving agents, analyzing six core dimensions—Prompt, Planning, Memory, Tools, Workflow, and Environment—and explains why each paradigm shift occurred, citing recent frameworks and research.

AI AgentsMemory ManagementSelf-Evolving Systems
0 likes · 25 min read
How Core Agent Concepts and Paradigms Have Evolved and the Rationale Behind Them
Alibaba Cloud Developer
Alibaba Cloud Developer
May 19, 2026 · Artificial Intelligence

How Browser Request Recording and AI Code Generation Transform E2E API Testing

The article details a workflow that captures real HTTP requests with a browser plugin, feeds the data to an AI coding tool, and automatically generates end‑to‑end API test code, cutting test‑case development time from 5‑6 hours to 20‑50 minutes while dramatically reducing errors and easing version‑compatible maintenance.

AI code generationE2E automationapi-testing
0 likes · 20 min read
How Browser Request Recording and AI Code Generation Transform E2E API Testing