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Alibaba Cloud Developer
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Alibaba Cloud Developer

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

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Latest from Alibaba Cloud Developer

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Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 27, 2026 · Artificial Intelligence

How Tair Powers Sub‑Second AI Agent Memory for Real‑Time Ordering

This article examines how Taobao Flash Sale’s AI Agent uses Alibaba Cloud’s Tair as a high‑performance short‑term memory layer, detailing data model design, latency impact, concurrency control, elastic scaling, bandwidth handling, and TTL‑based cleanup to achieve sub‑second response times during massive traffic spikes.

AI AgentScalable ArchitectureTair
0 likes · 15 min read
How Tair Powers Sub‑Second AI Agent Memory for Real‑Time Ordering
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 27, 2026 · Artificial Intelligence

How OpenClaw Empowers a Self‑Evolving Bank Manager Assistant

This article details a three‑day deep dive into OpenClaw, demonstrating how a self‑iterating AI assistant for bank relationship managers can be built, validated, and refined through autonomous agent communication, scheduled tasks, and memory‑driven reflection.

AI AgentsAgent EvaluationOpenClaw
0 likes · 20 min read
How OpenClaw Empowers a Self‑Evolving Bank Manager Assistant
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 25, 2026 · Databases

How AliSQL AI Diagnoses and Eliminates MySQL Replication Lag

This article analyzes the severe replication‑delay issues in MySQL master‑slave setups, identifies four typical workload patterns that cause lag, demonstrates how AliSQL's AI assistant pinpoints the root causes, and explains the kernel‑level optimizations that completely remove the delay.

AI DiagnosisAliSQLDatabase
0 likes · 13 min read
How AliSQL AI Diagnoses and Eliminates MySQL Replication Lag
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 24, 2026 · Artificial Intelligence

Why LLMs Behave Unpredictably: From Uncertainty to Practical Agent Design

This article analyzes the sources of LLM output uncertainty, explores hardware and architectural constraints, demonstrates how to build robust AI agents with prompt engineering, tool orchestration, and memory management, and compares traditional micro‑service design with modern LLM‑centric workflows.

AI AgentLLMLangChain
0 likes · 64 min read
Why LLMs Behave Unpredictably: From Uncertainty to Practical Agent Design
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 23, 2026 · Artificial Intelligence

From Scenario Abstraction to an AI Assistant Production Line: Scalable Architecture and Prompt Plug‑In Design

The article analyzes the inefficiencies of building isolated AI assistants for each business need, abstracts four high‑frequency scenarios, proposes a reusable technical solution stack—including IntentResult modeling, FSWW tool‑recall, ReAct reasoning, multimodal RAG, and a prompt plug‑in framework—and demonstrates how a one‑click platform can turn these designs into production‑ready AI assistants.

AI assistantsKnowledge RetrievalLLM architecture
0 likes · 21 min read
From Scenario Abstraction to an AI Assistant Production Line: Scalable Architecture and Prompt Plug‑In Design
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 20, 2026 · Artificial Intelligence

Mastering Multi‑Agent Patterns with AgentScope and Spring AI Alibaba

This article analyzes the evolution of enterprise AI from single‑model chat to scalable multi‑agent workflows, explains seven core multi‑agent patterns—including Pipeline, Routing, Skills, Subagents, Supervisor, Handoffs, and Custom Workflow—provides detailed implementation guidance with Java code, and shows how Spring AI Alibaba now natively supports AgentScope orchestration for robust, observable AI applications.

AI ArchitectureAgentScopeJava
0 likes · 23 min read
Mastering Multi‑Agent Patterns with AgentScope and Spring AI Alibaba
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 19, 2026 · Artificial Intelligence

How Engineering Knowledge Engines Turn AI Coders into Reliable Collaborators

The article analyzes the limitations of current AI coding agents—narrow perception, fragmented knowledge, and missing high‑dimensional context—and presents an Engineering Knowledge Engine that integrates vector retrieval, code and commit graphs, RepoWiki, memory, and Agentic Search to provide structured, evolving context, dramatically improving task success, token efficiency, and code quality.

AIAgentic SearchCode Graph
0 likes · 11 min read
How Engineering Knowledge Engines Turn AI Coders into Reliable Collaborators
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 17, 2026 · Backend Development

How RocketMQ LiteTopic Eliminates AI Inference Queue Bottlenecks with Millisecond‑Level Flow Control

This article explains why traditional message‑queue throttling fails in AI inference workloads, introduces Apache RocketMQ 5.x LiteTopic’s lightweight topic model, and details its four core features—physical isolation, elastic scaling, precise flow control, and consumption suspension—that together provide millisecond‑level real‑time throttling and minute‑level busy‑idle scheduling for personalized traffic management.

AI inferenceFlow ControlLiteTopic
0 likes · 14 min read
How RocketMQ LiteTopic Eliminates AI Inference Queue Bottlenecks with Millisecond‑Level Flow Control