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Amap Tech
Amap Tech
Feb 3, 2026 · Artificial Intelligence

Building a Scalable AI Agent Smart Task Framework for Offline & Event‑Driven Use

After LLMs entered the deep‑water stage, developers realized that agents must go beyond passive Q&A to support asynchronous, long‑running, and subscribable tasks; this article details the design, architecture, and engineering challenges of the “Xiao Gao Teacher AI Agent” smart‑task system, from event‑driven logic to fault‑tolerant deployment.

AI AgentEvent-Driven ArchitectureLLM
0 likes · 19 min read
Building a Scalable AI Agent Smart Task Framework for Offline & Event‑Driven Use
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Feb 24, 2021 · Backend Development

How WeChat and Momo Solve Mobile IM Challenges: Protocols, Power Saving, and Massive Scaling

The article analyzes the core technical challenges of mobile instant‑messaging services—battery consumption, limited traffic, unreliable networks—and explains how WeChat and Momo design hybrid short‑/long‑connection protocols, use protobuf, intelligent routing, load‑balancing, sharding and distributed algorithms to achieve high reliability and scalability.

IM architectureMomoProtobuf
0 likes · 12 min read
How WeChat and Momo Solve Mobile IM Challenges: Protocols, Power Saving, and Massive Scaling
MaGe Linux Operations
MaGe Linux Operations
Mar 27, 2019 · Backend Development

Why QQGame’s Room‑Join Failures Reveal Hidden Challenges in Scalable Backend Design

The article analyzes QQGame’s room‑entry failures caused by massive concurrent users, explores the limits of client‑side data synchronization, and proposes a scalable backend architecture using region‑based partitioning, autonomous server processing, and distributed database sharding to achieve high availability and data consistency.

Data ConsistencyScalable Backenddatabase sharding
0 likes · 14 min read
Why QQGame’s Room‑Join Failures Reveal Hidden Challenges in Scalable Backend Design
21CTO
21CTO
Feb 20, 2016 · Backend Development

How 58.com Scaled Its IM Platform to Billions of Requests: Architecture & Push Strategies

This article details how 58.com’s Bangbang system evolved from a traditional IM to a massive, multi‑layer backend handling billions of daily messages and business operations, describing its four‑layer architecture, third‑party integration, client lightweight design, and push notification techniques for iOS and Android.

IM architectureScalable Backendclient lightweight
0 likes · 8 min read
How 58.com Scaled Its IM Platform to Billions of Requests: Architecture & Push Strategies