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DeWu Technology

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DeWu Technology
DeWu Technology
Mar 24, 2025 · Artificial Intelligence

Understanding Multi‑Agent AI Systems: ReAct Architecture, MCP Protocol, and OpenManus Implementation

Understanding multi‑agent AI systems, this article explains how ReAct’s tightly coupled reasoning‑action loop, the Model Context Protocol, and the open‑source OpenManus implementation enable autonomous task planning, tool invocation, and memory management, contrasting traditional chatbots with delivery‑centered agents while highlighting current limitations and future optimization needs.

AI agentsMCPOpenManus
0 likes · 24 min read
Understanding Multi‑Agent AI Systems: ReAct Architecture, MCP Protocol, and OpenManus Implementation
DeWu Technology
DeWu Technology
Mar 19, 2025 · R&D Management

Project Management Evolution: Strategies from the DeWu Algorithm Team

The DeWu Technology Department’s algorithm team outlines its project‑management evolution, confronting shifting business demands and technical complexity, and proposes six strategies—hybrid agile‑waterfall methods, rigorous requirements prioritization, standardized experiment processes, unified documentation, strengthened cross‑team collaboration, and data‑driven outcome quantification—to boost efficiency and business value.

Cross-Team CollaborationData‑Driven Decision Makingagile development
0 likes · 21 min read
Project Management Evolution: Strategies from the DeWu Algorithm Team
DeWu Technology
DeWu Technology
Mar 17, 2025 · Operations

Stability and Its Significance: Challenges and Practices for Building System Reliability

Building system stability requires quantifying risk through formulas, confronting challenges like low short‑term value and resource competition, and implementing a consensus‑driven framework that sets clear goals, cultivates awareness, enforces safety standards, ensures emergency response, conducts routine inspections, and applies sound architecture governance to continuously reduce inherent and change‑related risks.

process improvementrisk managementsoftware reliability
0 likes · 25 min read
Stability and Its Significance: Challenges and Practices for Building System Reliability
DeWu Technology
DeWu Technology
Mar 12, 2025 · Mobile Development

Android Crash Analysis and Fixes: DNS, MediaCodec, BIO, and Focus Issues

The article details four native DeWu Android client crashes—DNS resolution, MediaCodec state‑exception, BIO multi‑thread, and Xiaomi Android 15 focus null‑pointer—explains their root causes, and demonstrates inline‑hook, PLT‑hook, and JNI‑hook fixes that lowered the crash rate from 2/10 000 to about 1.2/10 000.

AndroidCrashAnalysisNativeHook
0 likes · 20 min read
Android Crash Analysis and Fixes: DNS, MediaCodec, BIO, and Focus Issues
DeWu Technology
DeWu Technology
Feb 26, 2025 · Backend Development

Migrating to Rust: A Case Study in High-Performance Computing

Migrating a Java computing layer to Rust yielded dramatic performance gains—30% lower CPU usage, 70% less memory—and greater stability, as the authors explain how Rust’s ownership, borrowing, lifetimes, and concurrency, combined with optimized data handling, FFI integration, Tokio async, Docker deployment, and monitoring, outweigh the steep learning curve and ecosystem gaps.

FFIRustTokio
0 likes · 22 min read
Migrating to Rust: A Case Study in High-Performance Computing
DeWu Technology
DeWu Technology
Feb 24, 2025 · Mobile Development

Design and Implementation of a Mini‑Program Management Platform

The DeWu mini‑program platform unifies WeChat, Alipay and other channels into a single workflow by providing role‑based management, cross‑platform API abstraction, real‑time data synchronization, and Feishu‑linked approval, reducing manual tasks, speeding complaint handling, and boosting operational efficiency while addressing integration and security challenges.

AI toolsMiniProgramPlatformDesign
0 likes · 9 min read
Design and Implementation of a Mini‑Program Management Platform
DeWu Technology
DeWu Technology
Feb 19, 2025 · Artificial Intelligence

Scenario-aware Multi-Scenario Recommendation Models: SACN, SAINet, and DSWIN

The paper presents a comprehensive multi‑scenario recommendation study introducing three models—SACN, SAINet, and DSWIN—that integrate scene‑aware attention, attribute‑level preferences, and contrastive disentanglement to capture distinct user interests, achieving consistent AUC gains and online CTR improvements across real‑world datasets.

CTR predictioncontrastive learningdeep learning
0 likes · 43 min read
Scenario-aware Multi-Scenario Recommendation Models: SACN, SAINet, and DSWIN
DeWu Technology
DeWu Technology
Feb 17, 2025 · Artificial Intelligence

Optimizing Large Model Inference: High‑Performance Frameworks and Techniques

The article reviews high‑performance inference strategies for large language models such as Deepseek‑R1, detailing CPU‑GPU process separation, Paged and Radix Attention, Chunked Prefill, output‑length reduction, tensor‑parallel multi‑GPU scaling, and speculative decoding, each shown to markedly boost throughput and cut latency in real deployments.

AIDistributed inferenceGPU acceleration
0 likes · 22 min read
Optimizing Large Model Inference: High‑Performance Frameworks and Techniques