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Latest from DeWu Technology

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DeWu Technology

Sep 2, 2026 · R&D Management

AI-Native Delivery Evolution: Harness Framework for Controllable, Auditable Engineering

This article details Dewu's 'Delivery Harness' system—Version Contract, Execution Boundary, Evidence Gate, and Repair Loop—that enables a solo developer to manage AI-assisted full-stack delivery across multiple runtimes with verifiable contracts, evidence-gated promotions, and feedback-driven system upgrades, proven via a multi-SKU order fulfillment case study.

AI-Native DeliveryDelivery HarnessEvidence Gate

0 likes · 25 min read

AI-Native Delivery Evolution: Harness Framework for Controllable, Auditable Engineering

DeWu Technology

Aug 26, 2026 · Artificial Intelligence

Enterprise MultiAgent Memory: Short-Term Context & Four-Layer Architecture

The article details a four-layer memory system for enterprise MultiAgent platforms, covering short-term memory loading/writing with Redis/MySQL, long-term memory retrieval via MemOS semantic search, token budget allocation, LLM-based memory judgment, deduplication, conflict resolution, and write-before-delete strategies.

Conflict ResolutionDeduplicationLLM Judgment

0 likes · 31 min read

Enterprise MultiAgent Memory: Short-Term Context & Four-Layer Architecture

DeWu Technology

Aug 19, 2026 · Artificial Intelligence

How EP-Harness Turns Personal AI Coding into a Team‑Level Agent Workflow

The article analyzes the shortcomings of using AI coding tools individually—such as unreviewed prompts, lost experience, lack of visibility, and broken development loops—and explains how EP-Harness provides a managed‑agent platform with layered architecture, unified execution contracts, context engineering, and loop automation to turn AI agents into governed, team‑wide production assets.

AI AgentsAI codingautomation loop

0 likes · 12 min read

How EP-Harness Turns Personal AI Coding into a Team‑Level Agent Workflow

DeWu Technology

Aug 12, 2026 · Artificial Intelligence

Building a Judgmental RAG Agent: From Simple Search to Autonomous Search‑Filter‑Dive‑Validate Loop

This article details the design of a composite‑retrieval RAG Agent using AgentScope 2.0, covering its HarnessAgent architecture, ReAct loop, middleware‑driven three‑stage quality pipeline, multi‑source parallel search, multimodal image handling, production‑grade SSE resume, model failover, and future roadmap.

AgentScopeComposite RetrievalJava

0 likes · 23 min read

Building a Judgmental RAG Agent: From Simple Search to Autonomous Search‑Filter‑Dive‑Validate Loop

DeWu Technology

Jul 29, 2026 · Backend Development

AI‑Native Development for Transaction Core: A Five‑Gate Framework to Stabilize Legacy Systems

To adapt legacy order‑system development to AI‑generated code, the authors propose a five‑gate, spec‑driven workflow—demand clarification, technical design, TDD implementation, gate‑controlled review, and end‑to‑end telemetry—built on a five‑layer bottom‑up architecture that enforces stability, observability, and human‑validated safeguards.

AI codingSpec-Driven DevelopmentTDD

0 likes · 17 min read

AI‑Native Development for Transaction Core: A Five‑Gate Framework to Stabilize Legacy Systems

DeWu Technology

Jul 23, 2026 · Artificial Intelligence

When Engineers Cross Boundaries: How “Boundary‑Breaking” Boosted Problem Solving at Dewu

The Dewu tech team’s recent “boundary‑crossing” incidents—engineers skipping formal specs to talk directly with users and operations—led to deeper problem understanding, rapid prototyping, and measurable improvements such as 60% automated answers, 30% support load reduction, and 50% faster onboarding.

AI assistantAI platformLLM

0 likes · 7 min read

When Engineers Cross Boundaries: How “Boundary‑Breaking” Boosted Problem Solving at Dewu

DeWu Technology

Jul 22, 2026 · Artificial Intelligence

Understanding RAG: Chunking, Embedding, Similarity, HNSW and Multi‑Path Retrieval

This article explains why Retrieval‑Augmented Generation is needed, walks through the offline and online pipeline, details knowledge sources, embedding models, chunking strategies, similarity metrics, the HNSW index, multi‑path recall, RRF fusion and cross‑encoder reranking, and summarizes practical takeaways for building effective RAG systems.

ChunkingEmbeddingHNSW

0 likes · 36 min read

Understanding RAG: Chunking, Embedding, Similarity, HNSW and Multi‑Path Retrieval

DeWu Technology

Jul 13, 2026 · Artificial Intelligence

From Manual API Calls to Thinking Agents: DeWu Recommendation System Diagnosis

The article details DeWu's evolution from manual, experience‑driven recommendation troubleshooting to an AI‑powered diagnostic platform called “PushCheck”, describing its dual‑mode Highway/ATV architecture, the Story‑Skill framework, knowledge‑base integration, evolution pipeline, and a real‑world case study.

AI agentAutomationDiagnostic Architecture

0 likes · 20 min read

From Manual API Calls to Thinking Agents: DeWu Recommendation System Diagnosis

DeWu Technology

Jul 8, 2026 · Databases

DeWu’s OceanBase Deployment: Multi‑Model Database Selection, Performance Gains, and Migration Lessons

DeWu, a leading fashion e‑commerce platform, evaluated and adopted OceanBase as a multi‑model database to replace a heterogeneous stack of MySQL, TiDB, MongoDB, HBase, ClickHouse, and others, achieving up to 200× query speedups, 40%+ storage savings, high‑availability with RPO = 0, and a streamlined operations model while documenting migration challenges and future roadmap.

Database MigrationDeWuMulti-Model Database

0 likes · 19 min read

DeWu’s OceanBase Deployment: Multi‑Model Database Selection, Performance Gains, and Migration Lessons

DeWu Technology

Jul 1, 2026 · Artificial Intelligence

AI UITester: The New AI‑Native Paradigm for Visual UI Automation Testing

The article analyzes the limitations of traditional UI automation, introduces the AI‑Native ai_uitester pipeline that converts test‑case data with LLM enhancement, implements AI‑driven debugging and self‑healing, and unifies cross‑platform execution through a VLM‑based engine, backed by real‑world metrics.

AI TestingCross-platformLLM

0 likes · 17 min read

AI UITester: The New AI‑Native Paradigm for Visual UI Automation Testing