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DeWu Technology
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DeWu Technology

A platform for sharing and discussing tech knowledge, guiding you toward the cloud of technology.

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Recent Articles

Latest from DeWu Technology

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DeWu Technology
DeWu Technology
Jun 24, 2026 · Artificial Intelligence

From Forms to AI Agents: Redesigning Community Event Workflows with LLM‑Powered Agents

The article chronicles how a marketing activity that required ten system switches and over forty manual fields was transformed by replacing simple AI‑assisted form filling with a two‑stage Agent architecture and an aggregated workbench, detailing the architectural choices, trade‑offs, and practical lessons learned.

AI WorkflowAgentAutomation
0 likes · 20 min read
From Forms to AI Agents: Redesigning Community Event Workflows with LLM‑Powered Agents
DeWu Technology
DeWu Technology
Jun 17, 2026 · Artificial Intelligence

From Tracking Requirements to Rule Assets: How Hermes Agent Re‑engineers Data‑Warehouse Workflows

The article details how Hermes Agent transforms fragmented tracking and metric requests into a controlled, auditable workflow by layering persistent memory, skill deposition, unified gateways, and structured tool interfaces, ultimately delivering reusable rule assets and risk‑governed production hand‑offs.

Hermes AgentLLM-agentRisk Governance
0 likes · 12 min read
From Tracking Requirements to Rule Assets: How Hermes Agent Re‑engineers Data‑Warehouse Workflows
DeWu Technology
DeWu Technology
May 20, 2026 · Artificial Intelligence

Claude Code Harness: Turning Data‑Warehouse AI Coding from Ad‑hoc Queries to Rule‑Driven Automation

The article analyzes the shortcomings of current AI‑assisted data‑warehouse development—context forgetting, unstable rule enforcement, and token‑heavy operations—and presents a five‑layer Harness architecture (persistent CLAUDE.md, Auto Memory, deterministic hooks, subagents, and SKILL refactoring) that systematically resolves these issues, boosts reliability, and embeds AI into the development pipeline.

AI codingClaudeContext Management
0 likes · 27 min read
Claude Code Harness: Turning Data‑Warehouse AI Coding from Ad‑hoc Queries to Rule‑Driven Automation
DeWu Technology
DeWu Technology
May 13, 2026 · Big Data

How BP Claw Solves AI Coding Input Challenges in FlinkSpec’s Real‑Time Data Warehouse

The article explains how BP Claw tackles unstable AI coding results by automatically converting low‑quality PRD documents into structured, high‑quality requirements, applying token‑saving strategies, strict hallucination guards, and multi‑skill orchestration, which together boost FlinkSpec’s real‑time data‑warehouse delivery efficiency by up to 30%.

AI codingBP ClawBig Data
0 likes · 17 min read
How BP Claw Solves AI Coding Input Challenges in FlinkSpec’s Real‑Time Data Warehouse
DeWu Technology
DeWu Technology
May 8, 2026 · Interview Experience

From Rookie to Tech Pro in One Year: How Two New Engineers Mastered Real-World Projects

The article interviews two engineers who joined DeWu a year ago, revealing how structured mentorship, hands‑on project ownership, AI model optimization, and a supportive learning ecosystem accelerated their growth from beginners to contributors capable of leading complex technical initiatives.

AI Model Optimizationcareer growthknowledge sharing
0 likes · 13 min read
From Rookie to Tech Pro in One Year: How Two New Engineers Mastered Real-World Projects
DeWu Technology
DeWu Technology
Apr 29, 2026 · Information Security

How a General AI Agent Powers Scalable Gateway Route Security Audits

The article presents a practical AI‑driven security audit system for gateway routes that uses a layered “general Agent + business Skill” design, combines batch AI filtering with human verification, achieves full‑coverage, minute‑level detection, and reduces token costs by over 95 % through multiple optimizations.

AI agentAPI securityMCP Tool
0 likes · 15 min read
How a General AI Agent Powers Scalable Gateway Route Security Audits
DeWu Technology
DeWu Technology
Apr 22, 2026 · Artificial Intelligence

How AI Turns Real‑World Operations into Automated E2E Test Cases

This article details an AI‑driven end‑to‑end testing solution that automatically generates test cases from real operation logs, compares traditional DOM‑based testing with AI‑enhanced approaches, selects Midscene + Qwen2.5‑VL‑72B as the execution engine, and builds a four‑stage pipeline that delivers code‑coverage metrics, platform dashboards, and a quality‑feedback loop for rapid product iteration.

AI TestingCI/CDE2E automation
0 likes · 16 min read
How AI Turns Real‑World Operations into Automated E2E Test Cases
DeWu Technology
DeWu Technology
Apr 15, 2026 · Industry Insights

How Generative AI is Transforming Recommendation: A Deep Dive into DeWu’s Recall System

This article analyzes DeWu's generative recall system, detailing its background, technical design of the Generative and Rerank models, inference workflow, experimental gains in core consumption and diversity metrics, and future engineering directions such as framework migration, LLM integration, and multimodal generation.

Deep Learninggenerative AIindustry insight
0 likes · 12 min read
How Generative AI is Transforming Recommendation: A Deep Dive into DeWu’s Recall System
DeWu Technology
DeWu Technology
Apr 13, 2026 · Artificial Intelligence

How to Turn AI into a Structured Component‑Reuse Assistant: A Three‑Layer Skill Architecture

This article explains why a dedicated AI skill is needed to enforce component‑reuse discipline in a monorepo, outlines a three‑layer design (AGENTS.md, Hook, Skill), and details the implementation of a unified entry point, weighted matching, index pipelines, and feedback loops that together make AI decisions reliable and repeatable.

AIComponent ReuseSkill architecture
0 likes · 13 min read
How to Turn AI into a Structured Component‑Reuse Assistant: A Three‑Layer Skill Architecture
DeWu Technology
DeWu Technology
Apr 1, 2026 · Backend Development

How AI‑Powered /log‑diagnosis Skill Automates Bug Tracing in Backend Logs

This article explains how the /log‑diagnosis Skill, built on Claude Code and the Model Context Protocol (MCP) log platform, creates a closed‑loop workflow that automatically fetches logs, extracts key information, maps it to source code, diagnoses root causes, and generates remediation suggestions, dramatically speeding up backend debugging.

AI debuggingClaude CodeLog Analysis
0 likes · 17 min read
How AI‑Powered /log‑diagnosis Skill Automates Bug Tracing in Backend Logs