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Description
Hitachi 日立 BD-D120XJV 洗衣12.0公斤 + 乾衣8.0公斤 1600轉 前置式變頻洗衣乾衣機BD D120XJV Intelligent Wash 8 & IoT 60 + 12 8 1600 220 240V 50Hz ( x x )600 x 850 x 650 () (MAG) 530mm 210
智能科技，極致潔淨體驗
BD-D120XJV 洗衣乾衣機配備多項日立獨家技術，從洗衣、乾衣到日常護理，全面照顧您的需要，讓洗衣過程變得前所未有地輕鬆。
- Intelligent Wash 智能洗護：內置8種感應器，能自動偵測衣物材質及負載量，智能調節水量、洗滌時間及模式，達致最佳洗衣效果同時節能省水。
- 自調洗衣劑量系統：自動投入適量的洗衣液及柔順劑，避免浪費及殘留，每次洗衣都恰到好處。
- 風速熨衣 & 蒸氣熨衣：「風速熨衣」功能利用高速風吹拂衣物，有效撫平皺摺；「蒸氣熨衣」則以高濕度蒸氣減少衣物異味及皺紋，適合快速護理輕著衣物。
- IoT 智能手機控制：透過專用手機應用程式，您可以遙距操控洗衣機、查閱洗衣狀態、接收完成通知及下載新洗衣模式，享受智能生活便利。
- 多重衛生洗衣程序：提供「60℃除菌」功能，有效殺滅細菌；「空氣洗滌」則無需用水，以溫風去除衣物上的異味和塵埃。
- 自動內外桶清洗：每次洗衣時，機器會自動清潔洗衣桶的內外側，有效預防污垢積聚，保持滾筒衛生。
- 雙重防震動系統+：結合高效能懸掛系統及振幅感應器，確保洗衣及脫水過程極致寧靜穩定。
產品規格
- 洗衣容量：12公斤
- 乾衣容量：8公斤
- 最高脫水轉速：1600轉/分鐘
- 電源：220 - 240V 50Hz
- 產品尺寸 (闊 x 高 x 深)：600 x 850 x 650 毫米 (不包括接駁位及凸出部分)
- 顏色：紫灰色 (MAG)
- 主要特點：玻璃觸控面板、滾筒內置燈光、530mm直徑滾筒
- 產地：中國
- 保用：全機2年，變頻摩打10年
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4.2 ★★★★★
Based on 7 reviews
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Product Reviews
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that.
As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book.
It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book.
The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned.
I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations.
In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject.
Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
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Reviewed in the United States on April 11, 2026
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform.
The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
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Reviewed in the United States on May 12, 2026
★★★★★ 5
Essential Reading for Developers Serious About Agentic AI Workflows with Claude Code
Format: Paperback
Agentic Coding with Claude Code is easily one of the most practical and forward-thinking AI development books I’ve read. Instead of treating Claude Code like a simple chatbot, this book shows how to turn it into a true agentic development platform capable of handling real-world engineering workflows.
What I appreciated most was how actionable the content is. The explanations around slash commands, hooks, persistent memory files, and MCP servers are incredibly clear and immediately useful. The author does an excellent job balancing foundational concepts with hands-on implementation, making advanced topics like multi-agent orchestration and hierarchical delegation approachable for experienced developers.
The chapters on MCP and context engineering were especially valuable. Most AI books stay at the surface level, but this one dives deep into structured context sharing, workflow automation, and scalable AI-assisted development practices that actually matter in production environments.
I also liked that the book focuses heavily on maintainability and control. It doesn’t just show flashy demos—it teaches how to safely integrate AI agents into existing terminal and IDE workflows while enforcing coding standards and keeping projects organized.
The examples using Claude Code with Next.js projects were practical and helped connect the concepts to real software engineering scenarios. The sections on subagents, planning workflows, and reusable automation patterns opened my eyes to entirely new ways of approaching AI pair programming and development productivity.
If you are a developer, AI engineer, or technical lead looking to move beyond basic prompt engineering and build reliable, scalable AI-assisted workflows, this book is absolutely worth reading. Highly recommended for anyone serious about modern agentic coding and AI-powered software development.
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Reviewed in the United States on May 9, 2026
★★★★★ 5
Agentic Coding - all the right pieces in the right places
Format: Paperback
Before obtaining a copy of this book, I had not yet become familiar with Claude Code and didn't realize how robust AI Pair Programming is now. However, I did know and have rigorously promoted the absolute importance of Context (via Context Engineering) in any AI-prompted tasks, including coding. This book brings all of that together in an incredibly useful book (dare I say... a comprehensive toolkit and handbook) for AI-prompted coding in these multiple modalities: IDE, command-line, and pair programming. It covers memory management, agents, subagents, multiple-agent systems, context-sharing, orchestration, enforcement of coding standards, code maintenance, and more - for executing AI-assisted development with confidence. I highly recommend this book.
Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on May 19, 2026
★★★★★ 5
Perfect size for me
Color: Light Color Series, Style: Waffle Pattern, Color: Light Color Series, Style: Waffle Pattern
Washed the cloths before use with just detergent. Pretty much stayed it shape and fluffy texture. It lathers well with any soap and drys fast. Love the texture size more than the exfoliating size. Texture side is great for sensitive face cleaning. The exfoliating side did soften after repeated use. I feel it is still little to rough for the face, but great for the body.
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Reviewed in the United States on June 18, 2025
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