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Description
Ferrari Carano Chardonnay CV 750mlThis Chardonnay delights with aromas of citrus, pear, vanilla, graham cracker and buttercream perfectly balanced by vibrant, rich avors of baked apple, apricot, cinnamon and hazelnut. Lingering creamy and toasted oak notes round out the nish. This versatile Chardonnay pairs perfectly with seafood, poultry, white meats and dishes with cream sauces. Try preparations that include citrus, butter, cream, cheese, bacon, nutmeg, thyme, basil or toasted nuts.
This Chardonnay delights with aromas of citrus, pear, vanilla, graham cracker and buttercream perfectly balanced by vibrant, rich flavors of baked apple, apricot, cinnamon and hazelnut. Lingering creamy and toasted oak notes round out the finish. This versatile Chardonnay pairs perfectly with seafood, poultry, white meats and dishes with cream sauces. Try preparations that include citrus, butter, cream, cheese, bacon, nutmeg, thyme, basil or toasted nuts.
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4.1 ★★★★★
Based on 2420 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
Great quality
Color: Light Color Series, Style: Waffle Pattern
These are a bit oversized compared to regular washcloths but that makes it easier when exfoliating your own back.
The one side is soft and plush. They are easy to wring out.
They wash up nicely. I use a linen bag when washing them but it's not necessary.
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Reviewed in the United States on May 3, 2025