SKU: 42706558895

Podere Gagliassi - Barolo Commune di Serralunga 2017

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Podere Gagliassi - Barolo Commune di Serralunga 2017Over deze wijn De Barolo Commune di Serralunga van Podere Gagliassi is een wijn uit dezelfde Barolo regio als de Badarina, maar betreft geen specifieke MGA. De wijn staat volledig opzichzelf, met geheel eigen profiel. Deze wijn heeft al een flink aantal jaren rijping achter de rug, waardoor jij als koper een Barolo op dronk kunt kopen! De bodem in de Serralunga vallei betreft zeer voedingsarme Lequio formaties uit het Serravalliano tijdperk en zijn

Over deze wijn

De Barolo Commune di Serralunga van Podere Gagliassi is een wijn uit dezelfde Barolo-regio als de Badarina, maar betreft geen specifieke MGA. De wijn staat volledig opzichzelf, met geheel eigen profiel. Deze wijn heeft al een flink aantal jaren rijping achter de rug, waardoor jij als koper een Barolo op dronk kunt kopen! 

De bodem in de Serralunga vallei betreft zeer voedingsarme Lequio formaties uit het Serravalliano tijdperk en zijn ruim 12 miljoen jaar oud. De Lequio formaties bestaan uit zeer mineraalrijke witte mergel en kalksteen.  

De nebbiolo druiven voor deze Barolo worden handmatige en pas zeer laat geplukt, begin november. Daarna ondergaan ze volledige ontsteling van de druiven en fermenteren en macereren ze in stalen tanks. Tot slot gaat de wijn gedurende 30 maanden op Frans eiken barriques van 225L en een jaar rijping op de fles, alvorens ze beschikbaar komen op de markt. In tegenstelling tot een aantal andere Barolo's van dit wijnhuis ondergaat deze wijn geen nieuw hout, maar houten vaten die al een passage achter de rug hebben.

De 2017 vintage betreft een heel warm jaar en heeft geresulteerd in een zeer krachtige wijn. Bij aanvang maakten de wijnmakers zich enige zorgen over de hoge temperaturen die de druiven zijn ondergaan, maar na bijna 10 jaar in de fles te hebben gezeten lijken tannines, alcohol en aroma's prachtig te zijn geïntegreerd. 

Van deze wijn worden slechts 2000 flessen geproduceerd. Uniek om in huis te halen of om cadeau te doen! 

 

Proefnotitie

De wijn kleurt granaatrood in het glas met oranje schittering, zoals je van een gerijpte nebbiolo mag verwachten. In de neus vallen tonen van specerijen en rood fruit op, maar ook mandarijn en sinasappelschillen op. In de mond volgen meer kruidige tonen, tabak, thee en specerijen, naast gedroogde bloemen, rijpe bessen.  

In de mond merk je dat het Franse eiken de tannines gedurende 30 maanden enorm heeft verfijnd en een aromatische verdieping heeft gegeven. De zuren zijn prachtige lang en de afdronk lijkt eindeloos. Het "strenge" profiel van deze 2017 regeert, maar op een zeer prettige manier met een hartig en kruidig profiel en een zeer lange afdronk. 

 

Kerngegevens

AOC: Barolo, Commune di Serralunga 

Kleur: Rood

Smaakprofiel: Aromatisch, Complex, Fruitig, Kruidig

Druivenras: Nebbiolo (100%) 

Alcoholpercentage: 15%

Inhoud: 0,75 liter

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SKU: 42706558895

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4.4 ★★★★★
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C
Christopher West
Dallas, US
★★★★★ 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
P
Paul Pollock
Phoenix, US
★★★★★ 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
J
Jonathan Reeves
Dallas, US
★★★★★ 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
K
Kirk D. Borne
West Palm Beach, US
★★★★★ 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
C
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CATRINA S
Chelsea, US
★★★★★ 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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