markise 350x350 Lykke Vollkassetten-Markise 3x2,5 m, dunkelgrau - 799,00 EUR
SKU: 85370570724
markise 350x350

markise 350x350 Lykke Vollkassetten-Markise 3x2,5 m, dunkelgrau - 799,00 EUR

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Description

markise 350x350 Lykke Vollkassetten-Markise 3x2,5 m, dunkelgrau - 799,00 EURProduktinformationen: Gre: 300x250 cm Gewicht: 46 kg Material: Aluminiumrahmen + 300g Acryl Farbe: Kaltgrau Eigenschaften: Motorisiert, Vollkassetten Design, windbestndig Lykke Vollkassetten Markise 3x2,5 m, dunkelgrau Steigern Sie den Komfort Ihres Auenbereichs mit der Lykke Vollkassetten Markise in elegantem Dunkelgrau. Diese hochmoderne Markise kombiniert ausgezeichnete Funktionalitt mit einem stilvollen Design, um Ihren Garten oder Terrasse

Produktinformationen:

  • Größe: 300x250 cm
  • Gewicht: 46 kg
  • Material: Aluminiumrahmen + 300g Acryl
  • Farbe: Kaltgrau
  • Eigenschaften: Motorisiert, Vollkassetten-Design, windbeständig

Lykke Vollkassetten-Markise 3x2,5 m, dunkelgrau

Steigern Sie den Komfort Ihres Außenbereichs mit der Lykke Vollkassetten-Markise in elegantem Dunkelgrau. Diese hochmoderne Markise kombiniert ausgezeichnete Funktionalität mit einem stilvollen Design, um Ihren Garten oder Terrasse optimal zu ergänzen. Die motorisierte Funktion ermöglicht eine einfache und mühelose Bedienung, ideal für jegliches Wetter. Das robuste Aluminiumgestell und der hochwertige Acrylstoff garantieren Langlebigkeit und Zuverlässigkeit. Ob Regen oder Sonnenschein, die Lykke Markise bietet zuverlässigen Schutz und ist dabei ein visuelles Highlight in jedem Außenbereich.

  • Vollkassettendesign: Das vollständig geschlossene Kassettensystem schützt das Markisentuch, wenn es nicht in Gebrauch ist, vor Wettereinflüssen und Schmutz.
  • Motorisierte Steuerung: Genießen Sie Komfort auf Knopfdruck mit der einfach zu bedienenden, motorisierten Steuerung, die das Ausfahren und Einziehen der Markise mühelos macht.
  • Robustes Aluminiumgestell: Das aus starkem Aluminium gefertigte Gestell bietet höchste Stabilität und gewährleistet eine lange Lebensdauer Ihrer Markise.

Lykke - Wo Innovation auf Einfachheit trifft

Entdecken Sie die Freude an einem vereinfachten, innovativen Zuhause mit Lykke. Unsere Mission ist es, Heimwerken und Elektronik neu zu definieren und es einfacher und angenehmer zu machen, Ihren Wohnraum zu verbessern. Von benutzerfreundlichen DIY-Werkzeugen bis hin zur neuesten Heimtechnologie bieten wir clevere Lösungen, die Ihr Zuhauseerlebnis verbessern. Tauchen Sie ein in unsere Kollektion und finden Sie alles, was Sie brauchen, um Ihr Zuhause in die Zukunft zu bringen. Mit Lykke ist Ihr nächstes Projekt nicht nur eine Aufgabe; es ist eine Gelegenheit, Ihren Raum zu innovieren und Ihr Leben zu vereinfachen.

Entspannung im Freien neu definiert

Eine Markise bietet nicht nur Schutz vor der Sonne und gelegentlichen Regenschauern, sondern erweitert auch Ihren Wohnraum nach außen. Mit einer hochwertigen Markise genießen Sie folgende Vorteile:

  • Langlebigkeit: Durch den Schutzmechanismus bleiben die Materialien vor Witterungseinflüssen geschützt und halten daher länger.
  • Bedienkomfort: Moderne Markisen lassen sich ganz einfach per Motor steuern, was die Nutzung besonders komfortabel macht.
  • Ästhetische Integration: Sie fügen sich nahtlos in moderne Architektur ein und verleihen jeder Terrasse oder jedem Patio einen Hauch von Eleganz und Stil.

Warum Sie sich für die Lykke Vollkassetten-Markise 3x2,5 m, dunkelgrau entscheiden sollten

Die Lykke Vollkassetten-Markise bietet nicht nur ein elegantes Design in kühlem Grau und eine robuste Konstruktion, sondern garantiert auch Funktionalität und Langlebigkeit. Durch das vollständig schließbare Kassettendesign ist die Markise geschützt, wenn sie nicht in Gebrauch ist, was die Lebensdauer erheblich verlängert. Zusätzlich sorgt das motorisierte System für eine mühelose Bedienung. Mit einfachem Knopfdruck lässt sich die Markise ausfahren oder einfahren, was die Bedienung zum Kinderspiel macht. Dieses Premium-Schattierungssystem eignet sich ideal für moderne Terrassen und Patios und bietet eine optimale Lösung zum Schutz vor Sonne und leichtem Wind. Die robuste Aluminiumstruktur gepaart mit hochwertigem Acrylstoff ist nicht nur wetterbeständig, sondern auch besonders pflegeleicht, was Ihnen über Jahre hinweg Freude bereiten wird.

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SKU: 85370570724

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D
Verified Purchase
David Escobar
Phoenix, US
★★★★★ 5
Good starting point. But can't find the code.
Format: Kindle
Reading chapter 3. It was so far so good, but can't find the code in the repo. "All the related code can be found in the repository under project/hooks-notification." And in the repo I see no project folder. Please help!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 3, 2026
W
Verified Purchase
WU.
Waukegan, US
★★★★★ 4
Good overview of the leading Agentic Framework. Will become outdated quickly.
Format: Paperback
3.5 Stars rounded up. Not a bad place to start if you need to get up to speed fast with Claude Code, understand its vast feature set, how it works under the hood, best practices, and the various agent primitives and how to get the most out of them. Agentic frameworks (Claude Code in particular) are quickly becoming table stakes for anyone working in tech, so it's best to start now. I appreciated the author's ability to flesh out areas where Anthropic's documentation is lacking in depth and nuance, and for some not already working with Claude in their own repos, the fact that he provides "toy" repos where one can experiment with the tools without fear of consequence. Where the book falls short is that most of the stuff in here is already covered pretty well already in Anthropic's docs, or even better so in their free "Skilljar" courses. What's more, some areas are given a bit of a shallow treatment, while others are a bit better done. So it's a bit inconsistent in that sense. Also, I can see how this book will quickly lose its currency in a few months at the pace things are going. Ultimately, for me, the price of this book was a bit rich for my liking given the criticisms above. Still, I feel like I got valuable info that rounded up what I already knew from working with this agentic framework. Recommended.
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Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Phoenix, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
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Reviewed in the United States on May 20, 2026
U
UA
Draper, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
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Reviewed in the United States on May 20, 2026
C
Christopher West
Birmingham, 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

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