SKU: 66499526257

bridgestone tyre battlax t33 achter 190 50 zr17 73w tl

$154.77 $171.97
Save 10%
No.2 Bestseller on sm10m.ch >

Pay in installments of $42.99 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 1 - Aug 6

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

bridgestone tyre battlax t33 achter 190 50 zr17 73w tlOntdek de Battlax Sport Touring T33, een band die speciaal is ontworpen voor de nieuwste generatie Sport Touring motorfietsen. Verbeterde levensduur: +47% vergeleken met zijn voorcap Hoge grip op zowel droge als natte oppervlakken Unieke specificatie, geschikt voor zowel lichtgewicht als zwaargewicht motorfietsen Soepele actie in alle omstandigheden Een vertrouwde partner voor langeafstands en dagelijkse ritten Technologien: Bi Gome (3LC) + Cap & Base

Ontdek de Battlax Sport Touring T33, een band die speciaal is ontworpen voor de nieuwste generatie Sport Touring -motorfietsen.


Verbeterde levensduur: +47% vergeleken met zijn voorcap
Hoge grip op zowel droge als natte oppervlakken
Unieke specificatie, geschikt voor zowel lichtgewicht als zwaargewicht motorfietsen
Soepele actie in alle omstandigheden
Een vertrouwde partner voor langeafstands- en dagelijkse ritten

Technologieën:

Bi-Gome (3LC) + Cap & Base

De bi-gomme-technologie combineert een harde verbinding in het midden om de kilometerstand te vergroten, met een zachte verbinding op de schouders om grip in magere hoeken te verbeteren.
Het CAP- en basissysteem versterkt de stijfheid van het loopvlak en optimaliseert zowel hechting als schokabsorptie.

Ultimat -oog

Een bandencontactgebiedmeting en simulatietechnologie. Het optimaliseert de interactie van de band met de weg, waardoor het risico op uitglijden en het verbeteren van zowel grip als een lange levensduur wordt verbeterd.

Mono-spirale riem

Gemaakt van lichte, duurzame filament is gewikkeld rond de bandenomtrek, deze technologie biedt een uniform gripgevoel. Het vermindert het gewicht, verbetert de tractie, stabiliseert snelle prestaties en biedt een betere demping.

Nanopro-tech ™

Nanopro-tech-technologie optimaliseert de moleculaire structuur van de band, waardoor de binding tussen rubber- en silicamoleculen wordt verbeterd. Het vermindert wrijving, warmte en behandelt vervorming, wat leidt tot betere grip en uitgebreide kilometerstand.

RC -polymeer

Optimaliseert de silicagistributie in de rubberverbinding en verbetert de duurzaamheid van het loopvlak. Deze moleculaire optimalisatie verbetert de natte prestaties en stimuleert de kilometerstand.

Silica Rich (voor achterband)

Het verrijken van de rubberen verbinding met silica zorgt voor uitstekende grip in koude en natte omstandigheden, delivatie superieure prestaties op vochtige wegen, vooral voordat de band zijn optimale temperatuur bereikt.

Silica Rich Ex (voor voorkant)

Verhoogd silica -gehalte verbetert de natte prestaties, waardoor betrouwbaardere grip wordt gewaarborgd, met name voor de voorkant.

Hoge trekstoffen Super gepenetreerd koord (HTSPC)

Stalen kabels gemaakt van met rubber geïsoleerde individuele filanten met een hoge thermische geleidbaarheid verbeteren de warmteoverdracht, waardoor het uitbarstingsrisico wordt verminderd. Deze technologie verbetert de stabiliteit bij hoge snelheden en verlengt de duurzaamheid van banden.

Voordelen en functies

Ongekende kilometers

Het gebruik van een nieuwe rubberverbinding voor het achterprofiel, gecombineerd met een evolutie in het ontwerp en de stijfheid van de behandeling, aanzienlijke gevolgen van de levensduur van de T33, die een verbetering van 47% biedt in vergelijking met de precieze.

Een unieke specificatie voor alle motorfietsen

Structurele veranderingen in de bandenconstructie, meteen in de riemen, maken de T33 geschikt voor zowel lichtgewicht als zwaargewicht motorfietsen. Dit nieuwe ontwerp biedt ook progressieve actie en uitstekende feedback voor de rijder, waardoor meer vertrouwen wordt gebracht.

Uitstekende natte prestaties

De T33 bouwt voort op de reeds indrukwekkende natte grip en prestaties van zijn voorloper en gaat nog een stap verder. Het vereist ongeveer 10% minder stuurhoek om natte wegen aan te zetten. De geavanceerde constructie vermindert ook stuurtrillingen. In het geval van plotselinge douches biedt de T33 betrouwbare feedback, waardoor de rijder vol vertrouwen kan navigeren.
ASpect_ratio: 50.0 Position: rear rim_diameter: 17.0 Speed_index: (W)> 270 km/h Tire_category: Sport-Touring (Radial) tire_family: motorcycle & scooter tires tire_load_index: 73.0 tire_pattern: Pat not 190.0 tubeless_or_tuBette: tl - tubeless

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 66499526257

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.4 ★★★★★
Based on 25 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
B
Brahmananda Reddy
Alexandria, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
San Leandro, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
C
Christopher West
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
P
Paul Pollock
Louisville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026
J
Jonathan Reeves
Draper, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026

recommand products

Michel Merlet eucalyptus honing 500g
10.95
XT Luis Protect & go spray 200.00 Milliliter
19.75
Balancepharma HGP033 Gemmoplex focale lymf 100.00 Milliliter
33.75
Homeoden Heel Iodium D30 6.00 Gram
18.99
Treets Hittepit Kersenpit U model nek hittepit 1st
18.49