SKU: 96362708426

Wheel Spacers 15mm 74,1mm 5X120

$36.62 $40.69
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Description

Wheel Spacers 15mm 74,1mm 5X120The price applies to a set for one axle without screws. 15mm thick spacers per side with centering flange. Product description: material PA6 duralumin distance thickness 15mm per side (30mm per axis) hole collar diameter 74. 1mm hole spacing 5x120mm screws: Wheel bolt M12x1. 25 40mm Cone Wheel bolt M12x1. 5 40mm Ball Wheel bolt M12x1. 5 40mm Cone Wheel bolt M14x1. 5 40mm Ball Wheel bolt M14x1. 5 40mm Cone screw hardness 10. 9 The spacers match: BMW 5

The price applies to a set for one axle without screws.

15mm thick spacers per side with centering flange.

Product description:

  • material - PA6 duralumin
  • distance thickness - 15mm per side (30mm per axis)
  • hole / collar diameter - 74.1mm
  • hole spacing - 5x120mm
  • screws:
    • Wheel bolt M12x1.25 40mm Cone
    • Wheel bolt M12x1.5 40mm Ball
    • Wheel bolt M12x1.5 40mm Cone
    • Wheel bolt M14x1.5 40mm Ball
    • Wheel bolt M14x1.5 40mm Cone
  • screw hardness 10.9

The spacers match:

BMW 5 Series 256S 525i (E-DD25) 1996-1998
BMW 5 Series 256S 525i (GF-DM25) 1998-2000
BMW 5 Series 256S 525i (GH-DT25) 2000-2003
BMW 5 Series 256S 525i Touring (GH-DS25) 2000-2004
BMW 5 Series 256S 525i Touring (GH-DS25A) 2001-2003
BMW 5 Series 286S 528i (E-DD28) 1996-2000
BMW 5 Series 286S 528i (GF-DM28) 1998-2000
BMW 5 Series 286S 528i Touring (E-DD28A) 1997-2000
BMW 5 Series 286S 528i Touring (GF-DP28) 1998-1999
BMW 5 Series 306S 530i (GH-DT30) 2000-2003
BMW 5 Series 306S 530i Touring (GH-DS30) 2000-2004
BMW 5 Series 448S 540i (E-DE44) 1996-1998
BMW 5 Series 448S 540i (GF-DN44) 1998-2000
BMW 5 Series 448S 540i (GH-DN44) 2000-2002
BMW 5 Series M47D20 520d 2000-2003
BMW 5 Series M47D20 520d Touring 2000-2004
BMW 5 Series M51D25 525tds 1996-2000
BMW 5 Series M51D25 525tds Touring 1997-2000
BMW 5 Series M52B20 520i 1996-2000
BMW 5 Series M52B20 520i Touring 1997-2000
BMW 5 Series M52B25 523i 1995-2000
BMW 5 Series M52B25 523i Touring 1996-2000
BMW 5 Series M52B28 528i 1995-1996
BMW 5 Series M52B28 528i Touring 1997-2000
BMW 5 Series M52B28TU 528i 1997-2000
BMW 5 Series M54B22 520i 2001-2003
BMW 5 Series M54B22 520i Touring 2001-2004
BMW 5 Series M54B25 525i 2000-2003
BMW 5 Series M54B25 525i Touring 2000-2004
BMW 5 Series M54B30 530i 2000-2003
BMW 5 Series M54B30 530i Touring 2000-2004
BMW 5 Series M57D25 525d 2000-2003
BMW 5 Series M57D25 525d Touring 2000-2004
BMW 5 Series M57D30 530d 1998-2003
BMW 5 Series M57D30 530d Touring 1998-2004
BMW 5 Series M62B35 535i 1996-2003
BMW 5 Series M62B44 540i 1996-2003
BMW 5 Series M62B44 540i Touring 1997-2004
BMW M5 508S M5 (GF-DE50) 1999-2000
BMW M5 S62B50 M5 1999-2000
BMW X5 B47D20B sDrive25d 2016-2018
BMW X5 B47D20B xDrive25d 2016-2018
BMW X5 I4 xDrive28i 2015-2018
BMW X5 M57D30 3.0d 2006-2008
BMW X5 M57D30 3.0sd 2006-2008
BMW X5 M57D30 xDrive30d 2008-2010
BMW X5 M57D30 xDrive35d 2008-2010
BMW X5 N20B20 xDrive40e 2016-2018
BMW X5 N20B20A xDrive40e 2015-2015
BMW X5 N20B20A-P251 xDrive40e (CLA-KT20) 2015-2018
BMW X5 N47D20D sDrive25d 2013-2015
BMW X5 N47D20D xDrive25d 2013-2015
BMW X5 N52B30 3.0si 2006-2008
BMW X5 N52B30 xDrive30i 2009-2010
BMW X5 N52B30A 3.0si (ABA-FE30) 2007-2008
BMW X5 N52B30A xDrive30i 2008-2008
BMW X5 N52B30A xDrive30i (ABA-FE30) 2008-2010
BMW X5 N55B30 sDrive35i 2014-2018
BMW X5 N55B30 xDrive35i 2011-2018
BMW X5 N55B30A xDrive35i 2010-2013
BMW X5 N55B30A xDrive35i (ABA-ZV30S) 2010-2010
BMW X5 N55B30A xDrive35i (DBA-KR30) 2013-2018
BMW X5 N55B30A xDrive35i (DBA-KR30S) 2013-2018
BMW X5 N55B30A xDrive35i (DBA-ZV30S) 2010-2013
BMW X5 N57D30 xDrive35d 2011-2018
BMW X5 N57D30A xDrive30d 2010-2018
BMW X5 N57D30A xDrive30d (LDA-ZW30S) 2012-2013
BMW X5 N57D30A xDrive35d (LDA-KS30) 2013-2018
BMW X5 N57D30A xDrive35d (LDA-KS30S) 2013-2018
BMW X5 N57D30B xDrive40d 2010-2018
BMW X5 N57D30C M50d 2011-2018
BMW X5 N62B48 4.8i 2007-2008
BMW X5 N62B48 xDrive48i 2009-2010
BMW X5 N62B48B 4.8i 2006-2006
BMW X5 N62B48B 4.8i (ABA-FE48) 2007-2008
BMW X5 N62B48B xDrive48i 2008-2008
BMW X5 N62B48B xDrive48i (ABA-FE48) 2008-2010
BMW X5 N63B44 xDrive50i 2011-2018
BMW X5 N63B44A xDrive50i 2010-2010
BMW X5 N63B44A xDrive50i (ABA-ZV44S) 2010-2013
BMW X5 N63B44B xDrive50i 2013-2013
BMW X5 N63B44B xDrive50i (CBA-KR44) 2013-2018
BMW X5 N63B44B xDrive50i (CBA-KR44S) 2013-2018
BMW X5 M S63B44A X5 M 2009-2013
BMW X5 M S63B44A X5 M (ABA-GY44) 2009-2013
BMW X5 M S63B44B X5 M 2014-2018
BMW X5 M S63B44B X5 M (ABA-KT44) 2014-2018
BMW X6 I4 xDrive28i 2015-2019
BMW X6 M57D30 xDrive30d 2008-2010
BMW X6 M57D30 xDrive35d 2008-2010
BMW X6 N54B30 xDrive35i 2008-2010
BMW X6 N54B30A xDrive35i (ABA-FG30) 2008-2010
BMW X6 N55B30 sDrive35i 2015-2019
BMW X6 N55B30 xDrive35i 2011-2019
BMW X6 N55B30A xDrive35i 2014-2014
BMW X6 N55B30A xDrive35i (ABA-FG35) 2010-2010
BMW X6 N55B30A xDrive35i (DBA-FG35) 2010-2014
BMW X6 N55B30A xDrive35i (DBA-KU30) 2014-2019
BMW X6 N55B30A xDrive35i (DBA-KU30S) 2014-2019
BMW X6 N57D30A xDrive30d 2011-2014
BMW X6 N57D30A xDrive30d 258 2014-2019
BMW X6 N57D30B xDrive40d 2010-2019
BMW X6 N57D30C M50d 2012-2019
BMW X6 N57D30L xDrive30d 249 2014-2019
BMW X6 N63B44 ActiveHybrid X6 2010-2012
BMW X6 N63B44 xDrive50i 2008-2019
BMW X6 N63B44A ActiveHybrid X6 2009-2009
BMW X6 N63B44A ActiveHybrid X6 (AAA-FH44) 2010-2012
BMW X6 N63B44A xDrive50i (ABA-FG44) 2008-2014
BMW X6 N63B44B xDrive50i 2014-2014
BMW X6 N63B44B xDrive50i (CBA-KU44) 2014-2019
BMW X6 N63B44B xDrive50i (CBA-KU44S) 2014-2019
BMW X6 M S63B44A X6 M 2009-2014
BMW X6 M S63B44A X6 M (ABA-GZ44) 2009-2014
BMW X6 M S63B44B X6 M 2014-2019
BMW X6 M S63B44B X6 M (ABA-KT44) 2014-2018

Our distancers are made of PA6 duralumin roller, which makes them very durable and lightweight at the same time, which makes them also great for riding on the track.

Both the hole and the centering flange are created with a tolerance of up to 0.05 mm, which ensures accurate centering of the wheel and prevents the occurrence of vibrations on the steering wheel that occur when the rim is not properly aligned.

Screwed on spacers are also made of duralumin with pressed knurled pins or steel threaded sleeves, which prevents thread breakage. Both pins and sleeves are secured against being pulled out when tightening the wheel by their two-stage shape.

The advantage of the distances is the increase in the track width, thanks to which the car behaves better when cornering, and also looks better because the wheels are not hidden in the fenders.

Thanks to the use of spacers, we can mount rims with other parameters such as larger offset (ET), because we level the difference precisely through the spacers. You can also use spacers that change the spacing of the bolts, which allows you to install rims from another car with the same number of fixing bolts.

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WU.
Battle Creek, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Carnegie, 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
Lexington, 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
Port Orchard, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026

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