SKU: 37228076864

2006-2009 For Cadillac BLS L4, V6 1.9, 2.8 Transmission Master Rebuild Kit TF80-SC TF81-SC AF40

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Description

2006-2009 For Cadillac BLS L4, V6 1.9, 2.8 Transmission Master Rebuild Kit TF80-SC TF81-SC AF40TF80 SC TF81 SC AF40 Transmission Master Rebuild Kit For Ford Land Rover Feature: 1: According to the original factory specifications,perfect match for the original car. 2: Own different test machines to design exact accurate parameter for our products. All items were tested for performance. 3: Made by high quality material, lightweight, anti rust, colorfast and durable. 4: Aftermarket product with premium quality. 5: Stable performance, high

TF80-SC TF81-SC AF40 Transmission Master Rebuild Kit For Ford Land Rover

Feature:
1: According to the original factory specifications,perfect match for the original car.
2: Own different test machines to design exact accurate parameter for our products.All items were tested for performance.
3: Made by high quality material, lightweight, anti-rust, colorfast and durable.
4: Aftermarket product with premium quality.
5: Stable performance, high reliability,suitable for replacing your broken one.

Specifics:
Condition: 100% Brand New
Material: Metal
Color: show as pictures
Manufacturer Part Number: TF80-SC, TF81-SC, AF40
Interchange Part Number: TF80, TF81, AF40
Other Part Number: TF80SC, TF81SC, AF40
Type: Transmission Master Rebuild Kit
Fitment Type: Direct Replacement

Fitment:
For Ford Five Hundred 2005-07 V6 3.0
For Ford Fusion 2006-09 V6 3.0
For Ford Galaxy 2007-12 L4 2.0, 2.3
For Ford Mondeo 2007-12 L4 2.0, 2.3
For Ford S-MAX 2007-12 L4 2.0, 2.3
For Ford Taurus 2004-07 V6 3.0
For Ford Truck Freestyle 2005-07 V6 3.0
For Land Rover LR2 FreeLander 2006-14 L4, L6 2.0, 2.2, 3.0, 3.2
For Land Rover Range Rover Evoque LRX 2011-12 L4, L6 2.0, 2.2, 3.0
For Land Rover FREELANDER(LR2) 06-14 6 SP L4 2.0L 2.2L L6 3.0L 3.2L
For Land Rover RANGE ROVER 11-13 6 SP L4 2.0L 2.2L L6 3.0L
For Mercury Milan 2006-09 V6 3.0
For Mercury Montego 2005-07 V6 3.0
For Mercury Sable 2004-07 V6 3.0
For Fiat Croma 2005-11 L4, L5 1.9, 2.0, 2.4
For Fiat Ulysse 2008-12 L4 2.2
For Fiat CROMA 05-11 6 SP FWD L4 1.9L 2.0L L5 2.4L
For Fiat ULYSSE 08-11 6 SP FWD L4 2.2L
For Mazda 6S 2005-09 V6 3.0
For Mazda 6 2009-13 V6 3.7
For Mazda CX-7S 2007-12 L4 2.3
For Mazda CX-9 2007-15 V6 3.5, 3.7
For HYUNDAI VERACRUZ 06-14 6 SP V6 3.0L 3.5L 3.8L
For Lincoln MKZ 2006-12 V6 3.0, 3.5
For Lincoln Zephyr 2006-08 V6 3.0
For VOLVO S/V60 05-13 6 SP F/AWD L5 2.0L 2.4L L5 2.0L V6
For VOLVO S60L 13-14 6 SP FWD L4 2.0L V6 3.0L
For VOLVO V60 12-14 6 SP FWD L4 2.0L L5 2.4L V6 3.0L
For VOLVO V70 01-14 6 SP F/AWD L5 2.4L 2.5L V6 3.2L
For VOLVO XC70 07-14 6 SP F/AWD L5 2.0L L5 2.4L V6 3.0L 3.2L
For VOLVO XC90 05-14 6 SP F/AWD L5 2.4L V6 3.2L V8 4.4L
For VOLVO S60/R T5, 2005-07 V6 2.0, 2.4, 3.0, 3.2
For VOLVO S80 2006-15 L4, T5, V6, V8 2.0, 2.4, 2.5, 3.0, 3.2, 4.4
For VOLVO V60 T5, 2005-08 V6 2.0, 2.4, 3.0, 3.2
For VOLVO V70 T5, 2008-09 L6 2.4, 2.5, 3.2
For VOLVO V70R T5, 2006-08 L6 2.4, 2.5, 3.2
For VOLVO XC70 T5, 2008-09 V6 2.4, 3.0, 3.2
For VOLVO XC90 T5, 2005-09 L6, V8 2.4, 3.2, 4.4
For VOLVO C70 T5 2010-13 2.4
For VOLVO S60 2006-16 L5, L6 2.5, 3.0
For VOLVO S80 2010-13 L6, V8 3.0, 3.2, 4.4
For VOLVO V70 T5, 2010-12 L6 2.4, 2.5, 3.2
For VOLVO XC60 2010-16 V6 3.0, 3.2
For VOLVO XC90 2010-15 L6, V8 3.2, 4.4
For VOLVO C30/C30 R 10-12 6 SP F/AWD L5 2.0L 2.4L
For VOLVO C70 10-13 6 SP FWD L5 2.4L
For VOLVO V60 12-14 6 SP FWD L4 2.0L L5 2.4L L6 3.0L TF-80SD
For VOLVO XC60 08-14 6 SP F/AWD L4 2.0L L5 2.4L V6 3.0L 3.2L
For Saab 9-3 2006-09 L4, V6 1.9, 2.0, 2.8
For Saab 9-3 2010-12 L4, V6 1.9, 2.0, 2.8
For Saab 9-5 2010-12 V6 2.8
For Cadillac BLS 2006-09 L4, V6 1.9, 2.8
For Cadillac SRX 2010-12 V6 2.8
For Jaguar X TYPE 08-10 6 SP AWD L4 2.2L
For Opel Astra 2006-09 L4 2.2
For Opel Insignia 2008-09 L4, V6 2.0, 2.8
For Opel Signum 2005-09 L4 1.9, 2.8, 3.0
For Opel Vectra 2005-09 L4, V6 1.9, 2.8, 3.0
For Opel Astra 2010-12 L4 1.9
For Opel Insignia 2010-12 L4 2.0, 2.8
For Opel Signum 2010-12 L4 1.9, 2.8, 3.0
For Opel Zafira 2010-11 L4 1.9, 2.0
For Opel ANTARA 12-14 6 SP F/AWD L4 2.2L
For Renault Espace 2006-14 V6 3.0
For Renault Vel Satis 2006-09 V6 3.0
For Renault Vel Satis 2010 V6 3.0
For Citroen C4/C4 PICASSO 06-14 6 SP FWD L4 1.6L 2.0L
For Citroen DS4 2011-12 L4 2.0
For Citroen C5 04-14 6 SP FWD L4 2.0L 2.2L V6 2.7L 2.9L 3.0L
For Citroen C6 02-12 6 SP FWD L4 2.2L V6 2.7L 2.9L 3.0L
For Citroen C8 05-10 6 SP FWD L4 2.2L V6 2.9L
For Citroen DS4 11 6 SP FWD L4 2.0L
For Citroen DS5 12-14 6 SP FWD L4 2.0L 2.2L
For Buick Regal 2011-17 L4 2.0
For Buick Alfa Romeo
For Buick 159 2006-10 L4, L5, V6 1.9, 2.0, 2.4, 3.2
For Buick Brera 2005-09 V6 3.2
For Buick Spider 2006-10 L5, V6 2.4, 3.2
For Buick Brera 2010-11 L5, V6 2.4, 3.2
For Buick Giulia 2012-13 L4 2.0
For Buick 159 06-10 6 SP F/AWD L4 1.9L 2.0L L5 2.4L V6 3.2L
For Buick GUILIA 10-11 6 SP F/AWD L4 2.0L
For Lancia Phedra 2008-12 L4 2.2
For Lancia Thesis 2005-12 L5 2.4
For Lancia Delta 2010-12 L4 1.8
For Peugeot 307 2006-08 L4 2.0
For Peugeot 308 2008-09 L4 2.0
For Peugeot 407 2006-09 L4, V6 2.0, 2.7, 2.9, 3.0
For Peugeot 607 2005-09 V6 2.7, 2.9
For Peugeot 807 2006-09 L4 2.2
For Peugeot 308 2010-12 L4, V6 2.0, 2.2, 2.7, 2.9, 3.0
For Peugeot 407 2010-12 L4, V6 2.0, 2.2, 2.7, 2.9, 3.0
For Peugeot 508 2010-12 L4, V6 2.0, 2.2, 2.7, 2.9, 3.0
For Peugeot 607 2010-11 V6 2.2, 2.7, 2.9
For Peugeot 807 2010-11 V6 2.2, 2.7, 2.9
For Peugeot 3008 2010-14 L4 2.0, 2.2
For Peugeot 5008 2010-14 L4 2.0, 2.2
For Peugeot 401 14 6 SP FWD L3 1.2L
For Peugeot 408 11 6 SP FWD L4 2.0L 2.2L V6 2.9L 3.0L
For Peugeot 508 11-14 6 SP F/AWD L4 2.0L 2.2L V6 2.9L
***If you are not sure,please provide vin for us！

Package Include:
1x TF80-SC TF81-SC AF40 Transmission Master Rebuild Kit
[* Instruction is Not included!]

Note:
1.Please check the description or use the year/make/model check finder and replace part numbers to confirm the compatibility before purchasing.
2.Professional installation is recommended.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
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Shipping Notes
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SKU: 37228076864

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4.0 ★★★★★
Based on 27 reviews
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Product Reviews
W
Verified Purchase
WU.
Omaha, 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
Whiting, 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
Port Orchard, 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
Natrona Heights, 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
Battle Creek, 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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