SKU: 70064363729

Thule SquareBar 150 Load Bars for Evo Roof Rack System (2 Pack / 60in.) - Black

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Description

Thule SquareBar 150 Load Bars for Evo Roof Rack System (2 Pack / 60in.) - BlackThule SquareBar 150 Load Bars for Evo Roof Rack System (2 Pack 60in.) Black This Part Fits: Year Make Model Submodel 2014 2020,2022 2023 Acura MDX Base 2014 2020,2022 2023 Acura MDX SH AWD 2017 2020 Acura MDX Sport Hybrid 2022 2023 Acura MDX Type S 2019 2023 Acura RDX Base 2022 Acura RDX PMC Edition 2019 2023 Acura RDX SH AWD 2021 2023 Cadillac Escalade Luxury 2021 2023 Cadillac Escalade Premium Luxury 2021 2023 Cadillac Escalade Premium Luxury

Thule SquareBar 150 Load Bars for Evo Roof Rack System (2 Pack / 60in.) - Black

This Part Fits:

Year Make Model Submodel
2014-2020,2022-2023 Acura MDX Base
2014-2020,2022-2023 Acura MDX SH-AWD
2017-2020 Acura MDX Sport Hybrid
2022-2023 Acura MDX Type S
2019-2023 Acura RDX Base
2022 Acura RDX PMC Edition
2019-2023 Acura RDX SH-AWD
2021-2023 Cadillac Escalade Luxury
2021-2023 Cadillac Escalade Premium Luxury
2021-2023 Cadillac Escalade Premium Luxury Platinum
2021-2023 Cadillac Escalade Sport
2021-2023 Cadillac Escalade Sport Platinum
2023 Cadillac Escalade V
2021-2023 Cadillac Escalade ESV Luxury
2021-2023 Cadillac Escalade ESV Premium Luxury
2021-2023 Cadillac Escalade ESV Premium Luxury Platinum
2021-2023 Cadillac Escalade ESV Sport
2021-2023 Cadillac Escalade ESV Sport Platinum
2023 Cadillac Escalade ESV V
2016-2023 Chevrolet Silverado 1500 Custom
2019-2023 Chevrolet Silverado 1500 Custom Trail Boss
2014-2023 Chevrolet Silverado 1500 High Country
2015-2018 Chevrolet Silverado 1500 LS
2014-2023 Chevrolet Silverado 1500 LT
2019-2023 Chevrolet Silverado 1500 LT Trail Boss
2014-2023 Chevrolet Silverado 1500 LTZ
2023 Chevrolet Silverado 1500 PPV
2019-2023 Chevrolet Silverado 1500 RST
2015-2021 Chevrolet Silverado 1500 SSV
2014-2023 Chevrolet Silverado 1500 WT
2022-2023 Chevrolet Silverado 1500 ZR2
2022 Chevrolet Silverado 1500 LTD Custom
2022 Chevrolet Silverado 1500 LTD Custom Trail Boss
2022 Chevrolet Silverado 1500 LTD High Country
2022 Chevrolet Silverado 1500 LTD LT
2022 Chevrolet Silverado 1500 LTD LT Trail Boss
2022 Chevrolet Silverado 1500 LTD LTZ
2022 Chevrolet Silverado 1500 LTD RST
2022 Chevrolet Silverado 1500 LTD SSV
2022 Chevrolet Silverado 1500 LTD WT
2020-2023 Chevrolet Silverado 2500 HD Custom
2015-2023 Chevrolet Silverado 2500 HD High Country
2015-2023 Chevrolet Silverado 2500 HD LT
2015-2023 Chevrolet Silverado 2500 HD LTZ
2015-2023 Chevrolet Silverado 2500 HD WT
2015-2023 Chevrolet Silverado 3500 HD High Country
2015-2023 Chevrolet Silverado 3500 HD LT
2015-2023 Chevrolet Silverado 3500 HD LTZ
2015-2023 Chevrolet Silverado 3500 HD WT
2021-2023 Chevrolet Suburban Commercial
2021-2023 Chevrolet Suburban High Country
2021-2023 Chevrolet Suburban LS
2021-2023 Chevrolet Suburban LT
2021-2023 Chevrolet Suburban Premier
2021-2023 Chevrolet Suburban RST
2021-2023 Chevrolet Suburban Z71
2022-2023 Chevrolet Tahoe Commercial
2021-2023 Chevrolet Tahoe High Country
2021-2023 Chevrolet Tahoe LS
2021-2023 Chevrolet Tahoe LT
2021-2023 Chevrolet Tahoe PPV
2021-2023 Chevrolet Tahoe Premier
2021-2023 Chevrolet Tahoe RST
2021-2023 Chevrolet Tahoe SSV
2021-2023 Chevrolet Tahoe Z71
2021 Dodge Durango Citadel
2021 Dodge Durango GT
2021 Dodge Durango GT Plus
2021 Dodge Durango Pursuit
2021 Dodge Durango R/T
2021 Dodge Durango Special Service
2021 Dodge Durango SRT
2021 Dodge Durango SRT Hellcat
2021 Dodge Durango SXT
2021 Dodge Durango SXT Plus
2013,2015 Dodge Journey AVP
2013 Dodge Journey Crew
2014-2020 Dodge Journey Crossroad
2017-2019 Dodge Journey GT
2014-2015 Dodge Journey Limited
2013-2016 Dodge Journey R/T
2013-2019 Dodge Journey SE
2020 Dodge Journey SE Value
2013-2018 Dodge Journey SXT
2009-2010 Dodge Ram 1500 Laramie
2009-2010 Dodge Ram 1500 SLT
2009-2010 Dodge Ram 1500 Sport
2009-2010 Dodge Ram 1500 ST
2009-2010 Dodge Ram 1500 TRX
2009-2010 Dodge Ram 1500 TRX4
2010 Dodge Ram 2500 Laramie
2010 Dodge Ram 2500 Power Wagon
2010 Dodge Ram 2500 SLT
2010 Dodge Ram 2500 ST
2010 Dodge Ram 2500 SXT
2010 Dodge Ram 2500 TRX
2010 Dodge Ram 3500 Laramie
2010 Dodge Ram 3500 SLT
2010 Dodge Ram 3500 ST
2023 Ford Escape Active
2023 Ford Escape Base
2023 Ford Escape Platinum
2023 Ford Escape Platinum Hybrid
2023 Ford Escape Plug-In Hybrid
2020-2022 Ford Escape S
2020-2022 Ford Escape SE
2021-2022 Ford Escape SE Hybrid
2022 Ford Escape SE Plug-In Hybrid
2020 Ford Escape SE Sport Hybrid
2020-2022 Ford Escape SEL
2022 Ford Escape SEL Hybrid
2022 Ford Escape SEL Plug-In Hybrid
2023 Ford Escape ST-Line
2023 Ford Escape ST-Line Elite
2023 Ford Escape ST-Line Elite Hybrid
2023 Ford Escape ST-Line Hybrid
2023 Ford Escape ST-Line Select
2023 Ford Escape ST-Line Select Hybrid
2020-2022 Ford Escape Titanium
2020-2022 Ford Escape Titanium Hybrid
2022 Ford Escape Titanium Plug-In Hybrid
2021-2023 Ford Expedition King Ranch
2021-2023 Ford Expedition Limited
2021-2023 Ford Expedition Max King Ranch
2021-2023 Ford Expedition Max Limited
2021-2023 Ford Expedition Max Platinum
2021-2023 Ford Expedition Max SSV
2022 Ford Expedition Max XL
2021-2023 Ford Expedition Max XLT
2021-2023 Ford Expedition Platinum
2021-2023 Ford Expedition SSV
2022-2023 Ford Expedition Timberline
2022 Ford Expedition XL
2023 Ford Expedition XL STX
2021-2023 Ford Expedition XLT
2020-2023 Ford Explorer Base
2021-2023 Ford Explorer King Ranch
2020-2023 Ford Explorer Limited
2020-2023 Ford Explorer Limited Hybrid
2020-2023 Ford Explorer Platinum
2022-2023 Ford Explorer Platinum Hybrid
2020-2023 Ford Explorer ST
2022-2023 Ford Explorer ST-Line
2021-2023 Ford Explorer Timberline
2020-2023 Ford Explorer XLT
2015-2023 Ford F-150 King Ranch
2015-2023 Ford F-150 Lariat
2016-2023 Ford F-150 Limited
2015-2023 Ford F-150 Platinum
2018-2023 Ford F-150 Police Responder
2017-2023 Ford F-150 Raptor
2023 Ford F-150 Raptor R
2016-2023 Ford F-150 SSV
2021-2023 Ford F-150 Tremor
2015-2023 Ford F-150 XL
2015-2023 Ford F-150 XLT
2022-2023 Ford F-150 Lightning Lariat
2022-2023 Ford F-150 Lightning Platinum
2022-2023 Ford F-150 Lightning Pro
2023 Ford F-150 Lightning Pro SSV
2022-2023 Ford F-150 Lightning XLT
2017-2023 Ford F-250 Super Duty King Ranch
2017-2023 Ford F-250 Super Duty Lariat
2018-2023 Ford F-250 Super Duty Limited
2017-2023 Ford F-250 Super Duty Platinum
2017-2023 Ford F-250 Super Duty XL
2017-2023 Ford F-250 Super Duty XLT
2017-2023 Ford F-350 Super Duty King Ranch
2017-2023 Ford F-350 Super Duty Lariat
2018-2023 Ford F-350 Super Duty Limited
2017-2023 Ford F-350 Super Duty Platinum
2017-2023 Ford F-350 Super Duty XL
2017-2023 Ford F-350 Super Duty XLT
2009-2019 Ford Flex Limited
2009-2019 Ford Flex SE
2009-2019 Ford Flex SEL
2011-2012 Ford Flex Titanium
2022-2023 Ford Maverick Lariat
2022-2023 Ford Maverick XL
2022-2023 Ford Maverick XLT
2021-2023 Ford Mustang Mach-E California Route 1
2021 Ford Mustang Mach-E First Edition
2021-2023 Ford Mustang Mach-E GT
2021-2023 Ford Mustang Mach-E Premium
2021-2023 Ford Mustang Mach-E Select
2021-2023 Ford Transit Connect Titanium
2021-2023 Ford Transit Connect XL
2021-2023 Ford Transit Connect XLT
2015-2023 Ford Transit-150 Base
2020-2023 Ford Transit-150 PTV
2015-2023 Ford Transit-150 XL
2015-2023 Ford Transit-150 XLT
2015-2023 Ford Transit-250 Base
2016-2023 Ford Transit-250 PTV
2015-2023 Ford Transit-350 Base
2020-2023 Ford Transit-350 PTV
2015-2023 Ford Transit-350 XL
2015-2023 Ford Transit-350 XLT
2015-2022 Ford Transit-350 HD Base
2020-2022 Ford Transit-350 HD PTV
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SKU: 70064363729

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4.3 ★★★★★
Based on 19 reviews
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Product Reviews
J
Verified Purchase
Jenny Holden
Chelsea, US
★★★★★ 1
Not useful
Format: Paperback
This book has a few pieces of good advice, but its buried under mountains of weird and amateur level musings. Example: Paul Singman advocates for eliminating ETL entirely. How? Just reprogram the applications to which you may or may not have the source code to handle your data processing. He calls Intention Data Transfer 🥴 Thanks for the advice Paul, I'll get right on that.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 17, 2026
D
Verified Purchase
David Escobar
Houston, 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.
Houston, 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
West Palm Beach, 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
Dallas, 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

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