SKU: 8782509176

Fits GMC Sierra 1500 2&4WD (2019-2024) 3.5" Lift Kit; M1 Struts/M1; 22640RED

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Description

Fits GMC Sierra 1500 2&4WD (2019-2024) 3.5" Lift Kit; M1 Struts/M1; 22640RED3. 5 Inch Lift Kit M1 Struts M1 GMC Sierra 1500 2WD 4WD (2019 2024) GM's 2019 Sierra features an impressive all new design that's built from the ground up, with aggressive angles and head turning stylings. Put the finishing touch on your truck with Rough Country's 3. 5in Upper Control Arm Suspension Lift! Rough Country's 3. 5in lift features a set of forged aluminum upper control arms to provide the correct suspension geometry in our most durable

3.5 Inch Lift Kit - M1 Struts/M1 - GMC Sierra 1500 2WD/4WD (2019-2024)

GM's 2019 Sierra features an impressive all-new design that's built from the ground up, with aggressive angles and head-turning stylings. Put the finishing touch on your truck with Rough Country's 3.5in Upper Control Arm Suspension Lift! Rough Country's 3.5in lift features a set of forged aluminum upper control arms to provide the correct suspension geometry in our most durable control arm to date! This perfect-height lift is a great choice for anyone who wants more than a simple level but doesn't quite want the full height of a 6-inch option. This kit lifts and levels the front of the vehicle with the rear, offering enough increased ground clearance to run up to 295/55R20 tires with an improved, aggressive look.This kit includes Rough Country's premium N3 shocks! These 10-stage variable valving, high-pressure Nitrogen charged shocks offer a fantastic blend of off-road action and smooth highway ride quality. With a durable 18mm spring-loaded piston rod and faster-cooling 54mm shock body, this shock offers up to 36kN Tensile Strength for a long lifespan of impressive vibration dampening. Features natural rubber bushings and an eye-catching metallic silver paint.This kit also features upgraded ball joints that are easy to install and maintenance free. These POM ball joints offer a greater range of motion for more wheel articulation than standard or OE replacements and feature a Polyoxymethylene ball race with an extremely low coefficient of friction for longer life, and a larger ball diameter to improve range of motion with a maintenance free design. Also included in this kit are a set of fabricated rear blocks. Fabricated blocks are stronger and offer a longer lifespan than cast blocks while being less susceptible to damage and the environment. Includes a Lifetime Replacement Guarantee!


Features:

  • Lifts and levels front of vehicle with rear
  • Front Lift: 3.5in Rear Lift: 2in
  • Increased ground clearance
  • Includes forged aluminum control arms
  • Control arms include POM ball joints for greater range of motion and easier installation
  • Ball joints are pre-installed to ease installation
  • Fabricated lift blocks are stronger and offer a longer lifespan than cast blocks
  • Features application valved N3 series shock absorbers which offer the best in balanced performance for on and off-road use.

Application:

Year Make Model Submodel
2019-2024 GMC Sierra 1500 Elevation
2022-2024 GMC Sierra 1500 Pro
2019-2024 GMC Sierra 1500 SLE
2019-2024 GMC Sierra 1500 SLT
2022-2022 GMC Sierra 1500 Limited Denali
2022-2022 GMC Sierra 1500 Limited Elevation
2022-2022 GMC Sierra 1500 Limited Pro
2022-2022 GMC Sierra 1500 Limited SLE
2022-2022 GMC Sierra 1500 Limited SLT
2019-2021 GMC Sierra 1500 Base
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SKU: 8782509176

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4.8 ★★★★★
Based on 15 reviews
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Verified Purchase
Jenny Holden
Boise, 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.
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Reviewed in the United States on February 17, 2026
D
Verified Purchase
David Escobar
Louisville, 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.
Louisville, 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
Massapequa, 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
Phoenix, 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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