Pay in installments of $478.19 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 18 - Jul 23
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
2019-2023 GM 1500 1.5-3.5 Inch Lift Stage 2 Suspension System Billet UCA Icon Vehicle DynamicsICON Vehicle Dynamics 2019 2023 GM Silverado Sierra 1500 suspension systems are designed to dramatically increase the on and off road ride quality. ICON engineers' primary focus is to increase wheel travel and damping ability, which translates into outstanding vehicle control and ride quality both on and off road. With wheel travel and ride quality in mind, ICON engineers researched each component of the GM platform's suspension and addressed any
ICON Vehicle Dynamics 2019-2023 GM Silverado/Sierra 1500 suspension systems are designed to dramatically increase the on and off-road ride quality. ICON engineers' primary focus is to increase wheel travel and damping ability, which translates into outstanding vehicle control and ride quality both on and off-road.
With wheel travel and ride quality in mind, ICON engineers researched each component of the GM platform's suspension and addressed any areas where performance could be extracted. The Stage 2 system includes vehicle-specific tuned 2.5Series coilover shocks featuring an internal reservoir for exceptional cooling properties and ICON-developed Eibach coil springs for superior vehicle Inchfeel Inch through the range of travel.
These coilovers are also height adjustable from 1-3 Inch allowing the use of larger, more aggressive wheel and tire combinations. ICON 2.0 Aluminum Series remote reservoir rear shocks utilize a vehicle-specific valving that balances the performance of the truck from front to rear.
The ICON Vehicle Dynamics 2019-2023 GM Silverado/Sierra 1500 Stage 2 suspension system is an excellent choice for those drivers looking to enhance the capabilities of their pickup on the road as well as in the dirt.
Features and Benefits:- This system features billet aluminum upper control arms with ICON's patented Delta Joint. The Delta Joint is a heavy-duty high angle ball joint that combines the durability of a ball joint with the performance characteristics of a traditional uniball. While the industry standard uniball does a great job of allowing the control arms of a vehicle to articulate with little bind, they do have an inherent weakness that leaves more to be desired when used in a daily driven application - exposure to the elements. The Delta Joint features a zinc plated housing providing the first layer of corrosion resistance, while a tough grease seal keeps potentially harmful elements out of the inner workings of the joint. Metal on metal construction and a greaseable design increase the longevity of the Delta Joint while at the same time allowing for noise-free operation. What makes the Delta Joint unique is that it brings the best of both worlds to ICON upper control arms with features that make it more robust than a uniball, and at the same time capable of greater angularity than a typical ball joint.
- Adjustable coilovers provide 1.5-3.5 Inch of front lift height
- Increased lift height allows for fitment of larger and more aggressive tires
- Fits 2WD/4WD applications
- Up to 35 Percent increase in front wheel travel over stock
- ICON shocks feature vehicle specific tune for superior performance and ride quality
- 2.5 Series coilovers feature corrosion resistant CAD plated shock body with 7/8 Inch shaft
- 2.0 Aluminum Series shocks feature corrosion resistant anodized shock body with 5/8 Inch shaft
- 7.5 Inch aluminum reservoirs provide generous oil and nitrogen volume for consistent damping as shock temperature increases
- FK Rod End bearings provide extended longevity and minimal deflection
- Shocks are fully rebuildable and revalvable
- ICON upper control arms allow for additional wheel travel (when paired with extended travel coilovers) while improving suspension geometry for predictable handling
- CNC machined 6061 billet aluminum upper control arms allow for on-vehicle camber and caster adjustment
- Patented Delta Joint (U.S. Pat. 10,731,700) combines the durability and weather resistance of a ball joint with the performance characteristics of a uniball
- Direct bolt-in design makes for a simple and straightforward installation
- ICON fabricated components covered by lifetime guarantee against breakage or manufacturer defect
- Bushings Included: Yes
- Coils Quantity Front: 2.0
- Grade Type: Performance
- Maximum Lift: 3.5 Inch
- Mounting Hardware Included: Yes
- Oem Wheels & Tires Fitment: Yes
- Recommended Aftermarket Tires: (Silverado): 315/70R17 (Larger Tires May Fit But Fender Trimming And Modifications Will Be Required), (Sierra): 305/70R17 (Larger Tires May Fit But Fender Trimming And Modifications Will Be Required)
- Recommended Aftermarket Wheels: Icon Alloys - 20x9 Inch W/ 5 Inch Backspace / 0mm Offset, Icon Alloys - 17x8.5 Inch W/ 4.75 Inch Backspace / 0mm Offset, Icon Alloys - 18x9 Inch W/ 5 Inch Backspace / 0mm Offset
- Shocks Included: Yes
- Spring Color: Black
- Spring Material: Steel
- Add On Part: 191003 - Icon Short 2.5 Coil Wrap W/Logo Pair (11.25-12.25), 198001 - Billet Spanner Wrench Kit, 191014 - .25 Inch Collar Spanner Pin Wrench, 198000 - 2 Pin Coilover Spanner Wrench Kit
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.6 ★★★★★
Based on 21 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
recommand products
Moreshet
25.00
18k Yellow and white Gold bracelet decorated with natural diamond stones - Burqa collection
2237.50
Genuine LR Range Rover Evoque 19+ RH Spare Wheel Carrier Cover-LR128153
45.83
18k Yellow Gold 'Ain' Arabic Letter Necklace with Natural Diamonds & Agate | Horoufi Diamond Collection
1770.00
18K Rose Gold Natural Diamonds and Rose Quartz Pendnat Chain - Diana
1145.00