2017-2023 Superduty 2.5 RR CDEV Front Coilover Kit (ICO61720E)
SKU: 68387249777

2017-2023 Superduty 2.5 RR CDEV Front Coilover Kit (ICO61720E)

Sale price$2056.70 Regular price$2285.22
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Description

2017-2023 Superduty 2.5 RR CDEV Front Coilover Kit (ICO61720E)Drop in serious suspension performance on your 2017 2023 Superduty with ICON 2. 5 Series coilovers. Remote reservoirs keep temps down and damping consistent when you push hard. Features Bolt in system fits in OE coil bucket location Ride height adjustable coilovers (2. 5 3" or 3. 25 3. 75" depending on year of vehicle) ICON's CDE Valve technology allows for in vehicle adjustment of compression damping settings and active adjustment via the ICON

Drop in serious suspension performance on your 2017-2023 Superduty with ICON 2.5 Series coilovers. Remote reservoirs keep temps down and damping consistent when you push hard.

Features
  • Bolt-in system fits in OE coil bucket location
  • Ride height adjustable coilovers (2.5-3" or 3.25-3.75" depending on year of vehicle)
  • ICON's CDE Valve technology allows for in vehicle adjustment of compression damping settings and active adjustment via the ICON Intelligent Control (IIC)
  • Decreased body roll and improved on and off-road ride dynamics
  • Vehicle-specific shock valving provides unparalleled ride quality and control
  • Coilover conversion allows for addition of optional secondary shocks
  • Corrosion resistant CAD plated coilover shock body with 7/8" shaft
  • ICON engineered coil springs guaranteed for life against sagging or breakage
  • FK Rod End bearings for extended longevity and minimal deflection
  • Fully rebuildable and re-tunable
Wheel & Tire Recommendations
  • ICON Alloys - 17x8.5" w/ 5.00" Backspace / 6mm Offset
  • ICON Alloys - 18x9" w/ 5.25" Backspace / 6mm Offset
  • ICON Alloys - 20x9" w/ 5.25" Backspace / 6mm Offset
  • Tires: 35" x 12.50" (Larger tires may fit but fender trimming and modifications will be required.)
Important Notes
  • Only fits 4WD models
  • An adjustable track bar is recommended to realign the axle but not required.
  • Shocks Are Fully Serviceable. Lift Heights Indicated Are For A Stock Equipped Vehicle.
  • Removal of the coil centering cup in factory coil bucket required for installation
  • Lift heights based on 4WD Crew Cab diesel
  • Secondary shock options available, contact ICON for more details.
  • Requires recalibration of Advanced Driver Assistance Systems (ADAS) after install
  • An iOS operated device is required to run ICON Intelligent Control app
  • Also requires installation of applicable IIC kit and CDEV rear shocks
  • 2017-2019 Super Duty diesel models will have front lift height range of 2.5-3" over stock
  • 2020-2022 Super Duty diesel models without Tremor package will have front lift height range of 3.25-3.75" over stock
  • 2020-2022 Super Duty diesel models equipped with Tremor package will have front lift height range of 2.25-2.75" over stock
  • 2023 Super Duty diesel models without Tremor package will have front lift height range of 2.5-3" over stock
  • 2023 Super Duty diesel models equipped with Tremor package will have front lift height range of 1.5-2" over stock
  • 2023 Super Duty gas models without Tremor package will have front lift height range of 3-3.5" over stock
  • 2023 Super Duty gas models equipped with Tremor package will have front lift height range of 2-2.5" over stock
  • Will not fit 2024 models
  • Brake line kit (Part # 61111) is optional for end users with 2017-2023 F-250/F-350 who do not want to bend the factory steel lines or are looking for a braided stainless upgrade (not necessary for complete install)
  • If installing with ICON 2.5 Series remote reservoir secondary shocks, reservoir doubler kit part number 611003 is also required
  • If installing with ICON 2.5 Aluminum Series CDEV remote reservoir secondary shocks part number 191207 is also required
  • Due to tight clearances and varying placement of vehicle’s wiring harness in the upper front-passenger wheel well area, installer must ensure adequate clearance between the harness, coilover reservoir, and other components to prevent chafing/damage to wire harness. If adequate clearance cannot be achieved, please contact ICON Customer Service.
Manufacturer Description

ICON's 2.5 VS Series Remote Reservoir Bolt-In Coilover Conversion Kit will add a new level of performance and adjustability to 2017-2023 F-250 and F-350 trucks. The advantage of utilizing a coilover conversion kit is that they have been designed to increase the overall damping ability of the vehicle while at the same time allowing for user-defined ride height adjustment. The 2.5" Remote Reservoir Coilover featured in these kits is based off of ICON’s 2.5 VS Series shock line - meaning that features like ICON engineered coil springs, FK Rod End bearings, and vehicle-specific valving come standard. Quality machined components and a fully serviceable design make for a product that will stand the test of time, yet retain the ability to be rebuilt or re-tuned as necessary. The ICON CDE Valve upgrade is included for those desiring an easy way to tune the ride electronically from inside the vehicle. Compression Damping Electronic Valve (CDEV) is an electronically controlled valve that meters the flow of oil to regulate the amount of damping force that is created by the shock when compressed. This infinitely variable valve can react in less than 40ms and has the ability to make extremely precise adjustments for varying terrain. CDEV’s hydraulic circuits are also custom tailored per application to create the highest resolution and dynamic range allowable for each specific vehicle. Powered by ICON Intelligent Control and proprietary ICON mobile app, the system uses information from the onboard G-force sensor and Gyroscope to perform calculations based on algorithms and user-defined settings to predict terrain and adjust shock settings via the CDEV accordingly.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 68387249777

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Om S
Fort Morgan, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
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Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Phoenix, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
N
Nader
Draper, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
N
noam barkay
Cuba, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
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Ryan Meyer
Natrona Heights, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025

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