SKU: 79258911682

CAX3DR1 – Can Am X3 2017+ Front ABS Door Kits

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Description

CAX3DR1 – Can Am X3 2017+ Front ABS Door KitsCAX3DR1 Can Am X3 2017+ Front ABS Door Kits The DRT Motorsports Can Am front and rear ABS door kits are an essential upgrade to your Maverick X3. These doors fit the 2017+ Can Am X3 2 and 4 door models. These doors are made from high impact ABS for long term durability. They provide additional coverage to keep passengers protected, dry and clean. Some drilling and cutting is required for installation. They come in smooth black finish and add styling


CAX3DR1  |  Can-Am X3 2017+ Front ABS Door Kits



The DRT Motorsports Can-Am front and rear ABS door kits are an essential upgrade to your Maverick X3. These doors fit the 2017+ Can-Am X3 2 and 4-door models. These doors are made from high-impact ABS for long-term durability. They provide additional coverage to keep passengers protected, dry and clean. Some drilling and cutting is required for installation. They come in smooth black finish and add styling to really make your Can-Am look aggressive.




Features:
  • Fits 2017+ Can-Am X3 (All Models)
  • Door Skins made from high impact ABS for long term durability
  • Steel door frames provide rigidity and long term durability
  • Reuses factory door hardware for trouble-free fitment
  • Comes in smooth black finish

Note: Can-Am X3 2 Door – If pairing DRT doors and fenders, minor trimming is required for fitment




Applications:

2017+ Can-Am
Maverick X3, 2 and 4 door models

 US PATENT No. D1002471


 

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SKU: 79258911682

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Filipe Fernandes
Omaha, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
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Eddwin Paz
Charlottesville, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
Dallas, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
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Joe Faith
Grantham, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025
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Tom C Taulli
Grantham, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025

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