Koni Sport (Yellow) Shock 09-13 Audi A4 FWD & Quattro excl. Audi S-line suspension - Front

Koni Sport (Yellow) Shock 09-13 Audi A4 FWD & Quattro excl. Audi S-line suspension - Front

Marsoni

M251S

$113.56

Get it in 3 business days with 1 day shipping. Friday, May 29

Koni Sport (Yellow) Shock 09-13 Audi A4 FWD & Quattro excl. Audi S-line suspension - FrontKONI Sport 8240 Series, yellow painted, internally rebound adjustable twin tube low pressure gas charged shock absorber. This Part Fits: Year Make Model Submodel 2009 2014 Audi A4 Base 2009 Audi A4 Cabriolet 2015 2016 Audi A4 Premium 2015 2016 Audi A4 Premium Plus 2015 Audi A4 Prestige 2009 2012 Audi A4 Quattro Avant 2009 2014 Audi A4 Quattro Base 2015 2016 Audi A4 Quattro Premium 2015 2016 Audi A4 Quattro Premium Plus 2015 Audi A4 Quattro Prestige

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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.

WAS THIS REVIEW HELPFUL?YesReportShare

Reviewed in the United States on July 17, 2025

Tom C Taulli

Alexandria, 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