uppababy south africa UPPAbaby Vista V3 Double Stroller Jake
SKU: 28222386812
uppababy south africa

uppababy south africa UPPAbaby Vista V3 Double Stroller Jake

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Description

uppababy south africa UPPAbaby Vista V3 Double Stroller JakeLife with a growing family can be bumpy, but your everyday strolls will be smooth as ever with UPPAbaby's Vista V3 Double Stroller. Whether you're looking for a twin stroller or one that will comfortably fit an older and a younger kiddo, this parent favorite comfortably fits two and can even fit your eldest with the addition of a PiggyBack (sold separately). With optional bassinets that make the Vista usable from day one, there are over 30

Life with a growing family can be bumpy, but your everyday strolls will be smooth as ever with UPPAbaby's Vista V3 Double Stroller. Whether you're looking for a twin stroller or one that will comfortably fit an older and a younger kiddo, this parent-favorite comfortably fits two and can even fit your eldest with the addition of a PiggyBack (sold separately). With optional bassinets that make the Vista usable from day one, there are over 30 configurations to accommodate your family! Vista V3 is compatible with UPPAbaby's Mesa and Aria series infant car seats with no additional accessories needed, and with many other brands' car seats with the use of adapters.

UPPAbaby's Vista V3 Double Stroller features mesh All-Weather Comfort Seats that keep the kiddos cool in warmer months, with removable padded Seasonal Seat Liners for added warmth when the temperature drops. The seats also feature extendable, water-repellent UPF 50+ canopies and easy-to-peek windows, offering airflow and protection from the sun rays while allowing you to keep an eye on your little ones. The easy-to-adjust no-rethread harness with a magnetic buckle keeps each child safe and allows you to secure them in with one hand. The seats can be reclined with one hand for on-the-go naps, and the adjustable footrests ensure proper positioning of your little ones' legs as they grow. Both seats are designed to be reversible, so the kids can face you for comfort and bonding time, or face the world when they become curious about their surroundings.

The optional V3 Bassinet makes your Vista usable from day one and features an extendable UPF 50+ canopy, as well as cross-ventilation panels and a foam-free mesh mattress for increased breathability and airflow. The dual zipper allows you to easily access the baby, and the carry handle with a one-hand release makes it effortless to transfer your little one to and from the stroller. Thanks to its collapsible design, the bassinet is easy to travel with or stow away.

The UPPAbaby Vista V3 Double Stroller features an enhanced FlexRide suspension that provides a smooth stroll on any terrain, even with multiple kiddos on board. The one-step self-standing compact fold with the seat attached makes travelling and storage a breeze. The extra-large basket is easy to access from all sides and provides ample storage for your day-to-day necessities on the go. The one-hand handlebar, finished with full-grain REACH-certified leather, is easily adjustable to accommodate different parent heights. Thanks to reflective details on the wheels and the basket, the Vista V3 is visible at all times of day, providing added safety while strolling.

Specifications:

  • Toddler seat, Rumbleseat and bassinet are GREENGUARD Gold-certified for healthier air quality and low chemical emissions
  • Toddler seat fabric, Rumbleseat fabric, bassinet mattress cover, and bassinet zip-out liner are machine-washable
  • Unfolded dimensions (with one seat): 36" L x 25.7" W x 39.5" H
  • Folded dimensions: 17.3" L x 25.7" W x 33.3" H with one seat, 13" L x 25.7" W x 32" H frame only
  • Stroller wheels: 8.1" front, 11.3" rear
  • Bassinet dimensions: 30.8" L x 17.3" W x 24.8" H
  • Weight: frame + two seats 35.4 lbs; frame 20 lbs, toddler seat 7 lbs, Rumbleseat 8.4 lbs
  • Bassinet weight: 9.1 lbs
  • Stroller suitable for use from birth (with bassinet or car seat) or from 3 months, up to 50 lbs on the toddler seat or 40 lbs on the Rumbleseat
  • Bassinet usage: from birth to 20 lbs; must be used on a stroller or the Bassinet Stand
  • Basket capacity: 30 lbs

What's included:

  • stroller frame
  • toddler seat with Seasonal Seat Liner, bumper bar, bug shield and rain shield
  • Rumbleseat with Seasonal Seat Liner, adapters, bumper bar, bug shield and adapters storage bag
  • UPPAbaby Upper Adapters

(optionally)

  • bassinet(s) with bug shield
  • UPPAbaby Lower Adapters
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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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]
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SKU: 28222386812

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Product Reviews
D
Verified Purchase
David Escobar
Dallas, 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.
Carnegie, 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.
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Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Grantham, 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.
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Reviewed in the United States on May 20, 2026
U
UA
Whiting, 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
C
Christopher West
Massapequa, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026

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