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Description
nuna seat stroller Nuna DEMI icon Stroller + PIPA Travel SystemDiscover the premium single stroller that keeps up with every version of your day. With a generously sized foldable basket, DEMI icon helps to carry everything that life brings your way. Life is full of moments worth savoring, and the DEMI icon single stroller is designed to keep up with every one of them. From the moment you step out the door, it moves with you, carrying everything life brings your way with grace and ease. The extra large, adjustable
Discover the premium single stroller that keeps up with every version of your day. With a generously sized foldable basket, DEMI icon helps to carry everything that life brings your way.
Life is full of moments worth savoring, and the DEMI icon single stroller is designed to keep up with every one of them.
From the moment you step out the door, it moves with you, carrying everything life brings your way with grace and ease. The extra-large, adjustable storage basket gathers your daily essentials and the spontaneous finds of a day well lived. Luxe fabrics wrap your little one in comfort, while thoughtful convenience features make your day easier.
Every detail, from the smooth glide to the intuitive folding system, comes together to make getting around practical, polished, and quietly iconic—just the way modern family life should feel.
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Use Features
- Full-featured single stroller with a large, enclosed basket
- 4 recline positions and an upright backrest angle for just-right rides
- Easily adjust recline with just 1 hand
- Convenient forward and rear-facing seat options
- Wide, swivel-lock front wheels make it a master of maneuvering
- Rotating and removable armbar fits kids of all sizes
- 1-hand adjustable calf support and footrest to accommodate growth
- Compatible with DEMI next bassinet and all Nuna PIPA series infant car seats using the included ring adapter
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Security Features
- Self-guiding MagneTech secure snap™ buckles automatically lock into place
- Quick-release 3 to 5-point harness makes it easy to fasten them in
- A magnetic buckle keeps the basket secured for the journey
- Simple 1-touch rear-wheel braking system for added peace of mind
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Comfort Features
- Easily removable Merino wool insert provides ultra-soft comfort
- All-season seat keeps baby cozy in winter and easily converts to mesh in summer
- Eye-to-eye connection is easier with the elevated seat level
- Water-repellent UPF 50+ Aire protect canopy™ protects from the elements
- Built-in privacy drape and ventilation panels in the canopy for ideal airflow
- Included rain cover for when the weather doesn't cooperate
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Premium Details & Features
- Large basket with 30 lb (approx. 20 gal) capacity holds everything you need for the journey
- Basket provides 3-way access with dual top zips and a large rear opening, all secured with mesh
- Mesh basket doors can be rolled back and held in place with magnets
- Basket can be folded down to adjust its capacity from quick trips to full days out
- Adjustable pushbar with luxe leatherette accents to accommodate varying heights
- Custom dual suspension™ provides a smooth ride from sidewalks to park trails
- Large tires are tough, foam-filled, and ready for any terrain
- No-rethread harness makes it easy to adjust for comfort and growth
- Stroller and basket fold together and self stand when folded for easy storing
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4.1 ★★★★★
Based on 14 reviews
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Product Reviews
★★★★★ 2
Glad I bought this used
Format: Paperback
It’s packed with buzzwords and adjectives, offering plenty of in-vacuum advice and self-promotional ‘hire-me’ vibes. There’s some real insight here, but it’s buried under a lot of noise.
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Reviewed in the United States on February 11, 2026
★★★★★ 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.
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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!
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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.
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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.
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Reviewed in the United States on May 20, 2026