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Description
uppababy ridge dimensions Ridge All-Terrain Jogging Stroller | Snuggle BugzWhether youre walking city streets or jogging mountain trails, the UPPAbaby RIDGE All Terrain Stroller is built to perform. Designed for active parents, it combines a smooth, responsive ride with rugged durability, comfort, and safety from the very first mile. Description: Go the extra distance with the UPPAbaby RIDGE All Terrain Jogging Stroller. Engineered with advanced suspension, never flat tires, and performance grade features, RIDGE offers a
Whether you’re walking city streets or jogging mountain trails, the UPPAbaby RIDGE All-Terrain Stroller is built to perform. Designed for active parents, it combines a smooth, responsive ride with rugged durability, comfort, and safety from the very first mile.
Description:
Go the extra distance with the UPPAbaby RIDGE All-Terrain Jogging Stroller. Engineered with advanced suspension, never-flat tires, and performance-grade features, RIDGE offers a smooth and responsive ride no matter the terrain. Whether it’s a morning jog, weekend hike, or trip to the park, this stroller adapts to your lifestyle and grows with your child.
The RIDGE isn’t just about performance. It’s also thoughtfully designed for daily life. With one-hand folding, an XL sun canopy, ergonomic seating, and storage for everything from water bottles to snacks, this stroller keeps families moving comfortably and confidently.
Features:
- Advanced Responsive Suspension with a patented two-stage system provides a comfortable ride no matter the child's weight or terrain
- 12” x 16” EVA "Never Flat" foam-filled tires, eliminate the need to carry an air pump
- Disc hand brake system provides advanced responsiveness when going downhill or on uneven ground surface
- Swivel front wheel with lockout and adjustable tracker for jogging mode
- One-hand fold stands when folded XL Adjustable canopy with a zip-out
- UPF 50+ sunshade for more sun protection
- Canopy zipper pocket with headphone jack for phone storage
- 5-point, no-rethread padded harness with lumbar support
- Multi-Position, webbing recline with mesh viewing window and cover flap
- Water bottle holder included
- Covered storage basket with built-in pockets and additional bottle holder, holds up to 20 lbs.
- Deep padded seat for maximum comfort with side storage pockets for small items
- Wrist strap included for safety while jogging
- Performance fabrics with water-repellant application
- Reflective details on frame and basket to provide added visibility
- Infant car seat compatible (with adapters sold separately)
- GREENGUARD Gold certified - From the very first step in the process of manufacturing our products, UPPAbaby is committed to sourcing materials that exhibit superior performance properties while eliminating the need for chemical treatment. All UPPAbaby car seats contain no added flame-retardant chemicals applied to materials that are in direct contact with a child. This is done by using fabric mills which have invested in state-of-the-art technologies to limit the use of water and chemicals in the treatment of our fabrics. At both leather and foam plants, UPPAbaby has invested in dedicated machinery to ensure no cross-contamination of chemicals can occur.
- The GREENGUARD Gold Certification standard includes health-based criteria for additional chemicals and also requires lower total VOC emissions levels to help ensure that products are acceptable for use in environments like schools and healthcare facilities.” All leathers are chrome-free and come from LWG Gold-certified facilities. To ensure proper standards are in order, UPPAbaby audits its suppliers using ISO 9001 standards to maintain a responsible supplier base. The goal is to continually improve environmental stewardship and reduce carbon footprint
- All premium full-grain leather accents are all REACH certified. Being REACH certified means the leather tanning process is cognizant of the effects of chemicals and UPPAbaby's tanneries regularly pass rigorous chemical compliance testing.
Specifications:
- Suitable for up to 55 lbs
- Suitable from birth with approved accessories
- Suitable for running/jogging when a child has full core support
- Folded Dimensions: 18.5” L x 26” W x 36.5” H
- Unfolded Dimensions: 38.5” L x 26” W x 40.5” H
- Weight: 29.2 lbs
- Wheel size [front & back]: 12” & 16”
Care Instructions:
- Fabric is removable and machine washable
From Birth Options:
- Infant Car Seat
- Bassinet
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4.8 ★★★★★
Based on 8 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on May 20, 2026
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