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Description
muslimah bridal dress Light Green Muslim Wedding Dresses Long Sleeves A Line Chiffon Bridal DressWedding Dresses Wedding Guest Dresses Special Occasion Dresses Wedding Accessories Produce Time 25 working days Rush order 15 working days Shipping Methord DHL Fedex Ups TNT Epacket Post air mail Other Shipping Time 3 10 working days by DHL Fedex Ups TNT, 15 35 working days by epacket or post air mail Seller Email tanyanini@126. com Payment: PayPal Brand Name: TANYA BRIDAL Actual Images: No Neckline: High Sleeve Length(cm): Full Wedding Dress Fabric:
|
Produce Time |
25 working days |
| Rush order | 15 working days |
| Shipping Methord | DHL/Fedex/Ups/TNT/Epacket/ Post air mail/Other |
| Shipping Time | 3-10 working days by DHL/Fedex/Ups/TNT, 15 -35 working days by epacket or post air mail |
| Seller Email | [email protected] |
| Payment: | PayPal |
- Brand Name: TANYA BRIDAL
- Actual Images: No
- Neckline: High
- Sleeve Length(cm): Full
- Wedding Dress Fabric: Chiffon
- Train: NONE
- For Pregnant Women: Yes
- Dresses Length: Floor-Length
- Back Design: zipper
- Item Type: Wedding Dresses
- Sleeve Style: REGULAR
- Built-in Bra: Yes
- is_customized: Yes
- Decoration: pleated
- Fashion Element: simple
- Model Number: DQG1111
- Waistline: Natural
- Silhouette: A-Line
- Plus size>16: extra fee $30
- We Would like use Strong Marterial,the fabric is soft and looks awesome, Dry clean or cold water hand wash
- For standard size dress. we would come out based on our standard size table, before you order, please make sure the detail measurement matched the size you need. System default size is based on US size.If you need to customize size，please feel free to contact us.
Size Chart:
Buyer can choose size according to the size chart below
If size not fit to you ,you can choose custom made ,but please contact with us first .Thank you !
if you need custom made ,please give us your size according to this guide .
Color Chart:
Buyer can choose any color from the color Chart Below :
Shipping:
After your payment ,we will ship your dress out within 15 working days .
Before we ship dress out ,we will confirm the dress photos with you .
Usually we choose DHL ,UPS,Fedex,Epacket to shipping your dress out according to your country policy .
Also we can send to you the tracking number after we ship goods out .
Notes:
1.The item will be sent to your address,please make sure the address is correct and please let me know your contact name (Full name) and your phone Number
2.The dress does not incloud any accessories such as :wedding veils ,gloves or petticoat.
3.If you are concerned about the return policy before placing the order,please read our return policy carefully at the bottom of page.
4.the taxs are charged by your country,so we will do not cars of them,but if you have suggestion,we will try our best to lower down such cases,thank you for your co-operations and standing .
Enjoy your perchase.
Refund policy:
Please confirm your order (right size, color, style) carefully before you decide to place the order. All the orders are arranged according to your order confirmation.
Orders can be cancelled free of charge within 24 hours.
Cancellation from 24 hours to 48 hours requires a deduction of 30%.
Orders cancelled within 72 hours need to be deducted by 50%.
You can't cancel the order after 3 days.
Returns and exchanges are not supported.
Thank you for your understanding and your order. Wish you a happy life.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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]
- Please click here for more details>>> Return & Exchange Policy
4.9 ★★★★★
Based on 991 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on April 11, 2026
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