early 2000s jersey dress Incredible Early 2000s John Anthony Couture Blue Silk Jersey Dress w S –  Shrimpton Couture
SKU: 16212875459
early 2000s jersey dress

early 2000s jersey dress Incredible Early 2000s John Anthony Couture Blue Silk Jersey Dress w S – Shrimpton Couture

Sale price$20.85 Regular price$23.17
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Description

early 2000s jersey dress Incredible Early 2000s John Anthony Couture Blue Silk Jersey Dress w S – Shrimpton CoutureJohn Anthony is an award winning American fashion designer best known for simple, elegant clothing with a strong sense of chic. His work veers towards minimalism, with sharp tailoring, striking evening wear being his signature. He is renowned for his cutting and tailoring. From the day that he launched his atelier in 1971 his design philosophy is a fusion of function and purpose. The function is his logical, wearable approach; the purpose, his pared

John Anthony is an award-winning American fashion designer best known for simple, elegant clothing with a strong sense of chic. His work veers towards minimalism, with sharp tailoring, striking evening wear being his signature. He is renowned for his cutting and tailoring. From the day that he launched his atelier in 1971 his design philosophy is a fusion of function and purpose. The function is his logical, wearable approach; the purpose, his pared-down ideas. As a designer, he considers it his job to make things easy for the customer. He designs with focus and a narrow palette for both day and night, so items can easily intermingle. He uses natural fabrics and is noted for contradictory daywear fabrics in his evening collections. In the early 70’s he was one of the first designers to promote the idea of easy-to-travel clothes that resist wrinkling. By 1976, he was showing soft, liquid separates in muted colours that became his trademark and received 2 Coty awards, one in 1972 and one in 1976, as recognition. His business was all done on a made to order basis. That means the majority of pieces you will find are a one-off, or if there are similar pieces, very few of each piece exist. This personal attention to each dress is clearly seen in the workmanship of his pieces. His work is very expensive and beaded pieces did, and still do, retail for over $10,000. His work is a personal favourite of mine and I am thrilled to begin to offer this second round of a dozen exclusive pieces and samples that John pulled from his own archives.

This jersey and lace dress is insanely sexy. Like the other listing today this one is also unbelievably light in weight. It is made from a deep blue stretch jersey that allows it to drape beautifully over the body and highlight your every curve. This is combined with a fine blue coloured netted lace and a black lingerie netting. The slight stretch that these fabrics have allow the dress to show off your curves while still feeling wildly comfortable once on. The upper bodice is made from the netting and it is done so that there is minimal seaming. It has an almost sculptural feeling to it as it glides down and extends out to make the sleeves. There is a hook at the top of the neck for a little keyhole and another at the back of the neck. The one at the back tops a long slit that runs down to the zipper at the waist so that you get a bare flash of skin along its length. A panel of lace is set in a curving angle to just cove the breasts at the front and then it curves down to the low back at the back. All of the edges follow the natural pattern of the lace and this adds to the feminine feel that it gives. The lace is not lined. So it has a transparent feel to it and your skin peeks through the netting. You could wear something nude under it, use a colour for contrast or be very daring and go bare with just nipple covers. There is strategically placed lace at the front to make the bare option work. It is just tremendously beautiful. The lace has a touch of stretch so it conforms to your bodice. The lace panel is set around the waist on an angle. It is attached over the fabric of the skirt and the workmanship is exquisite where they meet. The bodice on its own would be a full on wow but he then extended the lace down on one side so that the full side of the skirt is finished with a wide panel of transparent lace right to the floor. It is insanely sensual. The rest of the skirt glides down past the hips to fall to the floor in a beautiful drape of deep blue silk jersey. The jersey is light and soft. It is almost like an opaque, very fine silk jersey T-shirt fabric. Just incredible and it feels amazing against the skin. It is cut supermodel long in length. There is a high slit that runs up the opposite side to the lace side so that you get a glimpse of skin through the lace on one side and a flash of bare skin on the other. It is one of the most incredible dresses I have ever seen. Made to demi-couture standards. Excellent condition.

Unlined and closes with a low hidden set back zipper. It hooks to close on the front and back of the neck as described above. It appears to have been worn very little if at all. Hand finished throughout. The fabric does have some stretch so should fit a range of sizes. The measurements below give you the comfortable range the fabric has when lying flat.

Sleeves: approx 25""
Shoulders no defined seam
Bust: 17-19.5" flat across from side seam to side seam
Waist: 14-16.5" flat across from side seam to side seam
Hips: 16-19.5" flat across from side seam to side seam
Length: 64" from neck to hem
Slit: 32.5" from hem up

Modern Sizing Equivalent: SML-MED

Item# DD4010

This garment has been professionally cleaned, pressed and is odor free. Thoroughly checked over before shipping, it will be ready to wear upon arrival.

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SKU: 16212875459

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Verified Purchase
David Escobar
Belleville, 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!
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Reviewed in the United States on April 3, 2026
W
Verified Purchase
WU.
Battle Creek, 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
Lowell, 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
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UA
New York, 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.
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Reviewed in the United States on May 20, 2026
C
Christopher West
Battle Creek, 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.
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Reviewed in the United States on April 11, 2026

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