Latest updates for Prompt-Layered Architecture

Fresh curated links around Prompt-Layered Architecture are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Prompt Engineering For Developers: A Guide To Practical Patterns
  • [Перевод] Структурированная разработка на основе промптов
  • Prompt Engineering Isn’t Enough — I Built a Control Layer That Works in Production

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designveloper.com /1 month ago

Prompt Engineering For Developers: A Guide To Practical Patterns

Prompt engineering for developers is the practice of turning a software task into clear, testable instructions that an AI model can use to produce code, debugging analysis, QA plan...

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habr.com /1 month ago

[Перевод] Структурированная разработка на основе промптов

Как сделать изменения, вносимые с помощью LLM, управляемыми, проверяемыми и воспроизводимыми.Программные ассистенты LLM продемонстрировали значительную ценность, но в основном для...

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towardsdatascience.com /1 month ago

Prompt Engineering Isn’t Enough — I Built a Control Layer That Works in Production

Most LLM failures in production aren’t random — they’re predictable. I kept hitting broken JSON, silent failures, and outages that froze my entire app. Prompt engineering didn’t fi...

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dev.to /3 days ago

六層鐵律:AI 生圖的結構性解法

不是 prompt 技巧,是結構 AI 生圖社群裡有大量的「prompt 技巧」——加什麼關鍵字畫面會更好、用什麼形容詞光線會更美。這類文章很多,也很有用。 但我們的問題不一樣。 我們有一個劇組。十...

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cloud.google.com /1 month ago

10 Indispensable Prompts Our Team Refuses to Build Without

Look at any builder's prompt history and you'll see a collection of highly specific, sometimes chaotic, one-off prompts. We use AI to debug a single error message, refactor a messy...

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age-of-product.com /1 month ago

Stop Prompting, and Start Building Compounding AI Systems

TL;DR: Compounding Systems and Agents Go Hand-in-Hand Every AI conversation starts from zero because the model forgets who you are. The Claude Cowork Online Course teaches you to c...

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aws.amazon.com /1 week ago

Designing for the inevitable: System prompt leakage and mitigations in generative AI applications

System prompts form the foundation of generative AI applications. A system prompt is a collection of instructions and operational context provided to a large language model (LLM) t...

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little-doodles-shake.loca.lt /1 month ago

Prompt Cost Calculator — estimate LLM API costs before you deploy

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dev.to /1 month ago

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

Prompt engineering is what you learn first. Context engineering is what you need when you're actually trying to ship something. Here's the distinction that took me too long to und...

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dev.to /3 days ago

A Small Prompt Workflow That Made My AI Image Experiments Easier To Debug

I started treating AI image prompts more like small test cases, and the results became much easier to understand. Before that, my workflow was messy. I would write one long reques...

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dev.to /1 week ago

Compose your agent prompts once, compile them to every harness

If you build LLM agents, you probably write the same prompt more than once. A Markdown config for one tool, a rules file for another, and then the actual [{role, content}] messages...

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dzone.com /2 weeks ago

A Low-Latency Routing Pattern for Multiple Small Language Models

A multi-SLM platform creates value only when specialization does not introduce a new latency tier. Small language models are inexpensive enough to dedicate to focused work such as ...

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dzone.com /1 month ago

The Prompt Isn't Hiding Inside the Image

I've found a core misconception is persistent... people use the CLIP interrogator model expecting it to recover the original prompt from an image. It cannot do this, and if you loo...

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belderbos.dev /1 week ago

Bob Belderbos: One Core, Two Interfaces, No Rewrites

When building applications, I always build the core first, then the interfaces. It was no different with Ask the Canon: a uv run main.py ask "..." CLI for quick iteration and valid...

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avdi.codes /2 weeks ago

Curated article

Originally appeared on avdi.codes. Users don’t experience systems as implementations. They experience them as continuity. leaflet.pub: UI Is a Conservation Layer

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cloud.google.com /2 weeks ago

Beyond Static Prompts: Building Scale-Proof, Polymorphic Multi-Agent Systems with Google's ADK

As enterprise generative AI transitions from simple, conversational chatbots to autonomous multi-agent workflows, developers face a critical bottleneck: scale. In a production envi...

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dzone.com /1 week ago

Prompt Injection Attacks and Hidden Security Risks in LLM Applications

Where the Problem Sits Everyone talks about model safety. Not enough people talk about what happens when the input itself is the weapon. Prompt injection is not a niche edge case....

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dmitrytsepelev.dev /1 month ago

LLM layer for a Rails application

Originally appeared on dmitrytsepelev.dev.Like it or not, a lot of applications are adding AI–native features: anything related to automated answers, object classification, knowled...

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dzone.com /1 month ago

Prompt Injection Is Real, So I Built a Python Firewall for LLM Pipelines

LLMs are becoming part of everything.  They read web pages, summarize PDFs, inspect emails, process customer tickets, call tools, write code, and sometimes even make decisions insi...

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towardsdatascience.com /1 week ago

Assemble Each RAG Generation Prompt from a Base Prompt Plus the Rules Each Question Needs

Enterprise Document Intelligence [Vol.1 #8B] - A fixed BASE, the rules each question needs, one registry: the dispatcher that turns a parsed question into a typed LLM call The post...

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dzone.com /2 weeks ago

Loop Engineering: The Layer After Prompt, Context, and Harness Engineering

A few weeks ago, I read a line from Boris Cherny, the person behind Claude Code, that stuck with me. He said he does not prompt Claude anymore. He has loops running, and those loop...

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towardsdatascience.com /4 days ago

Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work

LLMs don’t fail because they forget—they fail because they remember too much. As conversations grow, prompts accumulate redundant and low-value tokens, driving up cost and latency...

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uxplanet.org /2 weeks ago

Context Engineering for Claude Code

Most people start using Claude Code the same way they use ChatGPT: they open Claude, submit a prompt describing the task, and expect a…Continue reading on UX Planet »

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marktechpost.com /1 month ago

Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation

In this tutorial, we use GEPA as a reflective prompt-evolution framework to improve how a small language model solves multi-step arithmetic word problems. We start from a weak seed...

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feeds.dzone.com

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rubyland.news

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age-of-product.com

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aws.amazon.com

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cloudblog.withgoogle.com

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dev.to

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