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Many people believe prompt engineering is about finding the perfect sentence to give an AI model. While it does matter, this view misses the other techniques. While we built our la...
🟢 Public‑Safe Notice This article contains only generic, illustrative examples and does not reference any real organizations, individuals, systems, or proprietary data....
The biggest AI shift in software did not come from a new model. It came from a quiet admission most builders did not want to make. The…Continue reading on Medium »
The average LLM project in production uses 20–50 prompts. Classification, summarization, data extraction, response generation, quality evaluation. Each prompt requires iteration,...
LLM programming assistants have demonstrated considerable value, but mostly with individual developers. The internal IT organization in Thoughtworks has been using them...
Система промптов — это фундамент всей работы с ИИ при разработке. Через промпты вы не просто общаетесь с моделью, а фактически управляете процессом создания продукта.При этом важно...
Привет, Хабр!В последние годы разработка программного обеспечения правда стала меняться заметно быстрее, чем раньше. Но дело не только в новых языках или фреймворках. Появился ещё...
Every AI engineer hits this crossroads early. You have an LLM. You need it to do something specific — answer questions about your product…Continue reading on Medium »
I designed a detailed prompt for the end-to-end design process which covers research to handoff. This took me almost a month to test and refine it works perfectly. Took my 4 weeks...
Goal-oriented planning, tool registration, and multi-step task execution — finally, on the JVM. 1. The Problem With Prompt-Only Thinking If you have spent any real time building LL...
The Era of Monolithic PromptingContinue reading on Data Science Collective »
LLMs are becoming a discovery layer. Users ask a question, the model synthesizes an answer, and then it may cite a few sources. That shifts the goal from “rank and win a click” to...
Last month Birgitta Böckeler wrote some initial thoughts about the recently developed notion of Harness Engineering. She's been researching and thinking more about this...
Разобрал доклад Anthropic «Prompting 101» и собрал из него рабочую схему сборки промптов. С веб-сервисом и готовым Project для Claude.ai Читать далее
Let’s be honest, most engineering teams are buried. Not in interesting problems, but in repetitive, thankless tasks that should have been automated years ago. Misconfigured environ...
It’s just a better-organised guess.Continue reading on Medium »
Most engineering teams are reporting faster cycles since adopting AI coding tools. Most engineering teams are also working without a way to verify whether those gains are real, sus...
*Why the smartest teams aren’t writing better prompts – they’re building better harnesses.*Continue reading on Medium »
Waygate Technologies, GE Aerospace Drive Future of Automated Engine Maintenance Menu-directed inspection templates enhance quality, efficiency by embedding guided work...
Introduction AI coding tools have rapidly transformed the way software is built. From generating boilerplate code to suggesting optimizations and even writing entire modules, the...
Audio Version ($)I just finished an all-out engineering sprint. That sounds weird to me.I've been writing code on and off for several years. But I wouldn't call myself an engineer....
Mark Cuban urges engineers to master AI, particularly by practicing with Claude. He suggests three prompts to build practical business agents, highlighting opportunities for young...
Originally appeared on Carmine Paolino.A lot of people have developed a gag reflex against anything touched by AI. I understand where that comes from. There is a lot of slop, main...
Mechanical engineering education is moving fast, uncomfortably fast for most institutions still running curricula built around slide rules and lecture halls. Students enrolling tod...
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