Agentic Engineering for Scientific Computing / Najlacnejšie knihy
Agentic Engineering for Scientific Computing

Kód: 54026488

Agentic Engineering for Scientific Computing

Autor Raik Becker

Your newest colleague writes code faster than anyone you have ever worked with, happily takes on the boring jobs and, every now and then, makes things up with complete confidence. Welcome to agentic engineering.Researchers, analys ... celý popis

20.80 €

Bežne: 23.18 €

Ušetríte 2.38 €


Skladom u dodávateľa
30.09.2026

Informovať o naskladnení

Pridať medzi želanie

Mohlo by sa vám tiež páčiť

Darčekový poukaz: Radosť zaručená
  1. Darujte poukaz v ľubovoľnej hodnote, a my sa postaráme o zvyšok.
  2. Poukaz sa vzťahuje na všetky produkty v našej ponuke.
  3. Elektronický poukaz si vytlačíte z e-mailu a môžete ho ihneď darovať.
  4. Platnosť poukazu je 12 mesiacov od dátumu vystavenia.

Objednať darčekový poukazViac informácií

Informovať o naskladnení knihy

Informovať o naskladnení knihy


Súhlas - Odoslaním žiadosti vyjadrujem Súhlas so spracovaním osobných údajov na marketingové účely.

Zašleme vám správu akonáhle knihu naskladníme

Zadajte do formulára e-mailovú adresu a akonáhle knihu naskladníme, zašleme vám o tom správu. Postrážime všetko za vás.

Viac informácií o knihe Agentic Engineering for Scientific Computing

Nákupom získate 51 bodov

Anotácia knihy

Your newest colleague writes code faster than anyone you have ever worked with, happily takes on the boring jobs and, every now and then, makes things up with complete confidence. Welcome to agentic engineering.

Researchers, analysts and quants write code almost every day, be it for simulations, forecasts or pricing models, yet many have never trained as software engineers. For them, AI coding agents are a gift that comes with a catch. In scientific work, an algorithm is either implemented correctly or it is not, and no amount of AI confidence changes that. There is little room for vibe coding.

This book shows how to make the most of AI agents without losing control. It distils the invariants of a fast-moving world into rules that hold no matter which large language model (LLM) is making the headlines. Examples from tools such as GitHub Copilot and Claude Code keep the advice concrete.

You will learn what LLMs, agents and harnesses really do, why planning (almost) always pays off, when to start over, how to give your agent the insider knowledge it lacks, and how tests, linters and benchmarks close the feedback loop. The book even turns the tables: your agent gets to review you. Teams will find guidance on honest AI use, code review as the new bottleneck, backfiring KPIs and whether to let an agent replace a dependency. The book pays just as much attention to the risks, including comprehension debt, automation complacency, brain rot, lost paper trails, context overload, spiralling token costs, constant distraction and leaked intellectual property. Along the way, you will find out why an agent's "leaner" rewrite can end up slower, and why "The agent said so" will satisfy neither auditors nor peer reviewers.

Newcomers and seasoned agent users alike will find short chapters with self-contained sections, FAQs and example prompts.

AI will not make you a better scientist or analyst by itself. Used mindfully, though, it might just give you the time back to be one.

Parametre knihy

20.80 €

Obľúbené z iného súdka



Osobný odber Bratislava a 13474 dalších

Copyright ©2008-26 najlacnejsie-knihy.sk Všetky práva vyhradenéSúkromieCookies


Môj účet: Prihlásiť sa
Všetky knihy sveta na jednom mieste. Navyše za skvelé ceny.

Nákupný košík ( prázdny )

Vyzdvihnutie v Zásielkovni
zadarmo nad 59,99 €.

Nachádzate sa: