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Loop Engineering for AI Agents. Design Reliable Agentic AI Systems Beyond the Prompt Enrico Papalini

Książka w języku angielskim angielski
Loop Engineering for AI Agents. Design Reliable Agentic AI Systems Beyond the Prompt Enrico Papalini - okladka książki

Loop Engineering for AI Agents. Design Reliable Agentic AI Systems Beyond the Prompt Enrico Papalini - okladka książki

Loop Engineering for AI Agents. Design Reliable Agentic AI Systems Beyond the Prompt Enrico Papalini - audiobook MP3

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Autor:
Enrico Papalini
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
266
Dostępne formaty:
     PDF
     ePub

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Do przechowalni

Designing reliable agentic AI systems requires more than writing the perfect prompt. The central challenge is designing the control system around a probabilistic worker: what it may do, what evidence proves completion, when it may retry, how much it may spend, what state must persist, and when a human must take over. This book provides a practical framework for addressing these challenges.
Loop Engineering for AI Agents starts by defining loop engineering and separating it from prompt, context, and harness engineering. You'll examine how persistent AI loops change team structures, governance, management, and the economics of software production. The practical sections turn these principles into implementation through the Ralph fresh-context pattern, local loop architecture, protected verification, durable plans, retry and recovery policies, observability, prompt-injection boundaries, and human escalation.
Written by Enrico Papalini, who has over 25 years of software engineering experience, the book provides a signal-first framework for adding only the mechanisms that justify their cost.
By the end, you'll understand how to delegate autonomy through explicit completion contracts, independent evidence, bounded resources, authorization policies, reversible state transitions, and accountable human ownership.

O autorze książki

Enrico Papalini is Head of Software Development at Euronext Securities and serves as AI Champion for the organization. With more than 25 years in software engineering, he leads engineering teams through the practical adoption and scaling of AI-assisted development practices while maintaining the high standards required in financial-market infrastructures.

He holds a degree in Software Engineering and his career includes leadership roles at London Stock Exchange and Borsa Italiana, spanning trading services, data science, robotic process automation and AI governance & transformation.

He regularly speaks about AI in software engineering and writes the NON-DETERMINISTIC series on engineering reliable systems around probabilistic AI.

Packt Publishing - inne książki

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