Multi-Channel Agent Architecture: Implementing GitHub, Slack, and API Integrations Using Local Language Models with Privacy-Oriented Design for Professional Developers - Couverture souple

Livre 2 sur 3: Autonomous Systems Engineering: Architecting Privacy-First AI Agents, Automation Frameworks, and Stateful Intelligence Platforms

Fairwick, Julian

 
9798248831609: Multi-Channel Agent Architecture: Implementing GitHub, Slack, and API Integrations Using Local Language Models with Privacy-Oriented Design for Professional Developers
Couverture souple
ISBN 13 : 9798248831609
Editeur : Independently published, 2026

Synopsis

This book examines the design and implementation of multi-channel AI agents that operate across GitHub, Slack, and custom APIs, with an emphasis on local inference using open-source language models. It addresses key engineering challenges in building secure, privacy-focused systems that minimize external data exposure and maintain control over sensitive information. Readers will find detailed coverage of architectural patterns, integration mechanisms, protocol considerations, and deployment strategies suited to production environments.

The content assumes familiarity with software engineering principles, API development, and machine learning concepts, targeting experienced developers, DevOps professionals, and AI systems architects who seek to construct self-hosted, privacy-respecting agent solutions.
Acquire this resource to reference practical approaches and technical considerations for your next agent implementation project.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2026
Langue
anglais
ISBN 13 
9798248831609
Reliure
Broché
Nombre de pages
155
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxembourg