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Anotace knihy

Generative AI isn't a feature. It's an architectural shift.

Traditional software architectures were not designed for probabilistic models, token limits, vector search, or continuous model evolution. This book shows how to design AI-first systems-architectures where GenAI is a core capability, not an afterthought.

If you're building modern platforms, products, or enterprise systems, this guide gives you the architectural patterns, tradeoffs, and mental models needed for an AI-driven world.

What You'll Learn in This Book

What "AI-first" really means at the architecture level
Designing systems around LLMs, embeddings, and agents
Integrating RAG, vector databases, and tool orchestration
Handling latency, cost, and reliability in AI pipelines
Scaling GenAI workloads in production
Observability, evaluation, and governance for AI systems
Future-proofing architectures as models evolve

This book focuses on system design, not API tutorials.

Who This Book Is For

Ideal for:

• Software architects and senior engineers

• Platform and infrastructure engineers

• Technical founders and CTOs

• Engineers building AI-powered products

• Teams moving GenAI from prototype to production

Experience with distributed systems or backend development is recommended.

Why AI-First Architecture Matters

GenAI systems introduce new constraints:

• Non-deterministic outputs

• Token-based cost models

• Data grounding requirements

• Rapidly evolving models

AI-first architecture treats these realities as first-class design concerns, enabling systems that are scalable, observable, and maintainable.

Parametry knihy

• Plný název: AI Architecture for Software Engineers
• Podnázev: Designing Scalable Systems for the AI Era
• Autor: THOMPSON CARTER
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 212
• EAN: 9798242458659
• ID: 51270499
• Nakladatelství: Independently published
• Hmotnost: 292 g
• Rozměry: 229 × 152 × 11 mm
• Datum vydání: 12. February 2026

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