AI Agents: A Lead Engineer’s Handbook

Foreword: The shift from simple LLM calls to autonomous, reasoning systems. This guide provides a clear thinking framework for designing, building, and deploying production-grade AI agents, drawing from the industry’s leading research and practical implementations.

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• Agent Fundamentals: What, Why, and When?

• Agentic Patterns

• Evals

• Context Engineering

• Industry Case Studies: Insights from the Field

• Best Practices and Decision-Making Framework

• Cost

• Data

• Deploy

• Guardrails

• HITL

• Latency

• LLM

• Memory

• Monitor

• Orchestration

• Prod

• Tools

• Trust

• Evals

• Coding Agents

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