Coming March 2027 Packt
AI Agent Testing: The Complete Guide
Author: Deepak Kamboj
A Practical Guide to Testing, Evaluating, Securing, and Operating Reliable AI Agents and Agentic Systems
A practical, framework-agnostic guide to testing AI agents across their complete lifecycle, combining software engineering practices with AI evaluation techniques and examples in Python and TypeScript.
Purchase links will be added when the book is released. Follow on LinkedIn (opens in a new tab) for the announcement.
What’s inside
Testing and workflow validation
AI evaluation
Reliability and performance
Security and guardrails
Production operations
Practical implementation
Who this book is for
- Senior software developers
- QA and test engineers
- Automation engineers
- AI/ML engineers
- Architects
- Platform engineers
- Engineering leaders responsible for AI-powered applications and agentic systems
About this book
My third authored book, AI Agent Testing: The Complete Guide, is expected from Packt in March 2027.
AI agents are moving rapidly from experimental prototypes into production applications, where they interact with users, call tools, access enterprise data, maintain memory, make decisions, and collaborate with other agents. Traditional software testing alone is not sufficient for these systems because agent behavior is probabilistic, context-dependent, and often nondeterministic.
AI Agent Testing: The Complete Guide provides a practical, framework-agnostic approach to testing AI agents across their complete lifecycle. The book covers unit and integration testing, workflow validation, AI evaluation, reliability and performance testing, security and red teaming, guardrails, observability, production monitoring, CI/CD, and enterprise-scale testing.
The book combines software engineering practices with AI-specific evaluation techniques and provides practical examples in Python and TypeScript. Readers will learn how to design an AI agent testing strategy, automate tests, measure agent quality, identify security and reliability risks, and build a production-ready testing platform for single-agent and multi-agent systems.
The cover, table of contents, and purchase links will be added when confirmed. The expected release is known to the month; no exact publication day is claimed.
About the author
Deepak Kamboj is a Senior Software Engineer and AI systems architect with 25+ years of experience. He works on the Playwright test ecosystem, AI agents and the Model Context Protocol, and writes and speaks about building them in practice.
More about Deepak