What happens when AI agents become part of the software development lifecycle?
This practical guide explores how developers can design, orchestrate, and deploy intelligent agent systems using Gemini 3.5 and Antigravity 2.0.
Built for modern engineering teams, the book focuses on real-world outcomes, not hype. You'll learn how agentic AI can accelerate feature delivery, automate repetitive workflows, improve incident response, and support safer refactoring and testing processes.
Through hands-on examples and production-focused patterns, you'll discover how to:
Build AI agents that plan, reason, and collaborateDesign orchestration workflows for reliability and scaleCreate guardrails, verification systems, and rollback strategiesTest and monitor agent behavior in production environmentsReduce hallucinations with structured prompts and validation layersIntegrate agents into CI/CD pipelines, DevOps workflows, and team processesMeasure ROI using practical engineering metricsThe book also covers orchestration architectures, human-in-the-loop systems, observability, governance, compliance, and ethical deployment practices.
Inside, you'll build practical projects including:
Autonomous QA and testing agentsAI-powered incident triage systemsMulti-agent deployment orchestratorsAPI generation and validation assistantsWorkflow automation tools for engineering teamsWhether you're a backend engineer, SRE, product leader, or AI-focused developer, this field guide provides actionable patterns, implementation strategies, and production-ready insights for building reliable agent-driven systems.
If you want to move beyond AI demos and learn how to apply orchestrated intelligence in real software engineering environments, this book gives you the roadmap.