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 collaborate
- Design orchestration workflows for reliability and scale
- Create guardrails, verification systems, and rollback strategies
- Test and monitor agent behavior in production environments
- Reduce hallucinations with structured prompts and validation layers
- Integrate agents into CI/CD pipelines, DevOps workflows, and team processes
- Measure ROI using practical engineering metrics
The 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 agents
- AI-powered incident triage systems
- Multi-agent deployment orchestrators
- API generation and validation assistants
- Workflow automation tools for engineering teams
Whether 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.
