Agent-to-Agent (A2A) AI Systems Design with Google ADK
@aiengineeringinsiderBuild multi-agent AI systems that actually ship — and ace the interviews that ask about them.
Single-prompt assistants have hit their ceiling. Production AI now means teams of specialized agents that plan, delegate, coordinate, remember, and act — and engineers who can design those systems are the most sought-after in the industry.
Agent-to-Agent (A2A) AI Systems Design with Google ADK is a build-first engineering guide. Every chapter pairs a deep technical treatment with production-grade code you run immediately in Google ADK's built-in web UI — entirely on a free local stack (llama3.1 + nomic-embed-text via Ollama). No API keys. No cloud bills. Just working on systems, you can inspect event by event.
Inside, you will master:
- Agent Architecture — coordinator/specialist hierarchies and routing contracts that don't misfire
- Agent Communication — the A2A protocol: agent cards, JSON-RPC tasks, exposing and consuming remote agents
- Task Planning & Delegation — validated plans, plan–delegate–verify pipelines, failure recovery
- Agent Coordination parallel fan-out, critic loops with bounded budgets, race-condition-free state
- Shared Memory: an embedding-backed team blackboard with provenance and namespaces
- State Management — event-sourced session state, scopes, persistence, and concurrency discipline
- Tool Orchestration tool contracts, guardrail callbacks, human-in-the-loop approval
- Plus 110 interview questions with senior-level answers: ten per chapter spanning system design, production operations, and debugging, and a bonus chapter with the top 30 agentic-AI interview questions answered as STAR-format production stories, the way staff engineers actually answer them.
- All companion code is free on GitHub, structured like a real production repository: shared libraries, smoke tests, run scripts, and one runnable agent per chapter.
Written for AI engineers, ML engineers, software engineers, and architects who are past the demo stage — and accountable for systems other people depend on.