AI Agents, Reliability, and Safety
Build bounded AI agents with typed tools, explicit state, MCP interfaces, harnesses, evaluation, security boundaries, and recoverable execution.
Begin chapter- 01Agentic AI
Reasoning loops, tools, and multi-agent systems.
- 02Agent State, Memory & Orchestration
State graphs, checkpoints, working and semantic memory, durable workflows, interrupts, and multi-agent routing.
- 03Model Context Protocol (MCP)
Clients, servers, tools, resources, prompts, transports, capability negotiation, authorization, and safe execution.
- 04Loop Engineering
Bounded state machines, termination contracts, recovery, idempotency, budgets, no-progress detection, and replayable agent loops.
- 05Harness Engineering & Sandboxes
Reproducible execution, containers and microVMs, resource limits, mocks, structured observations, and trace capture.
- 06AI Evaluation & Quality Gates
Golden datasets, RAG and agent metrics, offline and online evaluation, regression tests, and CI release gates.
- 07Agent Guardrails & Security
Schema controls, prompt-injection defense, least privilege, circuit breakers, budgets, approvals, and incident response.