The comprehensive, 8-part curriculum designed to transition you from writing manual code to orchestrating the world's first Spec-Driven AI IDE.
AWS Kiro is not an autocomplete assistant; it is a fully autonomous orchestrator. By replacing prompt-to-code workflows with rigid EARS (Event-Action-Response-State) specifications, Kiro bridges the gap between architectural intent and production reality.
This curriculum is designed to teach you how to become a "Context Engineer"—the new standard for cloud development in the AI era.
Learn how Kiro mounts live AWS settings and git repos as data volumes to eliminate LLM amnesia.
Master the deterministic interceptors that guarantee 100% security on non-deterministic AI generation.
Watch Kiro compile code in sandboxes, read stack traces, and self-heal its own bugs autonomously.
A deep dive into the fundamental mechanics of the IDE. Understand how Kiro differs from Copilot, introducing the Spec-Driven workflow.
Explore the massive paradigm shift driving Kiro's creation. Why autocomplete failed enterprise teams and how agentic logic solves it.
Trace the fascinating evolution from internal Amazon Q skunkworks projects to the GA launch of the fully agentic Kiro IDE.
A massive exploration of the standout features of Kiro. Learn exactly how Kiro achieves zero-trust generation and infinite context.
Look under the hood of the Kiro engine. Understand the orchestrator node, the MCP router, and the LLM sub-agent swarm.
Kiro is not magic. Learn where the AI hallucinates, breaks down, and requires strict human intervention to succeed.
Practical, step-by-step lab guides to constructing complete, production-ready applications using Spec-Driven Development. Move from theory to actual Kiro execution.
A comprehensive breakdown of the credit-based pricing model. Understand why Kiro destroys traditional per-seat pricing in favor of pay-as-you-go compute metrics.