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KIRO Guide Agent - Did you know Kiro can explain itself?

KIRO Guide Agent - Did you know Kiro can explain itself?

Asked Kiro About Its Features - Explained itself.

Manoj Kumar S

Enterprise Architecture | AI, Cloud & DevOps | Speaker | Mentor | Tech Evangelist
While exploring Kiro CLI recently, I discovered something surprisingly powerful 👀
👉 Kiro CLI ships with a built-in agent called kiro_guide.
So instead of:
  • digging through documentation 📚
  • searching GitHub examples 🔍
  • or asking “does Kiro support this?” 🤔
…I simply asked Kiro itself.
And within minutes ⚡ it generated a complete CLI 2.0 cheatsheet covering:
  • 🤖 Agents
  • 🔌 MCP integrations
  • 🪝 Hooks
  • 🧠 Knowledge bases
  • ⚙️ Agent configs
  • 📂 Context management
  • 🧩 Code intelligence
  • 🚀 Automation workflows
📖 Full Rendered Cheatsheet 

🔄 Switching to the kiro_guide Agent

Switching to the guide agent is super simple 👇
1
/agent
Then select:
1
kiro_guide
The built-in guide agent is specifically designed to answer questions about:
  • Kiro CLI features ⚡
  • commands 🛠️
  • workflows 🔄
  • tools 🔌
  • and platform capabilities 🚀
Perfect when you want to:
  • learn Kiro faster 📚
  • discover hidden features 👀
  • understand commands 🧠
  • or generate quick references like cheatsheets ⚡

🔥 Some Features That Stood Out

🤝 Parallel Agent Execution

1
/spawn <task>
Launch parallel sub-agent workflows directly from the CLI.
This pushes AI tooling beyond “single chat sessions” into orchestrated agent systems.

🧠 Structured Planning Mode

1
/plan [prompt]
Switch into planning-first execution.
Perfect for:
  • breaking down implementations,
  • generating execution plans,
  • and scaffolding complex workflows.

⚡ Automation-Friendly Tool Permissions

1
/tools trust-all
Great for:
  • CI/CD pipelines,
  • autonomous execution,
  • and headless AI workflows.

📂 Dynamic Context Injection

1
/context add <path>
Inject files dynamically into the active agent context.
This makes Kiro feel less like a chatbot…
and more like an operating system for agents 👀

🆕 Kiro’s Latest Specs Upgrades

Kiro also recently introduced major Specs upgrades 🚀
Some standout additions:
  • ⚡ Parallel task execution
  • 🧠 Quick Plan mode
  • 🔍 Automated requirement analysis
  • 📋 Faster spec generation workflows
Meaning Kiro can now:
  • analyze requirements,
  • detect ambiguities,
  • generate implementation plans,
  • and orchestrate spec pipelines much faster.
That’s a pretty interesting direction for AI-native developer environments 👀

🏗️ What This Signals

We’re moving beyond:
“AI that helps write code.”
Toward:
  • 🤖 Agent orchestration
  • 🧠 Context-aware tooling
  • 🏗️ Spec-driven development
  • ⚙️ Programmable AI workflows
  • 🔌 MCP-powered ecosystems
And honestly…
Sometimes the fastest way to learn a platform is to ask the platform itself 😄
Enjoyed this article? — Clap 👏 if you found it useful and share your thoughts in the comments.
🔗 Follow me on,
👉 LinkedIn: https://www.linkedin.com/in/manojkumar-s/
👉 AWS Builder Center (Alias): @manoj2690
# kiro# kiro-agent# agents# agentic-ai# ai
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
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