I Built an AWS DevOps AI Agent Using Kiro Crew + MCP

Description and use

Kiro Crew agent using AWS DevOps Agent over MCP autonomously detects, investigates, and remediates failures in ECS, CodeBuild, CodePipeline, and Lambda within 5‑7 minutes, reducing MTTR and eliminating silent failures.

Problem

Silent failures in AWS services (ECS, CodeBuild, CodePipeline, Lambda) that never trigger alarms, leading to prolonged MTTR and resource waste.

Outcome

Automated detection and remediation reduced MTTR from 1‑3 hours to 5‑7 minutes, eliminated silent compute waste, and provided audit trails for every incident.

Workflow

• Configure Kiro Crew MCP server for AWS DevOps Agent
• Set up a cron job to run every 30 minutes
• Kiro Crew spawns 5 parallel subagents to check ECS, CI/CD, CloudWatch, DevOps Agent, and Lambda
• DevOps Agent performs root‑cause analysis and generates mitigation plan
• Kiro Crew executes fixes or opens a PR for human approval
• Kiro Crew verifies service health and logs actions

Evidence

Kiro Crew agent was awake. It spawned 5 parallel investigations, called AWS DevOps Agent for a health assessment, found the root cause across ECS, CodeBuild, CodePipeline, and Lambda, and flagged everything with severity‑prioritized fixes. By 3:24 AM, done.

Source

The architecture diagram shows Kiro Crew orchestrating DevOps Agent and executing fixes.

Source