Part 2: Hands-On with AWS Kiro, AgentCore, and Transform—Building the 2026 Agentic DevOps Stack

# Module: Multi-Region Event Bridge Pipeline

## Functional Specifications (EARS Syntax)

### Rule 1: Payload Validation
* **Trigger & Action:** WHEN a new JSON payload arrives via the REST API, THE SYSTEM SHALL verify that the `version_id` field uses correct Semantic Versioning (e.g., 1.0.4).
* **Failure Exception:** WHEN the validation fails, THE SYSTEM SHALL block the request, log a warning to CloudWatch, and return an HTTP 422 error code.

### Rule 2: Compliance-Based Routing Boundaries
* **Trigger & Action:** WHEN the incoming payload's `origin_country` field equals 'EU', THE SYSTEM SHALL route the traffic exclusively to the `eu-west-1` region.
* **Trigger & Action:** WHEN the incoming payload's `origin_country` field equals 'US', THE SYSTEM SHALL route the traffic exclusively to the `us-east-1` region.
Use code with caution.

{
"hookVersion": "2026.1.0",
"meta": {
"name": "IAM Least-Privilege Verification",
"description": "Enforces strict security boundaries on newly written AWS infrastructure code."
},
"lifecycle": {
"stage": "pre-commit",
"trigger": "on-file-change",
"pattern": "**/*.tf|**/*.json|**/template.yaml"
},
"action": {
"type": "autonomousAgentScan",
"engine": "claude-3-5-sonnet-v2",
"parameters": {
"strictMode": true,
"maxAgentRetries": 3,
"steeringReferences": [
"#[[file:.kiro/steering/security-policy.md]]"
]
},
"instructions": "Scan modified infrastructure files. If a wildcard ('*') is detected inside an IAM 'Action' or 'Resource' block, block the commit. Propose a structural replacement using explicit resource names and permissions."
}
}
Use code with caution.

import uuid
import json
from bedrock_agentcore.runtime import BedrockAgentCoreApp
from bedrock_agentcore.memory import PersistentMemoryBridge
from strands.agent import MicroAgent

# Initialize our conceptual AgentCore container application
app = BedrockAgentCoreApp(name="InventoryAutomationSystem")

# Hook up a serverless state storage abstraction layer
memory_bridge = PersistentMemoryBridge(
storage_provider="dynamodb",
table_name="AgentCoreMemoryState",
encryption_enabled=True
)

@app.entrypoint(path="/process-order")
def handle_transaction(payload: dict) -> dict:
"""
Processes warehouse tasks while keeping memory intact across sessions.
"""
session_id = payload.get("sessionId", str(uuid.uuid4()))
user_query = payload.get("message")

# 1. Retrieve the historical data context from our database bridge
active_context = memory_bridge.load_context(session_id=session_id)
historical_traits = active_context.get_long_term_memory(key="user_preferences")

# 2. Initialize the agent shell, passing the long-term context traits
warehouse_agent = MicroAgent(
role="WarehouseAuditor",
backstory=f"You audit stock logs. Note these historical user habits: {historical_traits}",
deterministic_mode=True
)

# 3. Execute the operation within the isolated session wrapper
result = warehouse_agent.execute(prompt=user_query, context=active_context)

# 4. Extract any user parameters discovered dynamically during execution
newly_learned_facts = result.metadata.get("discovered_traits")
if newly_learned_facts:
active_context.append_long_term_memory(key="user_preferences", value=newly_learned_facts)

# 5. Flush state mutations back down to our persistent database layer
memory_bridge.save_context(session_id=session_id, context=active_context)

return {
"status": "SUCCESS",
"sessionId": session_id,
"agentReply": str(result.response)
}
Use code with caution.

version: "2026.4"
blueprintId: "servlet-to-lambda-native-rewrite"
engineSpec:
minAtxVersion: "1.2.0"
executionPipeline: "strict-ast-rewrite"

astMappingContext:
sourceRootNode: "javax.servlet.http.HttpServlet"
targetRootNode: "com.amazonaws.services.lambda.runtime.RequestHandler"

transformationRules:
- id: "rewrite-lifecycle-methods"
type: "MethodSignatureRestructuring"
targetNodeCriteria:
methodName: "doPost"
accessModifier: "public"
parameterTypes:
- "javax.servlet.http.HttpServletRequest"
- "javax.servlet.http.HttpServletResponse"
rewritePattern:
accessModifier: "public"
returnType: "com.amazonaws.services.lambda.runtime.events.APIGatewayProxyResponseEvent"
methodName: "handleRequest"
parameterTypes:
- "com.amazonaws.services.lambda.runtime.events.APIGatewayProxyRequestEvent"
- "com.amazonaws.services.lambda.runtime.Context"

- id: "inject-cloudwatch-logger"
type: "FieldInjection"
targetClassCriteria:
hasAnnotation: "org.springframework.stereotype.Component"
injectionPayload:
annotation: "@Autowired"
statement: "private com.amazonaws.services.lambda.runtime.LambdaLogger logger;"
Use code with caution.