在AWS弹性Beanstalk和代码管道中，有可能出现错误的应用程序版本问题。这通常是由于部署到Beanstalk的应用程序版本与代码管道版本不一致所致。

解决此问题的方法是检查Beanstalk中部署的应用程序版本是否与代码管道版本相匹配。如果不匹配，则需要重新部署更新的版本。以下是一个Python示例：

from aws_cdk import (
    aws_apigateway as apigw,
    aws_lambda as lambda_,
    aws_lambda_python as lambda_python,
    aws_s3 as s3,
    core,
)

class MyStack(core.Stack):
    def __init__(self, app: core.App, id: str, **kwargs):
        super().__init__(app, id, **kwargs)

        # Create a Lambda function
        func = lambda_python.PythonFunction(
            self, "MyFunction",
            entry="./code",
            index="app.py",
            handler="handler",
        )

        # Create an S3 bucket for deployment artifacts
        deploy_bucket = s3.Bucket(self, "DeployBucket")

        # Create a CodeDeploy application
        codedeploy = deploy.CdkDeployAction(
            action_name="Deploy",
            input=cdkp.Artifact(
                artifact_name="MyApp",
                artifact_type=cdkp.ArtifactType.CFN_TEMPLATE,
                path="./templates/myapp.yml",
            ),
            deployment_group=my_app_deployment_group,
        )

        # Create a CodePipeline pipeline
        pipeline = cdkp.Pipeline(
            self, "MyPipeline",
            pipeline_name="MyPipeline",
            stages= [
                cdkp.StageProps(
                    stage_name="Source",
                    actions=[
                        git_source_action,
                    ],
                ),
                cdkp.StageProps(
                    stage_name="Build",
                    actions=[
                        cdk_build_action,
                    ],
                ),
                cdkp.StageProps(
                    stage_name="Deploy",
                    actions=[
                        codedeploy,
                    ],
                ),
            ],
        )

在这个例子中，我们创建了一个Python Lambda函数和一个S3存储