Overview
The User Story Generation Agent is a smart tool that turns requirement documents into ready-to-use user stories for software teams. It works with two types of files: technical specs in JSON, which tell about the technology stack (like backend frameworks, frontend tools, database systems), and functional requirements in DOC, which explain the business logic and use cases. The agent creates organized epics with detailed user stories following best practices. Each story includes clear acceptance criteria using the Given-When-Then format, as well as non-functional requirements like performance, scalability, and security. Every story is divided into three parts for implementation: Frontend tasks for UI development (using tools like React and JavaScript), Backend tasks for API development (with frameworks like Java Spring Boot or Python), and Database tasks for data layer design and optimization (with SQL). This tool saves time by automating the manual user story creation process, ensuring consistency, reducing planning workloads, and giving teams clear guidelines for development. It also tracks processing costs and time, making it ideal for budget-focused projects.
Highlights
- Complete Development Lifecycle Coverage: Generates user stories with sub-tasks for Frontend, Backend, and Database, ensuring comprehensive development.
- Structured User Stories: Creates user stories with detailed acceptance criteria, non-functional requirements, and performance metrics.
- Technology-Specific Guidance: Provides sub-task descriptions tailored to your technology stack and best practices.
Details
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Delivery details
Container for Intelligent User Story Assistant Agent
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
New Version: V2.0
Changes: Added ARM64 option to this new version.
Additional details
Usage instructions
Once user deployed container Image sucessfully in Amazon Bedrock AgentCore
Usage Instructions:
- Upload the technical and functional requirement files using the Upload Requirements API.
- Note the dataset_id and session_id from the response.
- Use these IDs in the Generate User Story API.
- Receive the detailed user story and cost information in the response.
Sample API Examples
Port Number: 8080 Step1: POST - {url}/userstory-gen/upload
Input Type: form-data (upload two files technical requirements in JSON file and functional requirements in docx file)
Key 1: technical_req_file, Value: technical_requirement.json
Key 2: function_req_file, Value: functional_requirements.docx
API Response in JSON: ( Dataset_id="sample dataset id", Ingestion_status="sample status", Session_id="sample session id" )
Step2:
POST - {url}/invocations/generate_user_story
Input Type: form-data
Key1: session_id, Value: session id value from previous upload API
Key2: dataset_id, Value: data set value from previous upload API
API Response: User Story output in JSON format.
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