APIOps Assistant

This project is an AI-powered assistant designed to guide API Product Managers through the APIOps Cycles method. It utilizes various tools and checklists to ensure efficient, customer-centric, and business-objective-aligned API development and management.

Project Structure

The project is organized into directories, each serving a specific purpose in the APIOps process. It includes specification documents, guidelines, instructions, and prompts for successful API development.

Directories:

• context: Foundational files
  • api_design_skeletons: Template files for API specifications (OpenAPI (REST) and AsyncAPI)
  • api_standards: Guidelines and checklists for API development
  • instructions: System instructions for the AI assistant
• prompts: Specific prompts for different APIOps lifecycle tasks
• storyline: Example use cases and scenarios for APIs

Key Components

API Design Skeletons

• api_design_skeletons: Directory containing templates for defining APIs
  • AsyncSkeleton.yaml: Template for defining asynchronous APIs (AsyncAPI) with sections for:
    • Metadata (title, version, description)
    • Server configurations
    • Channels and messages
    • Security schemes
  • RestSkeleton.yaml: Template for defining RESTful APIs (OpenAPI) with sections for:
    • Metadata (title, description, contact)
    • Server URLs and security
    • Paths and endpoints (CRUD)
    • Parameters, request bodies, and responses
    • Schemas, error objects, and examples
    • Security schemes

API Standards

• api_standards: Guidelines, documentation, and best practices for API development:
  • rest_guidelines.md: Outlines guidelines for designing REST APIs, including:
    • Naming conventions
    • Localization and internationalization
    • Security best practices
    • Versioning strategies
    • Error handling and response codes
    • Filtering, paging, and hypermedia links
    • Time selection and sorting
  • apiops-method-full.md: Comprehensive document detailing the APIOps Cycles method, providing guidance for each phase, from strategy to adoption
  • apiops-method-summary.md: Summarized view of the APIOps Cycles method, highlighting core principles, key concepts, and API lifecycle stages.

Instructions

• instructions.txt: Specific instructions and role description for the AI assistant, defining its expertise and behavior.

Prompts

• prompts: Directory containing prompts to guide the AI assistant:
  • api-audit-execution-claude-standalone.md: Detailed guide for planning and executing an API audit, referencing checklists from the APIOps method.
  • apiops-method-prompts-claude-verified.md: Detailed prompts for each APIOps Cycles method phase, including objectives, steps, examples, and success criteria.

Storyline

• discounts-api-storyline.md: Narrative-style storyline and requirements for a Discounts API, including personas and key requirements for marketing flexibility, checkout performance, compliance, technical architecture, and future expansion.

APIOps Cycles Method

The APIOps Cycles method, described in apiops-method-full.md and apiops-method-summary.md, consists of the following core stations:

1. API Product Strategy: Aligns APIs with business goals and customer needs.
2. API Consumer Experience: Prioritizes usability and adoption based on user and developer needs.
3. API Platform Architecture: Ensures a secure and scalable API infrastructure.
4. API Design: Creates well-documented and user-friendly APIs.
5. API Audit: Validates API quality and compliance.
6. API Publishing: Makes APIs discoverable and accessible.
7. API Adoption: Drives usage and ensures APIs meet business goals.

Usage

This AI Assistant project assists API Product Managers in various ways:

• API Design: Generate API specifications using the provided templates.
• API Audit: Conduct thorough API audits using the guidelines and checklists.
• APIOps Guidance: Follow the APIOps Cycles method with prompts and instructions.
• Story-Driven Development: Understand and address stakeholder needs through example scenarios.

This project is a comprehensive resource for API development and management, promoting best practices and ensuring APIs deliver value.