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Custom stacks

Custom Stacks enable flexible implementation of services using AI-powered coding assistants. By leveraging design files created with the Solution Designer, this approach provides sustainable and intelligent code generation that adapts to your specific technology choices and architectural patterns.

❗️Beta Feature

This feature is currently in beta and may not be fully optimized yet. We're continuously improving the integration with AI coding assistants and welcome your feedback.

The designed items, reusable components, patterns and architectural decisions construct a coherent design that serves as the foundation for stable code generation. This structured design approach ensures that AI coding assistants can consistently produce reliable, well-architected code that follows your established patterns and standards.

How It Works​

Custom Stacks transform your design specifications into working code through AI-powered assistants. Unlike predefined templates, this approach offers complete flexibility in technology selection, implementation patterns and architectural decisions.

Key Advantages:​

  • Complete Flexibility: Use any programming language supported by your coding assistant
  • Architectural Freedom: Implement custom patterns and architectural decisions
  • Design-driven Implementation: Code generation follows your design specifications and standards
  • Sustainable AI Usage: Design files provide consistent context for reliable AI assistance

Design Files as AI Context​

The design files created with the Solution Designer contain all architectural information and serve as comprehensive context for AI coding assistants, enabling them to:

  • Understand Architecture: Generate code that reflects your service's structure and relationships
  • Maintain Consistency: Ensure generated code follows your design patterns and conventions
  • Provide Context: Give AI assistants the full picture of your system architecture
  • Enable Sustainability: Create reliable, repeatable AI interactions based on structured design data

Flexible Implementation Process​

  1. Design Analysis: AI assistants analyze your design files for components, relationships and patterns
  2. Technology Selection: Choose any programming language and framework supported by your coding assistant
  3. Pattern Implementation: Implement custom architectural patterns and design decisions
  4. Iterative Development: Refine and extend code through ongoing AI assistance
  5. Design Compliance: Ensure all generated code maintains design integrity and standards

Supported Tools and Prompts​

Cursor IDE Integration​

IBM DevOps Solution Workbench's design files work seamlessly with Cursor IDE using our prompt collection. These prompts are specifically designed to leverage your design files for optimal code generation.

Best Practices​

Design File Maintenance​

  • Keep design files up-to-date with architectural changes
  • Ensure design files accurately reflect current system requirements
  • Use consistent naming conventions and patterns in design specifications

AI Assistant Usage​

  • Provide design files as context for all coding sessions
  • Use design-specific prompts for consistent results
  • Regularly validate generated code against design specifications
  • Iterate on implementations while maintaining design compliance

This approach enables you to leverage AI coding assistants in a sustainable, design-compliant manner while maintaining complete flexibility in your implementation choices.

⚠Important Disclaimer

The quality of generated code depends entirely on the AI coding assistant's capabilities and training data. Always review, test and validate AI-generated code before using it in production. The design files provide context, but the final code quality and correctness are the responsibility of the developer.