Technical Requirements
This section shows how to use AI to create technical artefacts for your project. Technical requirements are necessary for AI Coding Assistants (AICA) to deliver high quality code.
These are flexible guidelines rather than a specific workflow - use what’s relevant to situation and requirements.
Prerequisites
As per Product Requirements, it is best to start with a Feature Description. You will get the best outcomes from AI by first clearly articulating the requirement in your own words.
Visualise Your Architecture Using AI
Quite often, architecture diagrams will help inform AI how components fit together.
Use prompt-high-level-architecture in an AI Assistant to generate diagrams, then refine through iterative conversation.
Create Your Data Models Using AI
When your situation requires data models, Use prompt-data-model-generation in an AI Assistant with your product requirements as context. Work iteratively until the data model accurately represents your domain.
Map System Interactions Using AI
When your situation requires system interaction design, Use prompt-sequence-diagram in an AI Assistant to visualise how different parts of your system communicate. Refine through iterative conversation.
Document Your API Specifications Using AI
When your situation requires API’s, generate clear API documentation using prompt-api-requirements in an AI Assistant. Refine through iterative conversation.
Create Architectural Decision Records Using AI
Use prompt-architecture-decision-record in an AI Assistant to document key technical choices and their rationale. Refine through iterative conversation.
Review Your Requirements Using AI
Before moving to feature development, you might want to analyse your requirements using prompt-product-analysis.
This AI-powered analysis can identifies gaps in documentation and spots alternatives you might have missed.
