PRD-002: AI-Driven Generative Capabilities

Type

Functional

Priority

Critical

MVP Status

✅ MVP

Requirement Statement (EARS Format)

WHEN a user expresses an intent or requires assistance, the system shall dynamically generate relevant cognitive artifacts or code snippets based on the current context and semantic understanding.

User Story

As a Developer, I want the system to generate code snippets based on a business rule defined in the DSL, so that I can rapidly implement features that adhere to enterprise semantics.

Acceptance Criteria

AC-002.1: Artifact Generation

• Given a user’s conversational intent related to a task
• When the AI agent analyzes the context
• Then the system shall recommend and generate a suitable cognitive artifact (e.g., a checklist, a diagram, a structured note)

AC-002.2: Code Generation

• Given a formal business rule from the Semantic Core
• When a developer requests code generation for that rule
• Then the system shall produce syntactically correct and semantically compliant code

Dependencies

• Semantic Core
• Knowledge Graph
• Artifact Engine
• CADSL Runtime

Related Specifications

• ADRs: ADR-001, ADR-005, ADR-006, ADR-008
• SDS: SDS-001

Success Metrics

• Time saved in code generation
• User satisfaction with generated artifacts
• Accuracy of generated artifacts/code