Purpose
This Standard defines how Artificial Intelligence participates in engineering activities performed under AAOE.
AI augments engineering work by assisting humans throughout the engineering lifecycle while operating under human governance.
Standard
AI systems may participate in engineering activities throughout the software lifecycle.
AI participation shall operate within the governance established by AAOE Standards.
Human accountability remains unchanged regardless of the degree of AI assistance.
Principles
AI-Assisted Engineering shall:
- augment human engineering
- improve engineering productivity
- improve engineering quality
- preserve engineering governance
- preserve traceability
- remain transparent
- remain reviewable
- remain technology independent
AI Capabilities
AI systems may assist with:
- Requirements Analysis
- Specification Drafting
- Architecture Proposals
- UX Design Support
- Design System Assistance
- Code Generation
- Code Review
- Testing
- Documentation
- Refactoring
- Migration
- Knowledge Retrieval
- Implementation Reporting
Participation does not imply autonomous approval.
Human Responsibilities
Humans remain responsible for:
- Engineering Governance
- Engineering Decisions
- Architecture Approval
- Risk Acceptance
- Compliance
- Final Approval
- Release Approval
Human accountability shall not be delegated.
Engineering Workflow
Engineering Intent
↓
Human + AI Collaboration
↓
Engineering Artifact
↓
Human Review
↓
Architecture Review
↓
ApprovalAI participation may occur at multiple stages of the workflow.
Transparency
Engineering artifacts should identify when AI materially contributed to their creation.
AI-generated work shall remain reviewable by humans.
Engineering decisions shall remain explainable.
Traceability
AI-assisted engineering should remain traceable through:
- Specifications
- Work Orders
- Implementation Reports
- Architecture Reviews
- ADRs
AI participation shall not reduce engineering traceability.
Exceptions
Organizations may restrict AI participation in regulated or sensitive engineering activities.
Any restrictions should be explicitly documented.
Relationship to Human-Governed Engineering
This Standard operationalizes STD-0008 — Human-Governed Engineering.
AI operates within governance established by humans.
Relationship to Architecture Reviews
Architecture Reviews remain responsible for evaluating engineering artifacts regardless of whether they were created by humans, AI, or through collaboration.
The origin of an artifact shall not affect governance requirements.
Relationship to Implementation Reports
Implementation Reports should document significant AI participation when relevant to engineering traceability.
Compliance
Engineering work conforms when:
- AI participation remains governed.
- Human accountability is preserved.
- Engineering artifacts remain reviewable.
- Traceability is maintained.
- Architecture Reviews remain mandatory.
Future Evolution
Future Standards may define:
- Multi-Agent Collaboration
- Agent Roles
- Autonomous Engineering Limits
- AI Quality Metrics
- AI Capability Classification
- Agent Certification
- Human-AI Collaboration Patterns