AI-assisted product development
AI-assisted product development uses AI tools within research, design, prototyping, software engineering or QA while human practitioners retain responsibility for framing, evidence, evaluation and release.
- AI tools
- Product development
- QA
What AI-assisted product development means
AI-assisted product development describes how the team works. AI tools may be used within research, design, prototyping, software engineering or QA, while human practitioners retain responsibility for framing, evidence, evaluation and release.
How it differs from AI-enabled products
AI-assisted product development does not mean the resulting product contains AI. That distinction separates AI-assisted delivery from AI Product UX, which concerns an AI-enabled relationship for end users.
How responsibility stays with practitioners
AI might prepare test candidates from a product-state matrix. A practitioner still checks whether the candidates cover the source, expose accessibility consequences and test the release decision.
Speed does not transfer acceptance responsibility to the tool.
Review context for coded behaviour
When assistance reaches coded behaviour, design engineering and Implementation QA provide the review context.
Client restrictions, source handling, code review and product acceptance continue to govern the work.
When assistance reaches coded behaviour
Design engineering and Implementation QA provide the review context.