This note maps the lifecycle phases to concrete workflows for the target roles.
Phase 1. Alignment and boundaries
- Developers: identify code, data, and repository areas where AI use is unsafe or needs stronger review
- QA/SDET: identify test data, automation, and defect-triage workflows with privacy or quality sensitivity
- Architects: define high-risk architectural decisions, approved patterns, and design-review boundaries
- Product owners: define acceptable use for backlog refinement, requirement drafting, ambiguity reduction, and stakeholder communication
Phase 2. Baseline and workflow discovery
- Developers:
- debugging support
- code explanation
- test generation support
- refactoring assistance
- QA/SDET:
- failure triage
- test case expansion
- automation review
- flaky test investigation
- Architects:
- architecture option comparison
- dependency impact analysis
- design review preparation
- Product owners:
- requirement clarification
- acceptance-criteria drafting
- story decomposition
- ambiguity detection
Phase 3. Paired-engineering pilot
- Developers:
- paired debugging on bounded defects
- code-reading and explanation of unfamiliar modules
- unit test drafting with explanation
- refactoring suggestions on low-risk code
- QA/SDET:
- exploratory test idea generation
- defect reproduction support
- test maintenance suggestions with review
- failure pattern summarization
- Architects:
- design tradeoff exploration
- threat and dependency question generation
- review of architectural assumptions
- Product owners:
- backlog item clarification
- acceptance-criteria challenge prompts
- stakeholder question generation
Phase 4. Capability-aware expansion
- Developers:
- junior engineers use explanation-first workflows on unfamiliar tasks
- senior engineers use stronger drafting on routine tasks
- QA/SDET:
- less experienced staff use AI to understand failure mechanisms
- more experienced staff use AI for broader automation leverage
- Architects:
- focus on critique, option generation, and documentation support rather than authority replacement
- Product owners:
- use AI to pressure-test logic and clarity, not to replace domain judgment
Phase 5. Standards, self-service, and internal platform support
- Developers: reusable prompt patterns, code review checks, known-good examples
- QA/SDET: test-design templates, failure-analysis prompts, privacy-safe data handling examples
- Architects: design-review templates, decision-record prompts, architecture-question checklists
- Product owners: refinement templates, requirements-review prompts, ambiguity checklists
Phase 6. Measure, adjust, and decide whether to scale
- Developers: review whether AI improved debugging, review quality, and rework patterns
- QA/SDET: review defect detection, test quality, maintenance burden, and false confidence risks
- Architects: review whether AI improved reasoning quality or just produced more text
- Product owners: review whether requirements got clearer, faster, and safer