Engineering decision
Adopt AI-assisted workflows with human engineering review
AI workflows were introduced as engineering leverage while preserving review standards and accountability.
Context
AI-assisted development could improve productivity, but quality and ownership still needed explicit engineering controls.
Options
- Avoid AI workflows until the process was fully mature
- Introduce cross-repository AI workflows while keeping human review standards
Decision
Design and ship a cross-repository AI agent platform with review discipline intact.
Trade-off
The approach required governance and clear expectations, but allowed practical adoption without lowering standards.
Outcome
AI-assisted development workflows became part of the delivery system while retaining engineering accountability.
Related Achievements
Designed AI workflows that improved team delivery throughputDesigned and shipped AI agent workflows and engineering standards that improved team PR throughput from one PR every two days to two PRs per day.Prototyped an agentic E2E testing frameworkPrototyped an agentic E2E testing framework to explore AI-assisted test creation and feedback loops.