How to implement AI Coding in the team? Specifications, asset library and evaluation mechanism

Core Issues

How to turn the AI ​​coding skills of a few people into engineering capabilities that the team can learn, reuse, measure, and continuously improve?

Article structure

1. The gap from personal efficiency improvement to organizational capabilities
2. Project rules, skills, plug-ins and case asset library
3. Permissions, Quality, Security and Cost Baselines
4. Training, piloting, promotion and feedback mechanism
5. Team Maturity and Continuous Assessment

Completion criteria

Readers can develop a team implementation plan that includes pilot scope, asset construction, governance baselines, and performance indicators.