Измерение и демонстрация влияния GitHub Copilot
Понимание того, как Copilot используется в вашей организации, является первым шагом к демонстрации его ценности. Следуйте этому пути, чтобы установить базовые показатели использования, узнать, как создается код, и подключить внедрение к измеримым результатам.
Phase 1: Choose metrics to monitor Copilot adoption.
2 СтатьиUnderstand what Copilot usage metrics measure and where the data comes from before you start monitoring adoption. Review the concepts behind usage metrics and the data available through the dashboard and API.
Phase 1: Choose metrics to monitor Copilot adoption.
2 СтатьиUnderstand what Copilot usage metrics measure and where the data comes from before you start monitoring adoption. Review the concepts behind usage metrics and the data available through the dashboard and API.
Phase 2: Monitor usage and adoption
3 СтатьиEstablish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 2: Monitor usage and adoption
3 СтатьиEstablish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 3: See how code is generated
2 СтатьиReview code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 3: See how code is generated
2 СтатьиReview code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 4: Connect adoption insights to engineering outcomes
2 СтатьиDefine the engineering outcomes you want to improve and choose metrics that show progress. Compare adoption insights with metrics from your engineering systems to identify associations and evaluate results.
Phase 4: Connect adoption insights to engineering outcomes
2 СтатьиDefine the engineering outcomes you want to improve and choose metrics that show progress. Compare adoption insights with metrics from your engineering systems to identify associations and evaluate results.
Phase 1: Choose metrics to monitor Copilot adoption.
2 СтатьиUnderstand what Copilot usage metrics measure and where the data comes from before you start monitoring adoption. Review the concepts behind usage metrics and the data available through the dashboard and API.
Phase 1: Choose metrics to monitor Copilot adoption.
2 СтатьиUnderstand what Copilot usage metrics measure and where the data comes from before you start monitoring adoption. Review the concepts behind usage metrics and the data available through the dashboard and API.
Phase 2: Monitor usage and adoption
3 СтатьиEstablish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 2: Monitor usage and adoption
3 СтатьиEstablish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 3: See how code is generated
2 СтатьиReview code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 3: See how code is generated
2 СтатьиReview code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 4: Connect adoption insights to engineering outcomes
2 СтатьиDefine the engineering outcomes you want to improve and choose metrics that show progress. Compare adoption insights with metrics from your engineering systems to identify associations and evaluate results.
Phase 4: Connect adoption insights to engineering outcomes
2 СтатьиDefine the engineering outcomes you want to improve and choose metrics that show progress. Compare adoption insights with metrics from your engineering systems to identify associations and evaluate results.