Medir y demostrar el impacto de GitHub Copilot
Comprender cómo Copilot se usa en toda la empresa es el primer paso para demostrar su valor. Siga esta ruta de acceso para establecer una línea de base de uso, vea cómo se genera el código y cómo se conecta la adopción a resultados medibles.
Phase 1: Choose metrics to monitor Copilot adoption.
2 ArtículosUnderstand 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 ArtículosUnderstand 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 ArtículosEstablish 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 ArtículosEstablish 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 ArtículosReview 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 ArtículosReview 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 ArtículosDefine 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 ArtículosDefine 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 ArtículosUnderstand 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 ArtículosUnderstand 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 ArtículosEstablish 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 ArtículosEstablish 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 ArtículosReview 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 ArtículosReview 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 ArtículosDefine 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 ArtículosDefine 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.