Mesurer et démontrer l’impact de GitHub Copilot
Comprendre comment Copilot utiliser votre entreprise est la première étape pour démontrer sa valeur. Suivez ce chemin pour établir une base de référence d’utilisation, voir comment le code est généré et connecter l’adoption à des résultats mesurables.
Phase 1: Choose metrics to monitor Copilot adoption.
2 ArticlesUnderstand 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 ArticlesUnderstand 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 ArticlesEstablish 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 ArticlesEstablish 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 ArticlesReview 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 ArticlesReview 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 ArticlesDefine 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 ArticlesDefine 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 ArticlesUnderstand 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 ArticlesUnderstand 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 ArticlesEstablish 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 ArticlesEstablish 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 ArticlesReview 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 ArticlesReview 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 ArticlesDefine 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 ArticlesDefine 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.