End-to-end toolchain visibiity to understand GitHub Copilot’s impact from developer performance to business ROI
The latest iteration of Copilot Reports has advanced across four key areas - Impact Analysis, Acceptance Metrics, Productivity Measurement, and Security Monitoring
The impact analysis is represented based on suggestions and acceptance, as well as lines of code suggested and accepted. A comprehensive view is provided regarding how effectively developers are assisted by GitHub Copilot in their coding tasks. Both the volume of assistance provided and its practical utility, as perceived by users, are highlighted.
The overall acceptance analysis of Copilot models categorizes the data based on various metrics, with a particular focus on language efficiency and usage. An evaluation is conducted to determine how many acceptances each fine tuned custom model has received, which can serve as an indicator of performance and user satisfaction.
A comprehensive analysis of user activity is shown to optimize the licensing strategy by focusing on maximizing contributions from active users while minimizing costs associated with inactive ones.
The productivity gains associated with the use of programming languages in conjunction with GitHub Copilot are quantified by the Full Time Equivalent (FTE) Productivity metric. The analysis is aimed at how effectively various programming languages are utilized by developers when assisted by AI-driven coding tools.
Potential security and operational risks are tracked within the dashboard through SCM anomalies and posture. Key components analyzed include unauthorized access monitoring of Webhooks, compliance tracking of Large File Storage (LFS) usage, and identification of Non-Active Developers who may pose a risk if elevated access privileges are retained.
Quick grasping of the context and implications of modifications is facilitated for reviewers through automated PR summaries. This allows users to focus on critical aspects without needing to sift through extensive code diffs or getting bogged down by minor details.
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Comprehensive insights into DORA, SPACE, and developer experience
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