Understand the impact on developer productivity and satisfaction. Leverage holistic ROI dashboards to communicate the value, monitor the impact, and optimize your rollout.
Adoption metrics per developer and team (DAU, WAU, MAU)
Last activity date per developer
Full data history
Last 28 days only
GitHub data correlated with task, deployment, quality, incident, security, and sentiment data from 100+ tools
GitHub data only
Engineering leaders are deploying GitHub Copilot, under the watchful eyes of executives who anticipate significant productivity gains. But how do you measure and communicate the impact?
Faros AI illustrates the impact and ROI of AI coding assistants. Track adoption and usage. Measure the benefits. Monitor the risks. Optimize the rollout.
AI pair programming tools are driving up licensing costs, with new tools being announced daily. Improve your return on investment from GitHub Copilot with a full measurement framework that guides you from pilot to rollout to optimization.
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Identify the most effective tool,
best-suited to your code and favored by your developers.
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Identify the most effective tool,
Observe the impact of AI augmentation on different cohorts and profiles.
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Measure the time savings. Calculate the economic benefit. Spot shifting bottlenecks.
Optimize your rollout for higher GitHub Copilot impact and ROI.
Measure daily, weekly, and monthly adoption.
Track acceptance rates and lines of code generated, by language
and editor.
Compare cohorts using different types of licenses (e.g., Business vs. Enterprise).
See which activities are augmented most: coding, testing,
debugging, documenting, etc.
Identify unused licenses and understand why.
Separate hype from reality and set the right expectations for your org.
Identify new bottlenecks as adoption increases e.g., in code review, deployment, or QA).
Maintain visibility into quality, reliability, and tech debt.
Identify potential security and compliance issues in AI-augmented code.
Present cost/benefit metrics to executive leadership.
See how accelerated coding is changing dev patterns.
Measure cumulative time savings and understand where they’re being reinvested (velocity, quality, tech debt, upskilling, etc.).
Capture developer sentiment with out-of-the-box surveys.
Understand which teams and roles are adopting and benefiting most.
Improve training and mentoring to optimize your rollout.
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