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Engineering Leaders, measure the impact of GitHub Copilot

Understand the impact on developer productivity and satisfaction. Leverage holistic ROI dashboards to communicate the value, monitor the impact, and optimize your rollout. 

Request a demoDownload from GitHub Marketplace

Analytics that go far beyond the basics
available from the GitHub Copilot API

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Faros AI
Github Co Pilot API
GitHub Copilot API

Developer metrics

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Adoption metrics per developer and team (DAU, WAU, MAU)

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Last activity date per developer

Copilot usage data

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Full data history

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Last 28 days only

GitHub data

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GitHub data correlated with task, deployment, quality, incident, security, and sentiment data from 100+ tools

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GitHub data only

Team and Power User filters

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A/B Testing and Before/After analysis

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Out-of-the-box dashboards for tracking adoption, impact, risk and value

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Out-of-the-box developer surveys

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Personalized AI/ML insights about adoption, usage and impact

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Request a demoDownload from GitHub Marketplace

Comprehensive visibility into the impact of GitHub Copilot

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.

The right implementation can unlock 40% higher ROI

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.

Vendor Comparison

Vendor comparison

Which is the best AI coding assistant?

Identify the most effective tool,
best-suited to your code and favored by your developers.

Read bakeoff case study
A/B Testing

A/B testing

is the tool worth it?

Identify the most effective tool,
Observe the impact of AI augmentation on different cohorts and profiles.

How to A/B test
Before and After

Before and after

What’s changed?

Measure the time savings. Calculate the economic benefit. Spot shifting bottlenecks.

Read case study
Shai Peretz - Testimonial Image
While these tools have the potential to increase productivity, having a way to evaluate their impact scientifically will help build the business case for the investment.
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Shai Peretz
SVP Engineering @ Riskified

Track adoption and usage over time

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.

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AI Copilot Image

Measure downstream impacts across the entire SDLC

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.

Understand time savings and developer satisfaction

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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Vimeo optimizes GitHub Copilot adoption with Faros AI

Faros AI helps Vimeo maximize the impact of GitHub Copilot, streamline workflows, and boost confidence in AI-driven development tools.

Watch their story to learn how Vimeo improved adoption, productivity, and lead times with Faros AI.  

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Frequently asked questions

What type of Github Copilot impact metrics are included?
How does Faros help in head-to-head AI code assistant evaluations?
How does Faros help with driving adoption?
How can Faros help if the pilot has already begun?
Is the data in the Faros ROI dashboards anonymized?
Is Faros secure?

Great tech organizations run on Faros AI

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Engineering Productivity

Quickly link data across disparate systems and turn it into meaningful analytics.
Learn More
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DevOps Maturity (DORA Metrics)

Benchmark velocity and quality against industry standards for Lead Time, DF, CFR, and MTTR.
Learn More
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Developer Experience

Blend developer surveys with system telemetry to add context and take corrective action faster.
Learn More
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Ready to measure the ROI of GitHub Copilot?

Request a demo