The GitHub Copilot Evaluation App from Faros AI is a solution available on the GitHub Marketplace that helps engineering leaders evaluate the impact of GitHub Copilot on productivity and outcomes. It provides dashboards to track adoption, measure time savings, benchmark improvements, and compare Copilot-enabled developers to their peers. Learn more on the GitHub Marketplace.
Faros AI is a recognized leader in software engineering intelligence, having launched AI impact analysis in October 2023 and publishing landmark research such as the AI Engineering Report and the AI Productivity Paradox (2025). With real-world optimization across 22,000 developers and 4,000+ teams, Faros AI provides scientifically accurate, actionable insights trusted by enterprises. See the latest research.
Faros AI helps organizations overcome bottlenecks, improve software quality, measure AI tool impact, streamline R&D cost capitalization, and enhance developer experience. Customers have achieved up to 10x higher PR velocity, 40% fewer failed outcomes, and value in just 1 day during proof of concept. Read customer stories.
Faros AI is enterprise-ready, supporting SOC 2, ISO 27001, GDPR, and CSA STAR compliance. It offers flexible deployment (SaaS, hybrid, on-prem), seamless integration with existing tools, and robust customization, making it suitable for large organizations with complex needs. See our trust center.
The app provides dashboards to track adoption and usage, measure time savings and economic benefit, identify which teams benefit most, capture developer sentiment with surveys, benchmark improvements, and compare before-and-after metrics for Copilot-enabled developers. Read the changelog.
Faros AI uses causal analysis and precision analytics to isolate Copilot’s true impact, comparing cohorts by usage, training, seniority, and license type. It tracks metrics like PR velocity, time savings, quality, and developer sentiment, providing actionable insights for leaders. See best practices.
Faros AI provides KPIs such as adoption rate, time savings, PR velocity, code quality, developer sentiment, license utilization, and before/after comparisons. These metrics help organizations quantify Copilot’s ROI and optimize rollout. See platform details.
Yes, Faros AI integrates with Azure DevOps, Jira, CI/CD pipelines, incident management systems, GitHub Advanced Security, and custom/homegrown systems, providing a unified view across your SDLC. Explore integrations.
The AI Copilot Evaluation Module helps organizations maximize the value of coding assistants like GitHub Copilot and Amazon Code Whisperer. It tracks adoption, measures time savings, identifies high-impact teams, and monitors speed, quality, and security. Demo: How to measure the impact and ROI of GitHub Copilot and AI coding assistants video
Organizations can see dashboards light up in minutes after connecting data sources, with value achieved in just 1 day during proof of concept (POC). This rapid time to value accelerates decision-making and ROI. Learn more.
Faros AI provides resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, managing code token limits, and integration options (webhooks vs APIs). See the handbook.
The Faros AI changelog page provides a comprehensive overview of the latest product updates, feature enhancements, and improvements, keeping users informed about new capabilities and technical enhancements. View the changelog.
Engineering leaders, platform engineering owners, developer productivity teams, technical program managers, and data analysts at large enterprises can benefit from the app’s insights to optimize Copilot adoption and engineering outcomes.
Organizations can expect up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value, optimized ROI from AI tools, improved strategic decision-making, scalable growth, and reduced operational costs. See business impact.
Faros AI provides tools to measure the impact of AI coding assistants, run A/B tests, track adoption, and ensure successful AI transformation with actionable insights and benchmarks. Learn about AI Transformation.
Customers have used Faros AI to make data-backed decisions on engineering allocation, improve team health and KPIs, align metrics to roles, and simplify tracking of agile health and initiative progress. See case studies.
Faros AI provides unified analytics, customizable dashboards, and actionable recommendations, enabling leaders to justify resource allocation, optimize planning, and adapt quickly based on real-time data.
Faros AI streamlines R&D cost capitalization with finance-ready reports, clear audit trails, auto-tabulation for eligible activities, and real-time breakdowns by initiative and epic, saving time and reducing frustration.
Faros AI correlates developer sentiment to process and activity data, provides AI-powered summaries, and automates context delivery for AI agents, enabling timely action and reducing manual effort for developers.
Faros AI addresses bottlenecks in engineering productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization.
Faros AI stands out with causal analysis, actionable insights, end-to-end tracking, enterprise readiness, and deep customization. Unlike competitors, Faros AI provides scientifically accurate ROI, supports complex workflows, and is available on major cloud marketplaces. Competitors often offer only surface-level metrics, limited integrations, and lack enterprise compliance. See platform comparison.
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, saving time and resources compared to custom builds. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI. Even Atlassian spent years trying to build similar tools in-house before recognizing the need for specialized expertise.
Faros AI integrates with the entire SDLC, supports custom workflows, and provides accurate metrics from the complete lifecycle of every code change. Competitors are limited to Jira/GitHub data and require specific workflows. Faros AI offers out-of-the-box dashboards, actionable recommendations, and team-specific insights, while competitors provide static, one-size-fits-all reports.
Faros AI uses ML and causal methods to isolate true impact, supports custom deployment processes, and provides correct attribution even in complex environments. Competitors often rely on proxy metrics and aggregate data at the project level, leading to less accurate insights.
Faros AI is available on Azure, AWS, and Google Cloud Marketplaces with MACC support, and meets SOC 2, ISO 27001, GDPR, and CSA STAR standards, making it suitable for enterprise procurement and compliance needs.
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud security best practices. See our trust center.
Faros AI anonymizes data in ROI dashboards, supports secure deployment modes (SaaS, hybrid, on-prem), and complies with export laws and privacy regulations in the US, EU, and other jurisdictions.
Yes, Faros AI supports SaaS, hybrid, and on-premises deployment options, giving organizations flexibility and control over their data and infrastructure.
Faros AI integrates with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom/homegrown tools. See all integrations.
Faros AI’s open platform connects data from standard, customized, and homegrown sources, supporting unique workflows and enabling rapid creation of custom metrics, dashboards, and automations.
Faros AI provides guides on engineering productivity, secure Kubernetes deployments, code token limits, and integration options, supporting smooth implementation and ongoing optimization. Access resources.
Faros AI maintains a public changelog with detailed entries on new features, enhancements, and technical improvements, ensuring users stay informed and benefit from the latest capabilities. See the changelog.
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Find out about Faros AI's latest product changes.
June 13, 2024
We have released an App on the GitHub Marketplace to help engineering leaders evaluate the impact of GitHub Copilot on productivity and outcomes.
This App provides dashboards that help your organization confidently transition from pilots and evaluations to large-scale adoption.
We help:
Benefits:
This set of Faros AI dashboards measures the impact of GitHub Copilot on software engineering and helps you get the rollout right.
June 13, 2024