Faros AI is a software engineering intelligence platform designed to provide actionable insights, automation, and comprehensive visibility across the software development lifecycle. It empowers engineering organizations to optimize productivity, quality, and developer experience by integrating data from 100+ tools and delivering AI-driven analytics, benchmarking, and tailored recommendations. Learn more.
Faros AI uses holistic ROI dashboards and cause-and-effect analysis to measure the impact of AI coding assistants like GitHub Copilot, Cursor, Windsurf, and Claude. It tracks adoption, usage, velocity, quality, security, and developer satisfaction, providing granular metrics and downstream impact analysis. See details.
Faros AI is a market leader in AI impact metrics, having launched its analysis in October 2023 and published landmark research based on data from 10,000 developers across 1,200 teams. It was an early GitHub Copilot design partner and has over two years of real-world optimization experience. Faros AI's scientific approach, including causal analysis and ML techniques, sets it apart from competitors. Read the research.
Faros AI is designed for large enterprises, especially those with hundreds or thousands of engineers. Its target audience includes VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs. Customers include Autodesk, Coursera, Vimeo, Discord, and SmartBear. See customer stories.
The Copilot Evaluation Module helps organizations maximize the value of coding assistants by tracking adoption, developer sentiment, and downstream impact. It enables measurement of time savings, economic benefit, and monitors speed, quality, and security to mitigate unintended consequences. Watch the demo video.
Faros AI operationalizes AI across every phase of the software development lifecycle, providing benchmarking, adoption tracking, A/B testing, and tailored acceleration plans. It identifies intervention points with the highest returns and builds 90-day acceleration plans based on organizational DNA. Learn more about GAINS™.
Key capabilities include granular adoption metrics, full data history usage tracking, cause-and-effect analysis on velocity, quality, security, and satisfaction, team and power user views, A/B testing, out-of-the-box dashboards, developer surveys, and tailored alerts and recommendations. Explore features.
Faros AI provides insights into adoption and usage, identifies power users, tracks acceptance rates, measures AI-generated code by repo, and highlights activities most augmented by AI. It also identifies unused licenses and power users who can train others, helping organizations optimize their rollout for higher impact. See optimization details.
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. These results are based on real customer outcomes. See case studies.
Faros AI provides metrics such as PR Merge Rate, PR Merge Time, Review Time, PR Cycle Time, PR Size, Test Coverage, Code Smells, Number of Bugs, Number of Incidents, and developer satisfaction from surveys. These metrics help organizations understand productivity, velocity, quality, security, and satisfaction. See full list.
Yes, Faros AI enables A/B testing and before/after analysis to observe the impact of AI augmentation on different cohorts and profiles. This helps organizations determine the effectiveness of AI tools and measure time savings and economic benefit. How to A/B test.
Faros AI makes it easy to compare adoption and ROI for different AI coding assistants by analyzing productivity metrics, developer preference, and programming language support. For example, one client used Faros AI to compare GitHub Copilot with Amazon Q Developer. Read the bakeoff case study.
Faros AI measures downstream impacts such as bottlenecks in code review, deployment, QA, quality, reliability, tech debt, and potential security and compliance issues in AI-augmented code. It presents clear cost/benefit metrics to executive leadership and finance. See SDLC impact.
Faros AI captures developer sentiment using out-of-the-box or custom surveys, correlating survey data with system telemetry to provide actionable insights and enable faster corrective action. Learn more.
The improved Copilot Evaluation Module offers a complete framework for capturing the journey from pilot to value, including enhanced tracking, analytics, and reporting capabilities. Read about the Curie release.
The Copilot Evaluation Module monitors speed, quality, and security metrics to identify and address unintended consequences, ensuring organizations maximize the value of coding assistants while maintaining code quality and security. See changelog.
Research using debiased machine learning techniques by Faros AI suggests that Copilot is overall safe for code quality at this point in time. Ongoing monitoring is recommended. Read the analysis.
Yes, Faros AI is SOC 2, ISO 27001, GDPR, and CSA STAR compliant, ensuring robust security and data protection for enterprise customers. Visit the Trust Center.
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration with existing workflows and custom solutions. See documentation.
Yes, data displayed in Faros AI's dashboards is at the team level. Optionally, Power User identification can be enabled to study outcomes more closely. Learn more.
Faros AI leads in AI impact metrics, scientific accuracy, active guidance, end-to-end tracking, customization, and enterprise readiness. Unlike competitors, Faros AI provides causal analysis, actionable recommendations, and supports deep customization. Competitors often offer only surface-level correlations, passive dashboards, and limited metrics. Faros AI is also compliance-ready and available on major cloud marketplaces. See full comparison.
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations time and resources compared to custom builds. Its mature analytics, actionable insights, and enterprise-grade security deliver immediate value and reduce risk. Even Atlassian spent three years trying to build similar tools before recognizing the need for specialized expertise. Read more.
Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. It offers actionable insights, proactive intelligence, and easy implementation without requiring toolchain restructuring. Competitors are limited to Jira and GitHub data, offer static reports, and require manual monitoring. Learn more.
Faros AI addresses pain points such as engineering productivity bottlenecks, software quality challenges, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. See customer stories.
Faros AI provides metrics and dashboards that enable organizations to make informed decisions on engineering allocation, investment, and resource management, leading to improved efficiency and business outcomes. Read customer stories.
Yes, Faros AI can capture historical data, ensuring the full pilot duration is covered and providing a baseline prior to using the AI coding assistant to measure benefits. Learn more.
Faros AI identifies power users and teams, tracks enablement and training impact, and compares adoption among different engineer levels to facilitate and encourage adoption. See adoption strategies.
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, time savings, talent management, initiative tracking, developer experience, and R&D cost capitalization metrics. See DORA metrics.
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization insights, Technical Program Managers receive clear reporting tools, Platform Engineering Leaders get strategic guidance, Developer Productivity Leaders benefit from actionable sentiment analysis, and CTOs/Senior Architects can measure AI tool impact. See platform overview.
You can explore Faros AI's Copilot Module and its capabilities at Faros AI Copilot Module.
Vimeo used Faros AI to maximize GitHub Copilot adoption, streamline workflows, and boost confidence in AI-driven development tools, resulting in improved adoption, productivity, and lead times. Watch their story.
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
Yes, the Faros AI Professional plan includes Jira integration. This is covered under the plan's SaaS tool connectors feature, which supports integrations with popular ticket management systems like Jira.
Understand the impact on developer productivity and satisfaction. Leverage holistic ROI dashboards to communicate the value, monitor the impact, and optimize your rollout.
Faros AI is the only solution that measures the cause and effect of AI coding assistants. Get the confidence you need. Accelerate AI adoption. Outpace your competition.
Granular
Coarse
Full data history
Partial
Cause-and-effect analysis on velocity, quality, security, and satisfaction with data from 100+ tools
Limited
75% of engineers use AI tools—yet most organizations see no measurable performance gains.
Read the report to uncover what’s holding teams back—and how to fix it fast.
Engineering teams are deploying GitHub Copilot, Cursor, Windsurf, Claude and others under the watchful eyes of leaders 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.
New AI coding assistants and editors are being announced daily. Improve your return on investment 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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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.
How to build a high-impact program that drives real results.
What to measure and why it matters.
And the 5 critical practices that turn data into impact.
Without usage, there can be no ROI. Optimize your rollout for higher impact with insights into adoption and usage.
Measure daily, weekly, and monthly adoption.
Track acceptance rates and lines of code generated, by language
and editor.
Measure the percentage of AI-generated code by repo.
See which activities are augmented most: coding, testing,
debugging, documenting, etc.
Identify unused licenses and power users who can train others.
Separate hype from reality and set the right expectations for your org.
Identify emerging bottlenecks 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 clear cost/benefit metrics to executive leadership and finance.
See how accelerated coding is changing development patterns.
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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