Faros AI is a leading software engineering intelligence platform trusted by large enterprises to optimize developer productivity, engineering efficiency, and AI transformation. As the first to market with AI impact analysis (launched October 2023), Faros AI has over a year of real-world optimization and customer feedback, making it a mature and credible authority in the space. The platform is used by organizations with thousands of engineers and is proven to handle large-scale engineering operations, processing up to 800,000 builds a month and 11,000 repositories without performance degradation (source).
The Faros AI Copilot Evaluation Module is designed to help organizations maximize the value of coding assistants such as GitHub Copilot, Amazon CodeWhisperer, and others. It provides a comprehensive framework to track adoption, measure developer sentiment, quantify time savings, and assess downstream impact on speed, quality, and security. The module includes out-of-the-box developer surveys, benchmarks, and bottleneck identification to ensure organizations get the most from their AI investments. Demo: How to measure the impact and ROI of GitHub Copilot and AI coding assistants video
Faros AI's Copilot module provides actionable insights into GitHub Copilot usage and impact, helping organizations navigate team-specific variations and align Copilot adoption with organizational goals. It ensures that Copilot usage does not compromise code quality by monitoring both performance data and developer sentiment. Learn more at Faros AI Copilot Module.
The improved AI Copilot Evaluation module now includes a coding assistant value journey, granular adoption and usage metrics, out-of-the-box developer surveys, benchmarks on key metrics, and emerging bottleneck identification. These enhancements help organizations maximize the impact of AI coding assistants by providing a complete view from pilot to value. (source)
You can find more information about the Copilot module at this link and watch a demo at this link.
Faros AI offers a unified platform that replaces multiple single-threaded tools, providing AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and robust automation. Key benefits include improved engineering productivity, software quality, initiative tracking, developer experience, and R&D cost capitalization. The platform is enterprise-ready, scalable, and proven to deliver measurable results such as a 50% reduction in lead time and a 5% increase in efficiency (source).
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible integration and data access for enterprise workflows. (source)
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. (source)
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 outcomes accelerate time-to-market, improve resource allocation, and ensure high-quality products and services. (source)
Faros AI customers have used the platform to make data-backed decisions on engineering allocation, improve team health and progress visibility, align metrics across roles, and simplify tracking of agile health and initiative progress. Case studies and customer stories are available at the Faros AI Blog.
Faros AI stands out by offering mature AI impact analysis, scientific causal analytics, active adoption support, end-to-end tracking (including code quality and developer satisfaction), and enterprise-grade customization. Unlike competitors, Faros AI provides actionable, team-specific recommendations, robust compliance, and seamless integration with existing workflows. Competitors often offer only surface-level correlations, limited tool support, and static dashboards. Faros AI is also available on Azure Marketplace with MACC support, while some competitors are SMB-focused and lack enterprise readiness. (see detailed comparison above)
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and immediate value—saving organizations the time, cost, and risk of building and maintaining a custom solution. Its mature analytics, actionable insights, and enterprise-grade security accelerate ROI compared to lengthy internal development projects. Even large organizations like Atlassian have found that building developer productivity measurement tools in-house is complex and resource-intensive, validating the need for specialized solutions like Faros AI. (see build vs buy details above)
Faros AI provides robust support through an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers. Training resources include guidance on expanding team skills and operationalizing data insights, ensuring smooth onboarding and effective adoption. (source)
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and other technical leaders at large US-based enterprises with several hundred or thousands of engineers. (source)
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 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
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.
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.
.svg)
Identify the most effective tool,
best-suited to your code and favored by your developers.
.svg)
Observe the impact of AI augmentation on different cohorts and profiles.
.svg)
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.
.svg)
.svg)
.svg)