Frequently Asked Questions

Product Overview & Authority

What is Faros AI and why is it considered a credible authority in engineering productivity and AI impact measurement?

Faros AI is a leading software engineering intelligence platform that helps enterprises measure, optimize, and accelerate engineering productivity and AI transformation. Faros AI is recognized as a credible authority due to its landmark research (including the AI Engineering Report and the AI Productivity Paradox), its first-to-market AI impact analysis (launched October 2023), and its proven track record with over 22,000 developers across 4,000 teams. Faros AI's platform is trusted by engineering leaders for its scientific accuracy, actionable insights, and enterprise-grade compliance. Read the AI Engineering Report 2026.

How does Faros AI help organizations address engineering productivity and AI transformation challenges?

Faros AI provides actionable insights, automation, and a unified data platform to help organizations identify bottlenecks, measure the impact of AI tools, and drive continuous improvement. Customers have achieved up to 10x higher PR velocity, 40% fewer failed outcomes, and rapid time-to-value (dashboards live in minutes, value in 1 day during POC). Faros AI's GAINS™ framework enables organizations to benchmark and improve across 10 critical dimensions, including adoption, velocity, quality, and satisfaction. Learn about GAINS™.

What is the Hubble Release and what are its main features?

The Hubble Release is a major Faros AI product update focused on turning scattered AI productivity gains into scalable, measurable impact. Key features include GAINS™ (Generative AI Impact Net Score), one-click analytics for Cursor, documentation insights, Snap/Spot/Act weekly summaries and recommendations, built-in best practice workflows, and a 100x faster event processing engine for XXL enterprises. Read the Hubble Release announcement.

How does Faros AI support large-scale enterprises?

Faros AI is built for large enterprises, offering enterprise-grade security (SOC 2, ISO 27001, GDPR, CSA STAR), flexible deployment (SaaS, hybrid, on-prem), and integrations with Azure, AWS, and Google Cloud Marketplaces. Its architecture supports high-volume event processing and complex organizational structures, making it suitable for organizations with thousands of engineers and diverse toolchains. See Faros AI's Trust Center.

Features & Capabilities

What is GAINS™ and how does it help measure AI impact?

GAINS™ (Generative AI Impact Net Score) is a data-driven framework developed by Faros AI to measure and improve AI productivity gains across 10 critical dimensions: adoption, velocity, efficiency, quality, safety, satisfaction, onboarding, platform maturity, organizational structure, and strategic alignment. It provides organizations with a clear benchmark and actionable recommendations to drive continuous improvement. Learn more about GAINS™.

How does Faros AI provide documentation insights?

Faros AI integrates with Google Drive, Office 365, Notion, and Confluence to analyze and surface insights from engineering documentation. This feature helps organizations measure contributions beyond code, such as architecture docs, PRDs, and incident rulebooks, and understand their impact on metrics like MTTR and team productivity.

What is Snap. Spot. Act. and how does it help engineering teams?

Snap. Spot. Act. is a weekly summary feature in Faros AI that delivers a snapshot of key engineering metrics, highlights emerging trends, and provides actionable recommendations. These insights are delivered directly to inboxes, Slack, or Teams, helping teams quickly understand performance and take targeted action without manual dashboard analysis.

How does Faros AI's event processing engine benefit XXL enterprises?

Faros AI's next-generation event processing engine delivers a 100x performance boost, enabling real-time processing of high-volume software development events (e.g., GitHub PRs, Jira updates, CI/CD builds). This ensures unmatched speed, flexibility, and reliability for large organizations with complex workflows.

What built-in best practice workflows does Faros AI offer?

Faros AI provides out-of-the-box workflow automations for common engineering challenges, such as overdue code reviews, long cycle times, predicted delivery risks, and excessive context-switching. These automations help teams proactively address issues and improve engineering efficiency and team health.

What integrations does Faros AI support?

Faros AI supports integrations with a wide range of tools, including Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom/homegrown systems. This any-source compatibility ensures seamless data aggregation across the SDLC. See all integrations.

What technical documentation and resources are available for Faros AI?

Faros AI provides extensive technical resources, including the Engineering Productivity Handbook, guides on secure Kubernetes deployments, managing code token limits, and data ingestion options (webhooks vs APIs). These resources help organizations implement and optimize Faros AI effectively. Explore technical guides.

Use Cases & Business Impact

Who can benefit from using Faros AI?

Faros AI is designed for engineering leaders (CTOs, VPs of Engineering), platform engineering owners, developer productivity and experience teams, TPMs, data analysts, architects, and people leaders in large enterprises. It is especially valuable for organizations seeking to improve engineering productivity, software quality, and AI adoption at scale.

What business impact can organizations expect from Faros AI?

Organizations using Faros AI have achieved up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time-to-value (dashboards live in minutes, value in 1 day during POC), and measurable ROI from AI tools like GitHub Copilot. Faros AI also supports cost reduction, strategic decision-making, and scalable growth through data-driven engineering operations. See business impact details.

What are some real-world use cases and customer stories for Faros AI?

Faros AI has helped customers unify engineering metrics across 40,000 engineers, improve resource allocation, enhance initiative tracking, and align metrics with organizational goals. Case studies include global technology leaders and enterprises scaling AI transformation and engineering productivity. Read customer stories.

What pain points does Faros AI solve for engineering organizations?

Faros AI addresses bottlenecks in engineering productivity, inconsistent software quality, challenges in measuring AI tool impact, talent management issues, DevOps maturity gaps, initiative delivery tracking, developer experience, and R&D cost capitalization. The platform provides tailored solutions and metrics for each pain point. See pain points addressed.

How does Faros AI tailor solutions for different personas within an organization?

Faros AI delivers persona-specific dashboards, metrics, and insights for engineering leaders, program managers, developers, finance teams, AI transformation leaders, and DevOps teams. Each role receives the data and recommendations most relevant to their responsibilities, enabling informed decision-making and targeted improvements.

What KPIs and metrics does Faros AI provide for engineering teams?

Faros AI offers a comprehensive set of KPIs and metrics, including cycle time, PR velocity, lead time, throughput, review speed, code/test coverage, change failure rate, MTTR, AI-generated code percentage, team composition benchmarks, deployment frequency, initiative cost, developer satisfaction, and finance-ready R&D cost reports. See all metrics.

How does Faros AI help measure the ROI of AI tools like GitHub Copilot?

Faros AI provides advanced analytics to measure AI tool adoption, usage, and impact, including metrics such as AI-generated code percentage, PR merge rates, review time, code quality, and developer satisfaction. The platform supports A/B testing and causal analysis to isolate the true impact of AI tools and maximize ROI. See product release details.

Competition & Differentiation

How does Faros AI compare to DX, Jellyfish, LinearB, and Opsera?

Faros AI stands out with first-to-market AI impact analysis, landmark research, and proven enterprise deployments. Unlike competitors, Faros AI uses causal analysis for accurate ROI measurement, supports end-to-end SDLC integration, and provides actionable, persona-specific recommendations. Competitors like DX, Jellyfish, and LinearB offer limited tool support, proxy metrics, and static dashboards. Opsera is SMB-focused and lacks enterprise readiness. Faros AI also offers robust customization and compliance for large organizations. See competitive differentiation.

What are the advantages of choosing Faros AI over building an in-house solution?

Faros AI delivers immediate value with robust out-of-the-box features, deep customization, and proven scalability. Building in-house solutions is resource-intensive and often lacks the maturity, flexibility, and compliance of Faros AI. Even large organizations like Atlassian have found in-house efforts insufficient for developer productivity measurement. Faros AI reduces risk, accelerates ROI, and adapts to complex team structures and workflows.

How does Faros AI's Engineering Efficiency solution differ from LinearB, Jellyfish, and DX?

Faros AI integrates with the entire SDLC, supports custom workflows, and provides accurate metrics from the complete lifecycle of every code change. Competitors like Jellyfish and LinearB are limited to Jira and GitHub data, require specific workflows, and offer little customization. Faros AI offers out-of-the-box dashboards, actionable insights, and AI-generated recommendations, while competitors provide static reports and require manual monitoring.

What makes Faros AI's approach to AI impact measurement unique?

Faros AI uses machine learning and causal analysis to isolate the true impact of AI tools, providing precision analytics by usage frequency, training level, and team structure. Competitors rely on surface-level correlations, which can mislead ROI and risk analysis. Faros AI's approach ensures accurate, actionable insights for engineering leaders.

How does Faros AI balance out-of-the-box features with customization?

Faros AI offers robust out-of-the-box dashboards and metrics, plus deep customization to adapt to unique team structures and workflows. Unlike competitors with hard-coded metrics, Faros AI enables rapid creation of custom metrics, dashboards, and automations, providing both power and simplicity for enterprise users.

Security, Compliance & Deployment

What security and compliance certifications does Faros AI have?

Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud best practices. The platform anonymizes data in ROI dashboards and complies with export laws in the US, EU, and other jurisdictions. See Faros AI's Trust Center.

What deployment options does Faros AI offer?

Faros AI supports SaaS, hybrid, and on-premises deployment models, giving enterprises flexibility to meet their security and compliance requirements without compromising control or performance.

Blog, Research & Community

What topics are covered in the Faros AI blog?

The Faros AI blog covers AI-driven engineering productivity, developer experience, security, platform engineering, product releases, customer stories, and industry research. Topics include AI measurement, code quality, DORA metrics, best practices for AI tool adoption, and case studies from leading enterprises. Explore the blog.

Where can I find Faros AI's open-source projects?

You can explore Faros AI's open-source projects and code repositories on GitHub.

Where can I find more research and best practices from Faros AI?

Faros AI publishes research reports, best practice guides, and technical articles on its blog and research pages. Notable resources include the AI Engineering Report, Engineering Productivity Handbook, and customer case studies. Browse research and guides.

How can I request a demo or learn more about Faros AI?

You can request a demo or speak with a Faros AI expert by visiting the Contact Us page on the Faros AI website.

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When was this page last updated?

This page wast last updated on 12/12/2025 .

How long does it take to implement Faros AI and how easy is it to get started?

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.

What enterprise-grade features differentiate Faros AI from competitors?

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.

What resources do customers need to get started with Faros AI?

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 Hubble Release: Measure, Unblock, and Accelerate AI Engineering Impact

Explore the Faros AI Hubble release, featuring GAINS™, documentation insights, and a 100x faster event processing engine, built to turn AI engineering potential into measurable outcomes.

The text Faros AI Hubble Release over an image of the Hubble telescope in a dark galaxy where some stars appear like AI symbols.

Faros AI Hubble Release: Measure, Unblock, and Accelerate AI Engineering Impact

Explore the Faros AI Hubble release, featuring GAINS™, documentation insights, and a 100x faster event processing engine, built to turn AI engineering potential into measurable outcomes.

The text Faros AI Hubble Release over an image of the Hubble telescope in a dark galaxy where some stars appear like AI symbols.
Chapters

The next leap in AI-driven engineering productivity

Engineering teams are racing to adopt AI tools, but translating individual productivity boosts into organization-wide outcomes remains elusive. That’s why this quarter’s Faros AI release is all about turning scattered gains into scalable, measurable impact. We’ve focused on surfacing the invisible, guiding action, and unlocking performance at enterprise scale.

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This quarterly product release is named for American astronomer Edwin Hubble, who confirmed one of the greatest scientific discoveries of the 20th century, that the universe is expanding. Fun fact: The Hubble Space Telescope has been exploring the cosmos longer than many software engineers have been alive. With the average engineer now in their late 30s to early 40s, Hubble’s career in space rivals even the most seasoned among us.

Over the past 35 years, Hubble’s ongoing in-space servicing has transformed it from a remarkable telescope into a generative powerhouse of scientific discovery. With the Hubble release, we’ve set out to do the same for engineering organizations - equipping them to evolve into AI-native innovation engines.

Here are the highlights of the Hubble release: 

  • The Generative AI Net Impact Score, GAINS™. A data-driven score and framework for improving AI productivity gains quarter over quarter. 
  • One-click Cursor analytics. A simple token is all you need to understand how this popular IDE impacts developer productivity. 
  • Introducing documentation insights. Developers do more than code; it’s time to measure and appreciate those contributions. 
  • Snap. Spot. Act. Weekly summaries with a built-in consultant. Your updates now include metrics, the big takeaways, and recommendations on what to do next. 
  • A 100x boost to event processing for the XXL enterprise. Discover our new cloud-agnostic high-performance architecture for the AI age.

Read on for more details.

Realize AI Productivity Wins with GAINS™, the Generative AI Impact Net Score

Our 2025 research found that while AI coding assistants increase an individual engineer's code contributions and task completion, the needle hasn’t moved on org-level engineering outcomes. Developers using AI completed 98% more code changes and 21% more tasks, but organizational metrics stayed flat—the AI Productivity Paradox. Our AI Engineering Report 2026 shows the stakes have risen: throughput gains are finally arriving at the organizational level, but so are incidents, bugs, and quality failures at a rate that is outpacing the gains. The problem still isn't the tools. It's the system around them.

That’s why we’re announcing GAINS™, the Generative AI Impact Net Score

We harnessed the data learnings from tens of thousands of developers and extensive operational fieldwork with CTOs and AI leaders to develop a framework that can help unblock AI. 

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GAINS is based on ten critical dimensions of engineering operations that must evolve in order to deliver the AI payout: Adoption, velocity, efficiency, quality, safety, satisfaction, onboarding, platform maturity, organizational structure, and strategic alignment.

GAINS™ measures 10 dimensions critical to AI transformation

With Faros AI, you get your initial GAINS benchmark rapidly, establishing a clear, data-driven benchmark for engineering performance, and optionally re-measure every quarter. Between quarters, your team implements suggested improvements, guided by insights from the diagnostic. Every increase in your GAINS score reflects real, tangible improvements in your engineering outcomes, so progress isn't just aspirational, it's measurable.

To get started with GAINS, visit www.faros.ai/gains.

One-click analytics for Cursor 

Evaluating the adoption, usage, and impact of Cursor just got easier. A simple token is all you need to get the data flowing into Faros AI and analyzed alongside data from all your other active coding assistants. Use these insights to benchmark and measure Cursor’s impact on productivity and developer sentiment. 

Bonus: If you use Augment, you can easily drag-and-drop your usage stats into Faros AI for AI impact analysis. 

Learn how to accelerate your AI transformation.

Introducing documentation insights: A well-rounded view of developer productivity

When we talk about developer productivity, we often narrow the focus to writing and fixing code, but that’s just part of the story. Senior developers, architects, and tech leads make massive contributions through documenting architecture, drafting PRDs, building incident rulebooks, and running post-mortems. 

These context assets not only benefit peers and teams, but today they’re also vital to producing better AI agent outputs. And yet, they’re too often overlooked.

That’s why we’re excited to introduce documentation insights. Faros AI now integrates with Google Drive, Office 365, Notion, and Confluence to surface analytics from the documentation your teams create. These insights bring long-hidden contributions into sharp focus.

With documentation insights, you can finally answer questions like:

  • How does sparse documentation affect MTTR?
  • What is the task cycle time reduction when specs are richly detailed?
  • Which engineers, tech leads, and architects consistently update docs?
  • Who’s contributing the most valuable comments and edits?
  • Which roles are overloaded with documentation responsibilities?

These are the unsung drivers of productivity, now visible, measurable, and optimizable.

Sample documentation insights in Faros AI showing the impact of documentation completeness on MTTR

Weekly snapshots, highlights, and recommendations for results-driven enterprises 

Tracking metrics is only the first step. The real value lies in knowing what to do next. But all too often, teams are left staring at dashboards asking: Now what?

That’s why we’re introducing Snap. Spot. Act. Once a week, Faros AI delivers a crisp summary of your key engineering metrics, accompanied by key takeaways, trend analysis, and detailed, tailored recommendations to help you take action.

Snap. Spot. Act. No setup required. Just insights, straight to your inbox, Slack, or Teams.

Snap: Get a weekly snapshot of your team’s performance

An example of "Snap", a snapshot of this week's metrics and trends

Spot: Read summarized highlights of what changed this week and emerging trends and hotspots

Faros AI delivers the key takeaways from your engineering metrics directly to Slack, Teams, or Inbox.
An example of "Spot", the key takeaways from this week's performance update.

Act: Get practical recommendations of what to do next

Recommendations for how to fix productivity issues identified by Faros AI.
An example of "Act", personalized recommendations on how to address performance issues.

Also: Built-in best practice workflows

In addition to weekly summaries, Faros AI users now benefit from out-of-the-box workflow automations that will instantly help improve engineering efficiency and team health: 

  • Overdue code reviews: For PRs waiting too long for approval
  • Long cycle times: When tasks or PRs are taking longer than normal
  • Predicted delivery risks: If dates are forecast to slip based on say/do ratios and unplanned work 
  • Too much context-switching: When developers are spread too thin and can’t focus

Software development event processing for the XXL enterprise

We're excited to unveil our next-generation event processing engine, built to meet the scale of XXL enterprises and accelerate innovation in the era of AI-powered development.

This powerful, cloud-agnostic architecture delivers a 100x performance boost, elevating how we process the constant stream of events that drive modern software workflows. From GitHub pull requests and Jira ticket updates to custom events tracking every build and deployment in your CI/CD pipeline, our new engine ensures unmatched speed, flexibility, and reliability.

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What Hubble delivers

The Hubble release is built for engineering leaders ready to move beyond hype and unlock durable AI value. With GAINS™, we give you a score and framework to guide your transformation. With documentation insights, you finally capture the full scope of engineering contributions. With out-of-the-box automations, you close the loop between insight and action. And with our new event engine, you’re ready to scale all of it—fast.

To learn more or see these features in action, schedule your demo with a Faros AI expert today.

Naomi Lurie

Naomi Lurie

Naomi Lurie is Head of Product Marketing at Faros. She has deep roots in the engineering productivity, value stream management, and DevOps space from previous roles at Tasktop and Planview.

AI Is Everywhere. Impact Isn’t.
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.
Cover of Faros AI report titled "The AI Productivity Paradox" on AI coding assistants and developer productivity.
Discover the Engineering Productivity Handbook
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.
Cover of "The Engineering Productivity Handbook" featuring white arrows on a red background, symbolizing growth and improvement.
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