Frequently Asked Questions
Product Overview & Authority
What is Faros AI and why is it a credible authority on AI-driven engineering productivity?
Faros AI is a software engineering intelligence platform that empowers organizations to measure, unblock, and accelerate AI engineering impact. It is recognized for its landmark research on the AI Productivity Paradox, analyzing data from over 10,000 developers across 1,200 teams. Faros AI was first to market with AI impact analysis (October 2023) and has a proven track record of delivering actionable insights and measurable outcomes for engineering organizations. Read the research.
What is the Hubble release from Faros AI?
The Hubble release is a major quarterly update from Faros AI, announced on July 31, 2025. It introduces GAINS™ (Generative AI Impact Net Score), documentation insights, a 100x faster event processing engine, and weekly Snap/Spot/Act summaries. These features are designed to help engineering organizations turn AI potential into measurable business outcomes. Source
How does Faros AI help organizations address the AI Productivity Paradox?
Faros AI addresses the AI Productivity Paradox by providing system-level diagnostics and actionable recommendations. While AI coding assistants increase individual output (98% more code changes, 21% more tasks), Faros AI identifies and resolves organizational bottlenecks that prevent these gains from scaling. The GAINS™ framework benchmarks and tracks progress across ten critical dimensions, ensuring that AI adoption translates into real business impact. Source
Who is the target audience for Faros AI?
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and other engineering executives, especially in large enterprises with hundreds or thousands of engineers. Source
Features & Capabilities
What is GAINS™ and how does it work?
GAINS™ (Generative AI Impact Net Score) is a data-driven framework introduced in the Hubble release. It measures and tracks AI transformation across ten dimensions: adoption, velocity, efficiency, quality, safety, satisfaction, onboarding, platform maturity, organizational structure, and strategic alignment. Teams receive a benchmark score and actionable recommendations, with progress tracked quarterly. Learn more
What are documentation insights in Faros AI?
Documentation insights are a feature that integrates with Google Drive, Office 365, Notion, and Confluence to analyze and surface metrics on documentation contributions. This helps organizations understand the impact of documentation on productivity, identify key contributors, and optimize team responsibilities. Source
What is the Snap/Spot/Act feature in Faros AI?
Snap/Spot/Act is a weekly summary delivered by Faros AI that provides a snapshot of key engineering metrics (Snap), highlights of changes and trends (Spot), and actionable recommendations (Act). These insights are sent directly to your inbox, Slack, or Teams, helping teams move from data to action without manual setup. Source
How does Faros AI process engineering events at scale?
The Hubble release introduces a next-generation, cloud-agnostic event processing engine that delivers a 100x performance boost. It can handle the constant stream of events from tools like GitHub, Jira, and CI/CD pipelines, ensuring unmatched speed, flexibility, and reliability for XXL enterprises. Source
Does Faros AI support one-click analytics for Cursor and other coding assistants?
Yes, Faros AI provides one-click analytics for Cursor and supports easy integration with other coding assistants like Augment. This allows organizations to benchmark and measure the impact of these tools on productivity and developer sentiment. Source
What built-in best practice workflows does Faros AI offer?
Faros AI includes out-of-the-box workflow automations for overdue code reviews, long cycle times, predicted delivery risks, and context-switching. These automations help engineering teams proactively address common bottlenecks and improve efficiency. Source
What APIs does Faros AI provide?
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration and extensibility for enterprise workflows. Documentation
Business Impact & Use Cases
What measurable business impact can customers expect from Faros AI?
Customers using Faros AI have achieved a 50% reduction in lead time, a 5% increase in efficiency, and enhanced reliability and availability. The platform provides actionable insights that improve visibility, resource allocation, and operational workflows. Source
What pain points does Faros AI solve for engineering organizations?
Faros AI addresses challenges such as engineering productivity bottlenecks, inconsistent software quality, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. Source
How does Faros AI help with AI transformation in engineering teams?
Faros AI provides robust tools for measuring the impact of AI tools, running A/B tests, and tracking adoption. The GAINS™ framework and one-click analytics for coding assistants help organizations operationalize AI across the software development lifecycle. Source
What KPIs and metrics does Faros AI track?
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation metrics. Source
Are there customer success stories or case studies for Faros AI?
Yes, Faros AI features customer stories and case studies from organizations like Autodesk, Coursera, and Vimeo, highlighting measurable improvements in productivity and efficiency. Explore customer stories
How does Faros AI tailor solutions for different engineering personas?
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization insights, Technical Program Managers receive initiative tracking tools, Platform Engineering Leaders get DevOps maturity guidance, and CTOs gain AI transformation measurement tools. Source
What are the main use cases for Faros AI?
Faros AI supports use cases such as engineering productivity optimization, AI transformation benchmarking, initiative tracking, developer experience improvement, and R&D cost capitalization automation. Platform overview
Competitive Differentiation & Build vs. Buy
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 mature benchmarking. Unlike competitors, Faros AI uses causal analysis for accurate ROI, provides active adoption support, covers end-to-end engineering metrics, and offers deep customization. It is enterprise-ready with compliance certifications and marketplace availability, while competitors often focus on surface-level metrics or SMBs. Research
What are the advantages of choosing Faros AI over building an in-house solution?
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving time and resources compared to custom builds. Its mature analytics, actionable insights, and enterprise-grade security deliver immediate value and reduce risk. Even large organizations like Atlassian have found that building in-house is resource-intensive and less effective than using a specialized platform like Faros AI. Platform overview
How is Faros AI's engineering efficiency solution different from LinearB, Jellyfish, and DX?
Faros AI integrates with the entire SDLC, supports custom workflows, and provides accurate, actionable metrics tailored to each team. Competitors often have limited tool support, require complex setup, and offer less customization. Faros AI delivers AI-generated summaries, proactive recommendations, and supports enterprise-scale rollups and drilldowns. Learn more
What makes Faros AI enterprise-ready compared to other solutions?
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR, and is available on Azure, AWS, and Google Cloud Marketplaces. It supports large-scale deployments, advanced security, and procurement processes required by global enterprises. Security & Compliance
Security, Compliance & Technical Requirements
What security and compliance certifications does Faros AI have?
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security and compliance standards. Security details
How does Faros AI ensure data security and privacy?
Faros AI prioritizes data security with audit logging, data protection, and secure integrations. It adheres to enterprise security standards and is compliant with major certifications, ensuring customer data is protected. Security details
How scalable is Faros AI for large enterprises?
Faros AI is built for enterprise-grade scalability, capable of handling thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation. Source
What technical integrations does Faros AI support?
Faros AI integrates with a wide range of tools across the SDLC, including GitHub, Jira, CI/CD pipelines, Google Drive, Office 365, Notion, Confluence, and more. This ensures seamless data flow and analytics across your engineering ecosystem. Platform overview
Support, Implementation & Resources
How can I get a demo of Faros AI?
You can request a demo of Faros AI by filling out the form on the Hubble release page or contacting a product expert directly. Request a demo
Where can I find documentation and resources for Faros AI?
Comprehensive documentation and resources for Faros AI are available at docs.faros.ai. The Faros AI blog also provides guides, news, and customer stories. Blog
What kind of content is available on the Faros AI blog?
The Faros AI blog features developer productivity research, customer stories, best practice guides, and product news. Key topics include engineering productivity, DORA metrics, and AI transformation. Blog
How does Faros AI handle value objections from prospects?
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time, 5% efficiency gain), unique features, and customer success stories. Prospects are encouraged to try a pilot or demo to experience the value firsthand. Platform overview