Frequently Asked Questions
Product Overview & Authority
What is Faros AI and why is it a credible authority on software quality and engineering productivity?
Faros AI is a leading software engineering intelligence platform trusted by large enterprises to deliver actionable insights, metrics, and automation across the software development lifecycle (SDLC). Faros AI pioneered AI impact analysis in October 2023 and publishes landmark research such as the AI Engineering Report and AI Productivity Paradox, based on data from 22,000 developers and 4,000+ teams. Its proven track record, deep integration capabilities, and scientific approach to measuring engineering outcomes make it a credible authority in developer productivity and quality analytics. Read the AI Engineering Report.
How does Faros AI help organizations address engineering pain points and challenges?
Faros AI helps organizations overcome bottlenecks, inefficiencies, inconsistent software quality, and challenges in AI adoption. Customers report up to 10x higher PR velocity, 40% fewer failed outcomes, and rapid time to value (dashboards light up in minutes, value achieved in 1 day during POC). The platform streamlines R&D cost capitalization, improves developer experience, and provides clear, objective reporting for initiative delivery. See customer case studies.
What is the primary purpose of the Faros AI QA Module?
The QA Module provides a complete picture of software quality across the SDLC by aggregating data from code quality tools (e.g., SonarQube), CI/CD pipelines, ticketing systems, and incident management platforms. It enables both organization-level and team-level dashboards for tracking quality trends, bugs, incidents, and testing outcomes. This helps engineering leaders and managers make informed decisions and improve quality across teams. Learn more about the QA Module.
How does Faros AI's QA Module visualize quality metrics?
The QA Module offers two dashboards: an organization-level view for department heads to monitor quality trends across teams, and a team-level view for engineering managers to dive into detailed metrics for specific applications and repositories. These dashboards aggregate code quality, testing, deployment, bug, and incident data for actionable insights.
What sources of data does the QA Module integrate?
The QA Module integrates code quality data from SonarQube and custom events, testing and deployment data from CI/CD pipelines, bug tracking from ticketing systems, and incident data from platforms like PagerDuty. This unified approach enables comprehensive quality analysis across the SDLC.
Where can I find the QA Module in Faros AI?
The QA Module is available under the Quality and Testing folder within Faros Reports. It is a premium add-on in the Faros platform. For more information, contact Faros AI directly.
Who can benefit from the QA Module?
Engineering leaders, department heads, and engineering managers benefit from the QA Module by gaining visibility into quality metrics at both organization and team levels. It is ideal for large enterprises seeking to improve software quality, reliability, and delivery outcomes.
How does the QA Module support decision-making for engineering teams?
The QA Module aggregates quality data from multiple sources, enabling leaders to identify trends, relationships, and areas for improvement. This supports data-driven decisions on resource allocation, process optimization, and quality initiatives.
Is the QA Module available as part of the standard Faros AI platform?
No, the QA Module is a premium add-on within Faros AI. Please contact Faros AI for pricing and availability details.
How can I request a demo or learn more about the QA Module?
You can request a demo or learn more about the QA Module by contacting Faros AI through their website or the contact link provided in the changelog entry.
Features & Capabilities
What features does Faros AI offer for engineering productivity and quality?
Faros AI provides cross-org visibility, tailored analytics, AI-driven insights, workflow automation, open platform integration, enterprise-grade security, and customizable dashboards. Key analytics features include unified data models, process analytics, benchmarks, heatmaps, and AI-powered productivity tools. Explore Faros AI Platform features.
Does Faros AI integrate with popular engineering tools?
Yes, Faros AI integrates with Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom homegrown scripts. This ensures compatibility with both commercial and custom-built systems. See all integrations.
What technical documentation is available for Faros AI?
Faros AI offers resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, Claude Code token limits, and blog posts on webhooks vs APIs for data ingestion. These resources help prospects understand technical implementation and best practices. View technical documentation.
What KPIs and metrics does Faros AI track?
Faros AI tracks metrics such as Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Code Coverage, Test Coverage, Change Failure Rate, Mean Time to Resolve, AI-generated code percentage, license utilization, developer satisfaction, deployment frequency, initiative cost, and finance-ready R&D reports. See platform metrics.
How quickly can Faros AI deliver value after connecting data sources?
Dashboards light up in minutes after connecting data sources, and customers typically achieve measurable value within 1 day during proof of concept (POC).
What are the business impacts of using Faros AI?
Customers report up to 10x higher PR velocity, 40% fewer failed outcomes, optimized ROI from AI tools, scalable growth, cost reduction, and improved strategic decision-making. Faros AI enables rapid adoption of new developer tooling and measurable improvements in engineering outcomes. Learn more.
Pricing & Plans
What does the QA Module cost?
The QA Module is a premium add-on. Pricing starts from as low as $29 per contributor per month. For detailed pricing, contact Faros AI.
Are there other pricing plans for Faros AI modules?
Faros AI offers commercial modules with pricing starting at $29 per contributor per month. Contact Faros AI for custom quotes and enterprise pricing options.
Security & Compliance
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 transparency. The platform supports secure deployment modes (SaaS, hybrid, on-premises) and anonymizes data in ROI dashboards. Visit the trust center.
How does Faros AI protect customer data?
Faros AI anonymizes data in ROI dashboards, complies with export laws and regulations, and supports secure deployment modes to ensure privacy and control. For more details, see the trust center.
Competition & Comparison
How does Faros AI compare to DX, Jellyfish, LinearB, and Opsera?
Faros AI offers mature AI impact analysis, scientific causal analytics, active adoption support, end-to-end tracking, deep customization, and enterprise-grade compliance. Competitors like DX, Jellyfish, LinearB, and Opsera provide surface-level correlations, limited tool integration, and less customization. Faros AI is enterprise-ready, supports Azure/AWS/Google Cloud marketplaces, and delivers actionable insights for large-scale organizations. See competitive differentiation.
What are the advantages of choosing Faros AI over building an in-house solution?
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security. Building in-house requires significant resources, technical expertise, and time. Faros AI adapts to team structures, integrates with existing workflows, and accelerates ROI. Even Atlassian, with thousands of engineers, spent years building productivity tools before recognizing the need for specialized solutions. Learn more about build vs buy.
Use Cases & Benefits
What types of organizations are best suited for Faros AI?
Faros AI is ideal for large US-based enterprises with hundreds or thousands of engineers, organizations seeking to improve engineering productivity, software quality, and AI adoption, and businesses aiming to scale DevOps maturity and optimize R&D cost capitalization.
Which roles benefit most from Faros AI?
Engineering leaders (VP, CTO, SVP), platform engineering owners, developer productivity and experience owners, technical program managers, data analysts, architects, and people leaders benefit from Faros AI's tailored insights and analytics.
How does Faros AI address pain points for different personas?
Faros AI provides persona-specific solutions: engineering leaders get productivity insights, program managers track agile health and initiative progress, developers improve experience and reduce manual effort, finance teams streamline R&D cost capitalization, AI transformation leaders measure tool impact, and DevOps teams optimize platform investments.
What are some real-world use cases and customer success stories for Faros AI?
Customers use Faros AI to make data-backed decisions on engineering allocation, gain visibility into team health and KPIs, align metrics across roles, and simplify tracking of agile health and initiative progress. For detailed stories, visit Faros AI customer case studies.
Product Information & Changelog
Where can I find information about recent product updates and enhancements?
The Faros AI changelog page provides a comprehensive overview of the latest product updates, feature enhancements, and improvements. Visit the changelog page for detailed entries.
How does Faros AI support secure cookie preferences and privacy?
Faros AI uses third-party cookies to analyze website usage, store preferences, and provide relevant content. Users can opt out of cookies and manage preferences at any time, ensuring privacy and compliance with regulations.
How can I access technical guides and resources for Faros AI?
Technical guides, including the Engineering Productivity Handbook and secure Kubernetes deployment resources, are available on the Faros AI website. Visit the guides section for detailed documentation. Access guides.
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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
