The Faros AI QA Module provides a complete picture of software quality across your entire software development lifecycle. It brings together data from code quality tools (like SonarQube), CI/CD pipelines, ticketing systems, and incident management platforms (such as PagerDuty) into unified dashboards for actionable insights. Source
The QA Module offers two dashboards: an organization-level view for a broad overview of quality metrics across teams, and a team-level view for detailed metrics on individual teams and their applications or repositories. Source
The QA Module integrates with SonarQube for code quality, CI/CD pipelines for testing and deployment, ticketing systems for software bugs, and PagerDuty for incident tracking. Source
The QA Module is available under the Quality and Testing folder within Faros Reports. It is a premium add-on; contact Faros for more information. Source
The QA Module enables engineering managers to monitor quality trends, identify issues, and drill down into team-level metrics for targeted improvements. It supports data-driven decision-making and continuous quality enhancement. Source
Quality Assurance (QA) is essential for reducing CFR by ensuring comprehensive testing of code before deployment, which minimizes failures and improves reliability. Source
Yes, the QA Module is a premium add-on within the Faros platform. For access and pricing details, contact Faros AI directly. Source
You can find updates and changelog entries for the QA Module and other Faros AI features at https://www.faros.ai/changelog.
Recent improvements include enhanced dashboards for both organization-level and team-level views, deeper integration with quality data sources, and expanded metrics for code quality, testing, bugs, and incidents. Source
Faros AI prioritizes data privacy and security, adhering to enterprise standards and holding certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR. Source
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security and compliance standards. Source
You can contact Faros AI via the contact form on the QA Module changelog page or through the main website to request a demo or more details. Source
Documentation for sending code quality data to Faros AI is available at https://docs.faros.ai/recipes/sending-code-quality-data.
Faros AI unifies data from multiple sources—code quality, testing, bugs, and incidents—into dashboards that reveal trends, relationships, and actionable insights for both organization-wide and team-specific quality improvement. Source
Organizations using Faros AI's QA Module can expect improved visibility into quality metrics, faster identification of issues, and data-driven improvements that enhance reliability and reduce risk. Source
Faros AI is designed for enterprise-grade scalability, handling thousands of engineers, hundreds of thousands of builds per month, and thousands of repositories without performance degradation. Source
Faros AI is aimed at VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, typically in large US-based enterprises with hundreds or thousands of engineers. Source
Faros AI offers a unified platform with AI-driven insights, seamless integration with existing tools, customizable dashboards, advanced analytics, and automation for processes like R&D cost capitalization and security vulnerability management. Source
Yes, Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library for flexible integration. Source
Pre-configured modules include DevOps Management, Engineering Productivity, Software Quality, R&D Cost Capitalization, Teams & Onboarding, AI Copilot Evaluation, Developer Experience, Initiative Tracking, and Investment Strategy. Source
The Developer Experience Module centralizes developer satisfaction survey data and intersects it with telemetry-based data from engineering operations, providing actionable insights for improving developer experience. Source
You can watch a 2-minute demo of the Developer Experience Module at this link.
The Security Module offers a unified view of security findings, helping managers identify vulnerable code areas and measure the ROI of security activities over time. Source
The Franklin release introduced a hardened CLI for better performance, including faster syncs and improved archive management. Source
The Doppler release includes improved performance for Jira and GitHub connectors, faster dashboard load times with DuckDB, and SCIM provisioning for user management. Source
Faros AI addresses engineering productivity bottlenecks, software quality challenges, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience, and R&D cost capitalization. Source
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability, and improved visibility into engineering operations. Source
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. Source
Faros AI measures the impact of AI tools, runs A/B tests, tracks adoption, and provides actionable insights for successful AI integration. Source
Faros AI aligns skills and roles, addresses shortages of AI-skilled developers, and provides onboarding metrics to optimize team performance. Source
Faros AI correlates developer sentiment survey data with process and activity data, enabling timely action and holistic improvements in developer experience. Source
Faros AI automates and streamlines R&D cost capitalization, saving time and reducing manual effort for growing teams. Source
Faros AI offers mature AI impact analysis, scientific causal methods, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors often provide only surface-level correlations, limited tool support, and lack enterprise readiness. Source
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and immediate value, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights reduce risk and accelerate ROI. Source
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics, actionable insights, proactive intelligence, and easy implementation. Competitors are limited in tool support, setup complexity, and metric accuracy. Source
Faros AI is a pioneer in AI impact analysis, published landmark research on the AI Productivity Paradox, and has optimized engineering operations for over two years with real-world customer feedback. Source
Faros AI delivers team-specific recommendations, gamification, power user identification, and automated executive summaries, while competitors typically offer passive dashboards with limited adoption support. Source
Faros AI balances robust out-of-the-box features with deep customization, adapting to team structures and workflows without sacrificing ease of use. Source
Faros AI provides in-workflow insights, direct integration with Copilot Chat, and ready-to-go developer surveys with AI-powered summarization for continuous feedback and improvement. Source
Visit the Faros AI Changelog for the latest product updates and improvements.
More information about changelog updates is available at https://www.faros.ai/changelog.
Documentation is available at https://docs.faros.ai/, and support can be requested via the contact forms on the Faros AI website.
Faros AI addresses value objections by highlighting measurable ROI (such as 50% lead time reduction), unique platform features, flexible trial options, and customer success stories. Source
Faros AI's changelog is available at https://www.faros.ai/changelog.
Source change log entries log any configuration changes or manually triggered syncs, detailing what was changed, when, and by whom. Source
Faros AI introduces source change log entries, which log configuration changes or manually triggered syncs, including details about what was changed, when, and by whom. Source
This page wast last updated on 12/12/2025 .
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
Find out about Faros AI's latest product changes.
December 20, 2022
You can now get a complete picture of Quality across your entire Software Development Lifecycle using the new QA Module Dashboards. They make it easy to bring together information from many diverse components into a single place. At a glance, you can learn about trends and relationships in your:
The QA Module contains two dashboards that give either a wider or narrower perspective on the metrics. The first is an Organization-level view where someone like a Department Head can get a great overview of how all the teams within the organization are doing on their Quality metrics. The other view is at a Team-level and it’s a great place for an Engineering Manager to really dive into the details of Quality metrics for applications and repositories owned by their individual teams.
The QA Module is available under the Quality and Testing folder within Faros Reports. It is a premium add-on in the Faros platform; please contact Faros for more information.
December 20, 2022
