Frequently Asked Questions

Product Updates & Changelog

What is the purpose of the Faros AI Changelog page?

The Faros AI Changelog page provides a comprehensive overview of the latest product updates, feature enhancements, and improvements to the Faros AI platform. It helps users and potential customers stay informed about new capabilities, user experience upgrades, and technical enhancements that make Faros AI more powerful, efficient, and user-friendly. For a full list of recent changes and detailed entries, visit our changelog page.

What is the AI-Powered PR Comment Classification feature?

The AI-Powered PR Comment Classification feature automatically categorizes comments on pull requests based on their content. This helps teams quickly identify important discussions, understand team dynamics, and save time by summarizing hundreds of comments. It enables deeper insights by correlating comment types with PR lead time, analyzing feedback trends, and identifying documentation gaps. You can configure your own taxonomies or use default classifications like Helpful, Sufficient Approval, Neutral/Procedural, and Fluff/Unhelpful. Read more.

How does the Faros AI Copilot Chat Extension improve developer productivity?

The Faros AI Copilot Chat Extension, available in the GitHub Marketplace, allows developers to access real-time answers to engineering questions directly within their editor. It reduces context switching by integrating with GitHub Copilot Chat and supports IDEs like Visual Studio Code, Visual Studio, and JetBrains IDEs. Example questions include "Who last touched this file?" and "What PRs are assigned to me?" This keeps productivity high and interruptions low. Learn more.

What new dashboard features have been introduced recently?

Recent dashboard enhancements include new chart types like Sankey and Sunburst charts, multi-select filtering, dynamic iframe parameters, improved caching for faster load times, and the ability to save questions directly in dashboards. These features make dashboards more interactive, flexible, and user-friendly. Explore the updates.

How has dashboard performance improved with DuckDB?

With the introduction of DuckDB, dashboards now load up to 2.5x faster on average, with a 2.8x improvement in P95 load times. This means less waiting and more time for valuable insights. Customers have reported dramatic improvements in dashboard responsiveness. Read more.

What is the Faros AI Security Module and how does it help?

The Security Module provides a unified view of codebase security risks, helping teams resolve vulnerabilities within SLAs, identify the most vulnerable parts of the codebase, and monitor team-level security performance. It addresses the pain point of scattered security information and helps reduce company risk exposure. Learn more.

What is the Investment Strategy Module in Faros AI?

The Investment Strategy Module is a premium add-on that provides dashboards for engineering and finance leaders to assess the efficiency and financial impact of engineering initiatives. It helps benchmark overhead, evaluate talent mix, and monitor resource allocation, creating a joint understanding between engineering and finance. Read more.

How does Faros AI help with GitHub Copilot evaluation and adoption?

Faros AI provides an app on the GitHub Marketplace to help engineering leaders evaluate the impact of GitHub Copilot. It tracks adoption, measures time savings, benchmarks improvements, and identifies unused licenses. The dashboards help organizations transition from pilots to large-scale adoption and present findings to executive leadership. Learn more.

What is the AI Copilot Evaluation Module?

The AI Copilot Evaluation Module helps organizations maximize the value of coding assistants like GitHub Copilot and Amazon CodeWhisperer. It tracks adoption, developer sentiment, and downstream impact, measuring time savings, economic benefit, and team-level outcomes. Read more.

How does Faros AI support customizable automation?

Faros Automations leverage your Faros data to remove friction and toil in engineering operations. You can build cross-tool automations for alerts, policy enforcement, and workflow optimization using a drag-and-drop engine. Automations are fully customizable and can trigger actions based on any Faros metric. Learn more.

What improvements have been made to data refresh and analytics speed?

Faros AI has implemented incremental data extraction, optimized flow queries, and incremental metrics rebuilds, resulting in a 65% decrease in average sync times. These improvements ensure faster, more reliable analytics for users. Read more.

How does Faros AI handle connection failure notifications?

Faros AI provides real-time alerts for data connection failures, ensuring users are promptly informed and can address issues quickly to maintain data integrity and platform reliability. Learn more.

How does Faros AI improve visibility for local and hybrid data sources?

Faros AI now allows users to monitor local and cloud-based data sources directly from the 'Manage Sources' page. This centralizes visibility, making it easier to oversee, debug, and maintain all data importation methods. Read more.

What enhancements have been made to dashboard organization and sharing?

Faros AI dashboards now support tabbed navigation, one-click PDF export, improved grid layouts, auto-hiding of empty cards, and auto-wiring of filters. These features make dashboards more organized, shareable, and faster to use. Learn more.

How does Faros AI integrate AI-generated summaries into dashboards?

Faros AI allows analysts to integrate AI-generated summaries (Lighthouse Summaries) directly into dashboards and automate their delivery via Slack, email, or other channels. This provides end-users with seamless access to key information and faster insights. Read more.

Features & Capabilities

What are the key features of Faros AI?

Faros AI offers cross-org visibility, tailored analytics, AI-driven insights, workflow automation, seamless integrations, enterprise-grade security, and customizable dashboards. Key features include unified data models, process analytics, benchmarks, AI summaries, root cause analysis, and expert chatbot assistance. Learn more.

What integrations does Faros AI support?

Faros AI integrates 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. It supports any-source compatibility for both commercial and custom-built tools. See the full list.

How does Faros AI help improve engineering productivity?

Faros AI delivers up to 10x higher PR velocity, reduces bottlenecks, and enables faster, more predictable software delivery. It provides actionable insights, automates workflows, and integrates with existing tools to drive measurable improvements in engineering operations. Learn more.

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

Faros AI provides dashboards and analytics to measure adoption, usage, time savings, and economic benefit of AI tools like GitHub Copilot. It tracks before-and-after metrics, developer sentiment, and benchmarks improvements against peers. Watch the demo video.

What technical documentation is available for Faros AI?

Faros AI offers resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, technical guides for code token limits, and blog posts on integration options. These resources help users understand and implement Faros AI effectively. Explore documentation.

Use Cases & Business Impact

Who can benefit from using Faros AI?

Faros AI is designed for engineering leaders, platform engineering owners, developer productivity and experience owners, TPMs, data analysts, architects, and people leaders in large enterprises. It is ideal for organizations seeking to improve engineering productivity, software quality, and AI adoption at scale. Learn more.

What business impact can customers expect from Faros AI?

Customers can expect up to 10x higher PR velocity, 40% fewer failed outcomes, value in just 1 day during POC, optimized ROI from AI tools, improved strategic decision-making, scalable growth, and reduced operational costs. See details.

What pain points does Faros AI address for engineering organizations?

Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. It provides tailored solutions for each persona within an organization. Learn more.

How does Faros AI tailor solutions for different roles?

Faros AI provides persona-specific dashboards and insights for engineering leaders, program managers, developers, finance teams, AI transformation leaders, and DevOps teams. Each role receives the precise data and recommendations needed to achieve their goals. Learn more.

What KPIs and metrics does Faros AI provide?

Faros AI provides metrics such as Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Code Coverage, Test Coverage, Change Failure Rate, MTTR, AI-generated code %, deployment frequency, initiative cost, developer satisfaction, and finance-ready R&D reports. See the full list.

Are there case studies or customer success stories for Faros AI?

Yes, Faros AI features case studies where customers improved decision-making, gained visibility into team health, aligned metrics across roles, and simplified agile tracking. Explore detailed stories at our customer stories blog gallery.

Security & Compliance

What security and compliance certifications does Faros AI have?

Faros AI is SOC 2 certified, ISO 27001 compliant, GDPR compliant, and holds CSA STAR certification. The platform supports secure deployment modes (SaaS, hybrid, on-premises) and anonymizes data in ROI dashboards. See our trust center.

How does Faros AI ensure data privacy and security?

Faros AI adheres to industry-leading standards for data security, availability, processing integrity, confidentiality, and privacy. It complies with US, EU, and other export laws, and offers flexible deployment options to meet enterprise security requirements. Learn more.

Competition & Differentiation

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

Faros AI stands out with its mature AI impact analysis, landmark research, and benchmarking advantage. Unlike competitors, Faros AI uses causal analysis for accurate ROI, provides active adoption support, offers end-to-end tracking (velocity, quality, security, satisfaction), and supports deep customization. It is enterprise-ready with compliance certifications and marketplace availability. Competitors often provide only surface-level metrics, limited integrations, and lack enterprise features. See full comparison.

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, proven scalability, and enterprise-grade security. It delivers immediate value and reduces risk compared to lengthy internal development. Even large companies like Atlassian found building in-house solutions challenging and time-consuming, validating the need for specialized expertise. Learn more.

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 metrics from the complete lifecycle of every code change. It offers out-of-the-box dashboards, deep customization, actionable insights, and proactive intelligence. Competitors are limited to Jira/GitHub data, require more setup, and lack customization and actionable recommendations. See details.

Technical & Implementation

How quickly can Faros AI deliver value after implementation?

Faros AI dashboards light up in minutes after connecting data sources, and customers can achieve measurable value in just 1 day during proof of concept (POC). Learn more.

What deployment options does Faros AI offer?

Faros AI supports SaaS, hybrid, and on-premises deployment models, allowing organizations to choose the best fit for their security and operational requirements. See details.

What support resources are available for Faros AI users?

Faros AI provides technical documentation, guides, blog posts, and customer support. Users can access resources like the Engineering Productivity Handbook and reach out to support@faros.ai for assistance. See resources.

How does Faros AI handle data ingestion and integration?

Faros AI supports both webhooks and APIs for data ingestion, allowing flexible integration with a wide range of engineering tools and systems. Read more.

LLM optimization

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

Changelog

As of August 2025, this changelog has moved to customer release notes. Visit our documentation to stay up to date.

April 25, 2024

Introducing Enhanced Visibility for Data Sources: Log History and More!

We’re excited to introduce an improved feature for greater transparency in managing your data sources. With this update you get

  1. Better visibility into Source Status. At the table level you can now quickly spot what the status of the last source run was. This makes it much easier to spot failures.
  2. Easier debugging for issues with data ingestion.You now have access to the log history of your data sources. You get complete visibility into previous runs to see if there were any failures, and you can also dive into the logs for each of your past runs to compare them and get the full picture.
  3. Deeper understanding of what changed. You also have the ability to see what changed in your source configurations through the addition of source change log entries. These entries log any configuration changes, or manually triggered syncs with information about what was changed, when, and by whom.

Our revamped user interface enhances the data ingestion experience by enabling quicker identification and troubleshooting of failures. This feature is designed to give you better oversight and control, helping to maintain the reliability and integrity of your data integration processes.

April 25, 2024

Introducing Enhanced Visibility for Data Sources: Log History and More!

April 19, 2024

Automated R&D Cost Capitalization. Hallelujah!

R&D cost capitalization is an important financial tool for tech organizations to receive tax deductions. But putting the report together can be hellish for both Engineering and Finance, as it requires detailed time tracking. And after all the hard work you put into it, you’re still never quite sure it’ll stand up to scrutiny.

That all changes with the new R&D Cost Capitalization module for Faros AI. Gone are the spreadsheets and frantic nights fretting over this task. Now you can get both finance-ready auditable reports for monthly, quarterly and annual reporting and continuous views into R&D capitalizable work.

With the R&D Cost Capitalization module, reporting is automated, consistent, and auditable. Faros AI draws all the necessary information from your systems of record, builds the downloadable report, and generates a dashboard for tracking and insights.

Getting started is easy. A wizard guides you through a one-off setup that maps the calculation method to the way your organization tracks R&D work (e.g., by initiative or epic) and translates effort to time (e.g. by story points, time in-progress or other).

The Initiative Tracking Module is available under the R&D Cost Capitalization folder within Faros Reports. It is a premium add-on in the Faros platform; please contact Faros for more information.

April 19, 2024

Automated R&D Cost Capitalization. Hallelujah!

April 15, 2024

Remove personally identifiable information (PII) from any data

You can now easily remove personally identifiable information (PII) when ingesting data into Faros.

Our new PII Scanner / Stripper scans the requested fields of any data source and redacts them out or replaces them with values of your choice. Built in support is provided for common PII such as names, phone numbers, addresses, credit card numbers, social security numbers and more. You can also extend it to custom redaction patterns.

The PII Scanner / Stripper is available as part of our Enterprise Bundle. Contact us for more details.

April 15, 2024

Remove personally identifiable information (PII) from any data

April 4, 2024

Adding metrics to scorecard just got even easier!

Faros scorecards allow you to see how you're performing on key metrics across your entire organization. Now, with query-defined metrics they can be even more customized to your needs.

With query-defined metrics, you can create a custom chart in Faros that let's you define any metric you want to track as well as what success looks like for each team. This custom metric can then be easily added into your scorecard, letting you understand how all teams are stacking up.

For example, you could create a chart that computes how satisfied your employees are based on survey data. You're also able to control which scores are considered high, medium and low. Once you've created the chart simply add it to your scorecard and you'll start seeing the full picture of employee satisfaction at your company.

April 4, 2024

Adding metrics to scorecard just got even easier!

March 15, 2024

Jira Webhooks Support

Faros customers can now use webhooks to integrate their Jira data into Faros. With webhooks, organizations have much more control over the what, when, and how of their Jira data ingestion.

With webhooks:

  • Data is pushed into Faros in real-time
  • Users have more fine-grained control of what data is sent to Faros
  • There is less load on the source system
  • There is less overhead to manage

For more details on how to configure and use Jira webhook, see our docs.

March 15, 2024

Jira Webhooks Support

March 14, 2024

Discovering Data with Guided Exploration

Guided Exploration is designed to make your data analysis experience even easier, especially if you're new to Faros. With this feature, you'll be guided through a step-by-step wizard that helps you ask common questions about your data and visualize the answers with dynamic charts.

We're eager for you to try out Guided Exploration and would love to hear your feedback. Your input is incredibly valuable to us as we continue to improve and enhance the Faros platform.

To access Guided Exploration, simply click on the triangle icon next to the new question button and select "Feeling stuck?"

March 14, 2024

Discovering Data with Guided Exploration

February 8, 2024

Initiative Tracking Is Here

Top of mind for every engineering leader and technical program manager are questions like:

  • What are people currently working on?
  • How are strategic cross-org initiatives progressing?
  • What’s going well?
  • Where are the issues?

The Initiative Tracking module answers those questions and then some. It’s where you come to make sure engineering is appropriately staffed and working on the right things and your most high-priority projects. You can keep critical work on track and understand what is running behind, and you can utilize this visibility to make better decisions with your partners in Product and Finance.

Visibility into all your initiatives, sliced and diced the way you want to look at it, will help you make faster and sounder decisions based on progress to goal, estimated remaining time, completed and outstanding work, and who’s working on what.

The Initiative Tracking Module is available under the Initiative Tracking folder within Faros Reports. It is a premium add-on in the Faros platform; please contact Faros for more information.

February 8, 2024

Initiative Tracking Is Here

February 1, 2024

Introducing the Developer Experience Module

The Developer Experience module centralizes developer satisfaction survey data in one place and intersects the sentiment data from employee responses with telemetry-based data from your engineering operations. This novel blended visibility into the complete developer experience provides actionable insights that allow you to take corrective measures faster and observe their impact on engagement, retention, and operational excellence over time.

The DevEx Module is available under the Developer Experience folder within Faros Reports. It is a premium add-on in the Faros platform; please contact Faros for more information.

February 1, 2024

Introducing the Developer Experience Module

January 12, 2024

Data Adoption Metrics

Ever found yourself curious about who's really diving into Faros on your team? Wondering if that meticulously crafted dashboard is getting the attention it deserves? Or who is looking at their TeamCentral page?

Introducing Faros Usage Metrics, Now at Your Fingertips!

With our latest update, we've brought the power of Faros metrics directly into the heart of Faros itself.

📈 Calculate WAU & MAU with Ease: Get real insights into the engagement of your internal Faros users. No more guesswork—know exactly who's on board weekly and monthly.

Track Dashboard Usage Over Time: Watch your dashboard adoption evolve! Dive into the analytics of your dashboards to see who is viewing it and how frequently.

🌟 Discover Popular Dashboards and Pages: Ever wondered which dashboards and pages are stealing the spotlight? Now, it's crystal clear. Pinpoint the favorites and tailor your data strategy accordingly.

👥 Track Faros Adoption by Team: Understand how different teams are embracing Faros and tailor your support and resources accordingly.

🎨 Craft Your Own Adoption Charts: Personalize your adoption charts to align with your unique needs and showcase insights that matter most to you.

Dive into Faros Metrics today by checking out the new dashboard, found in your Faros Reports collection!

January 12, 2024

Data Adoption Metrics

December 14, 2023

Enhanced Navigation and Role Customization

We're thrilled to introduce a significant upgrade to our in-app navigation, designed to provide users with a more intuitive and efficient experience.

Key Highlights:

  1. Customizable Roles: Take charge of your application's access control like never before. Define the permissions and access levels for each user role, ensuring that individuals see and interact only with what matters most to their responsibilities.
  2. Precision Navigation: With customizable roles, not only can you control what features users can access, but you can also curate their navigation menu. Streamline the user interface by displaying only the relevant options, reducing clutter, and improving overall user efficiency.

December 14, 2023

Enhanced Navigation and Role Customization

December 7, 2023

Introducing Lighthouse AI: the AI power tool to help you better understand charts and build queries faster

Lighthouse AI is a new Faros tool that leverages large language models to make all of your existing charts easier to use and also helps you create new ones.

Chart Explainer

Lighthouse AI's Chart Explainer is very well named; it explains every chart in natural language, whether it’s been custom-built or came out of the box. Simply click the Lighthouse icon for a clear explanation that helps you understand what the chart is measuring. These explanations allow you to understand what your data is telling you and act more confidently.

Query Helper

For those who are building their own charts, one of the challenges is getting started. Now you can use a GenAI prompt to ask Faros a business question, and Faros will suggest charts and tables that hold the answer, provide key information about the data, and supply tips and tricks on how to build your query.

December 7, 2023

Introducing Lighthouse AI: the AI power tool to help you better understand charts and build queries faster

November 16, 2023

Scorecard Heat Maps

Faros AI is thrilled to announce Scorecards, a built-in feature that enables engineering organizations to define best practices for their organization and measure its adoption across all their teams. Scorecards' powerful visualization gives companies both a birds-eye view of the entire organization's team health as well as details on each individual team, all in one interactive view. Measurements for the scorecard can be custom-created and incorporate data from productivity, quality, security, cost, and more.

For more details on corecards, see our docs.

November 16, 2023

Scorecard Heat Maps

September 28, 2023

Transform Release to Deployment Data

The new Release to Deployment Transform feature offers another way to get deployment data into Faros without changing your processes. You can now transform your release data into deployment data directly in Faros. This is great for any team that uses releases to represent code deployments.

With the new transform UI you can specify which subset of your releases represent deployments, what application is getting deployed and which environment you're deploying to.

This is yet another way to get your deployment data into Faros. Alternative methods include instrumenting your pipelines or connecting to a source system like Buildkite.

Reach out to [email protected] to figure out which method is right for your teams.

September 28, 2023

Transform Release to Deployment Data

September 28, 2023

Improved User Experience and Time Metrics Calculation

We have made improvements to time durations calculation and associated visualizations to provide more accurate insights. Previously, time durations were computed as the (maxDate - minDate) for data within a specified range, which could lead to incomplete results when data was sparse or events clustered in the middle of the range. The entire time range of data being now leveraged, you may see a decrease in the value of certain metrics, but they will be a more accurate reflection of performance.This change applies to calculations for Weekly Deployment Frequency in the DevOps Management module and for Monthly Pull Request Merge Rate in the Engineering Productivity Module. Gauge charts in module dashboards, and scorecard calculations have been adjusted accordingly.

We have also extended the default duration filter for the DevOps and Engineering Productivity modules from 30 days to 90 days to access a longer history of data for better trend analysis and performance optimization. This change applies to dashboards and related metrics in the Scorecard and team pages. That default duration can of course still be customized based on your specific needs.

Finally, we have updated folder names in the “Faros Reports” collection to better align with their respective modules: The "Quality and Testing" folder is now named "Software Quality", and "Value Stream Analysis" has been renamed "DevOps Management”.

These updates aim to enhance user experience, provide more accurate data insights, and offer greater flexibility in data analysis.

September 28, 2023

Improved User Experience and Time Metrics Calculation

September 14, 2023

Company Favorites can now pre-filter to your personal team!

When a Faros Admin is setting a dashboard as a company favorite, they can choose to use a dynamic filter for the favorite. This means that anyone using the favorite link will see the dashboard automatically filtered to their own team.

September 14, 2023

Company Favorites can now pre-filter to your personal team!

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