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.

August 24, 2023

Webhooks for Controlled Integration

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

August 24, 2023

Webhooks for Controlled Integration

August 17, 2023

New dashboards for visibility into your sprint velocity and accuracy

Faros now provides out-of-the-box sprint dashboards! These dashboards help agile teams better understand their sprint health. You can check out how accurate your sprint planning is, how much work is getting pushed to the next sprint, and see detailed breakdowns like the one below.

Sprint Details Dashboard

To try out these new dashboards on your data, navigate to the Beta folder in Faros Reports and check out the Sprint Planning Accuracy and Sprint Accuracy dashboards.

August 17, 2023

New dashboards for visibility into your sprint velocity and accuracy

June 1, 2023

New backend infrastructure powering Faros AI

Recently we have been investing our resources in improving our backend architecture. As we continue to grow, we want to ensure that we are building on a strong foundation - for us this is the Faros graph database. We have replaced our home-grown graph database with Hasura, an industry-standard open-source GraphQL engine. The main benefits of this migration is performance improvements for our customers, easier maintainability for the Faros team, and a standard, more powerful query interface for customers directly accessing the database API.

June 1, 2023

New backend infrastructure powering Faros AI

May 23, 2023

Charts and Dashboards Continue to Improve!

Faros has upgraded its charting tool to include the highly anticipated "now" operator, improved customization, and more!

Highlights include:

  • Cards support a now() operator to reference the current date-time
  • Dashboard filter dropdowns can be customized, giving you more control over what is displayed
  • New link cards in dashboards let you easily link to other dashboards
  • Enhanced data download allows you to download data for a single question or export a question as a PDF

And even more visualization enhancements and refinements:

  • Smarter tooltips offer increased utility in multi-series charts with totals and percentages, time series including days of the week, and more
  • Pivot tables are now optimized for snappier performance and allow you to export pivoted data. We also made the columns resizable, and you can now disable/enable row and column totals
  • Visualization Charts now support customization of series encompassing over 20 groups
  • Chart settings now recognize custom column names
  • Introduced a new visualization type, "Detail," which displays a row as an easy-to-read card (note: this feature may have some issues)

May 23, 2023

Charts and Dashboards Continue to Improve!

April 27, 2023

Introducing Configurable Team Pages

We are excited to announce that new configurable Faros Team pages are available for all customers.

Faros Team Pages provide you with a custom landing page for all of your teams. They serve as a one-stop shop to get the most relevant information for a given team, specifically tailored to what is important to you. In Faros Team Pages, team information is displayed in widgets; you have complete control over what is shown and how it is laid out. Widgets integrate data from your org, your dashboards, and third party systems.

Documentation is available here.

April 27, 2023

Introducing Configurable Team Pages

April 19, 2023

Organize your data in any way with Faros Paths

You can now arbitrarily organize your data using Faros Paths. Faros Paths work like directory paths in a file system. By associating any of the supported entities with Faros Paths, you can add a hierarchy structure to data within your Faros dashboards. This helps you visualize your data at varying depths. Using filters and click-through behavior, you can achieve the same drill-down experience that you find in many other curated Faros dashboards.

April 19, 2023

Organize your data in any way with Faros Paths

April 10, 2023

New Accessible Dashboard Colors

Last week we introduced new dashboard colors to Faros. These vibrant colors are nice to look at, more legible and they are also accessible! Now everyone will be able to see differentiated data in Faros charts.

Don't see the new colors in your charts? If you pre-defined colors in some of your existing charts you'll notice these colors have not been updated. You can keep your existing charts the same or edit their visualization settings to use some of the new colors.

Please note - the default colors are guaranteed accessible for only seven color groupings. If you have charts with more than seven breakouts some of the color combinations may not be accessible.

April 10, 2023

New Accessible Dashboard Colors

March 10, 2023

New Org Overview in Team's Members widget

We've updated your Team Membership widget to now support sub-team views and org counts. This allows you to better understand your org composition at a glance. You can now see a breakdown of

  • All the members who roll up to this org
  • Who is a direct member of this team
  • What teams directly roll up to this org and how large each of them is

Find this improved widget on all of your Team pages. If you wish to disable the sub-teams view, click the edit icon in the upper right-hand corner and define the view to hide sub-teams.

March 10, 2023

New Org Overview in Team's Members widget

March 8, 2023

Power of the Platform: Export your Faros Data to your Favorite System

Custom metrics are the newest way that the Faros platform can be customized to perfectly fit your organization's needs. You can now take a specific metric you compute in any of your systems and import it into Faros over the API! While it's easiest to leverage the built-in Faros metrics, custom metrics can fill in any remaining gaps so you have all the data you need.

If you're interested in writing custom metrics to Faros, please reach our to set up a session with us.

March 8, 2023

Power of the Platform: Export your Faros Data to your Favorite System

March 8, 2023

Introducing our Out of the Box Retro Dashboard

We've released a new out-of-the-box dashboard to help guide conversation in your team's next retrospective meeting. With this dashboard you can easily see what your team has been working on and how you are doing with regards to task and PR hygiene. As with all of our other dashboards, feel free to clone this dashboard and make it your own!

You can find this dashboard under the Beta folder of your Faros Reports collection. Let us know any feedback you have 🙏

March 8, 2023

Introducing our Out of the Box Retro Dashboard

March 7, 2023

Improved Task Cycle Time Definition

Our new Task Cycle Time definition now only takes into account tickets that were marked as In Progress for some duration. Task Cycle Time is now the amount of time it takes for actively worked on tickets to go from
when they were first marked as in progress to when they were last closed.

Previously, we used the same general definition:
the time from when the task first went to in progress to the time the task was finally done. But, if a task never went into progress, we changed the start time to the time from when the task was created.

The problem with this was that if you just had a task sitting around in the backlog for 5 years, and then closed out as "Abandoned", it would look like it had a task cycle time of 5 years. To remedy this, we now only consider tasks that ever went into an "In Progress" state.

To learn more about task cycle time and different definitions of it, check out our docs.

March 7, 2023

Improved Task Cycle Time Definition

February 21, 2023

Chart and Dashboards Enhancements

Faros has upgraded its charting tool to now include search, new datetime functions, improved charts, and more!

Highlights include

  • Revamped row charts, more chart colors, and other improvements
  • New datetime functions to extract component like hour, day, etc, from datetime fields, and other datetime functions such as datetimeDiff and convertTimezone
  • More intuitive filtering UI that simplifies multiple filter selection
  • Search bar, to easily find charts and dashboards
  • Deep copying of dashboards
  • Plus additional bug fixes and performance improvements!

February 21, 2023

Chart and Dashboards Enhancements

December 20, 2022

Get the Full Picture on Software Quality with the New QA Module

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:

  • Code Quality from sources like SonarQube or events
  • Testing and Deployment from your CI/CD pipeline
  • Software Bugs from your ticketing system
  • Incidents from a source such as PagerDuty
The Organization-level QA Dashboard shows Quality trends across teams.

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 Team-level Dashboard goes into much more detail on a variety of quality metrics.

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

Get the Full Picture on Software Quality with the New QA Module

November 18, 2022

Intelligent Joins

We are introducing a new feature to make it much easier to create charts and reports when our data is spread across multiple tables. Data is now auto-joined for common use cases! You can now skip creating most joins explicitly and go directly from selecting your data to choosing fields on adjacent tables.

Notice that in the example above, you can now filter Pull Request Review based on information from other tables like the Repository or Author and Reviewer directly without declaring a join.

This feature applies everywhere you interact with fields in the Question Editor; Filter, Summarize, Custom Columns, and Sorting. In addition to the fields on the table you are working with, you will now be able to expand related tables and select fields from those as well. The join will automatically be applied on the correct join ID when you run your query.

This feature only looks one level deep at tables directly related to your main table. If you need to do multiple levels of joins, (e.g. TableA join TableB join TableC) you would still need to declare those joins as before. BUT, those declarations are even easier now, too, because the table ID’s will now be automatically populated once you select the table you are joining to.

Once you select the “Pull Request” table to join with, ID’s are automatically populated.

There are still some situations where it does not make sense to have every join pre-defined, so don’t worry if you don’t see the particular relationship you’re interested in; everything will still work like it did before by manually specifying the join tables and ID’s.

November 18, 2022

Intelligent Joins

November 17, 2022

Custom Security Policies

In order to provide our customers with custom security policies that meet their needs we added the ability for tenant owners to customize the security policies for their tenant account.

An owner can now modify settings such as:

  • MFA enforcement
  • User lockout after X password attempts
  • Password history
  • Idle session timeout
  • Force re-login on session expiry
  • Maximum concurrent sessions
  • Login restrictions based on IP addresses

November 17, 2022

Custom Security Policies

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