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 1, 2025

AI-Powered PR Comment Classification

We're excited to introduce the new PR Comment Classification feature, which automatically categorizes comments on pull requests based on their content.

This new capability helps teams:

  • Quickly identify important discussions: Filter for specific categories to focus on the most critical conversations during code reviews.
  • Understand team dynamics: Get a high-level view of the types of feedback being shared, helping to identify areas for improvement like better documentation if many questions are being asked.
  • Save time: Avoid manually reading through hundreds of comments by getting a summarized view of discussions.

Unlock Deeper Insight

By combining these categorized comments with all your other engineering and business data within Faros, you can uncover powerful insights such as:

  • Correlating comment types with PR lead time to understand bottlenecks.
  • Analyzing the frequency of "Helpful" vs. "Fluff" comments across teams or projects to gauge code review effectiveness.
  • Identifying documentation gaps by tracking the volume of "Question" comments relative to specific code areas.
  • Tracking trends in feedback types over time to measure the impact of process improvements.

You can configure your own taxonomies and labels or use the provided default classification (Helpful, Sufficient Approval, Neutral/Procedural, and Fluff/Unhelpful) to start.

For more details on setting up and viewing results, please refer to our documentation.

August 1, 2025

AI-Powered PR Comment Classification

May 8, 2025

Our GitHub Copilot Chat Extension is live!

We are excited to launch our Faros AI Copilot Chat Extension in the GitHub Marketplace!

GitHub Copilot Chat Extensions provide a way to expand the functionality of GitHub Copilot Chat by integrating external tools and services into the chat experience.

With the Faros AI Copilot Chat Extension, developers can stay focused and get the context they need, without ever leaving their editor. It answers questions in real time by pulling relevant data from an organization’s engineering systems.

Example questions developers can ask include:

  • Who last touched this file?
  • What PRs are currently assigned to me for review?
  • Who has contributed to this repo in the last month?
  • Show me the tickets about mobile app crashing

By reducing context switching, this extension keeps productivity high and interruptions low.

Faros AI Assistant can be leveraged in all IDEs that currently support GitHub Copilot Extensions, including Visual Studio Code, Visual Studio, JetBrain IDEs such as IntelliJ IDEA and PyCharm, and GitHub.com.

May 8, 2025

Our GitHub Copilot Chat Extension is live!

May 1, 2025

New dashboard functionality is here!

We're excited to announce some key improvements to our analytics platform, making it even more powerful and user-friendly!

Visualize flows with new chart types. Sankey charts let you explore relationships, hierarchies, or processes in a more interactive way—great for mapping org structures or pathways.

Save questions directly in dashboards. Keep things tidy by saving questions inside dashboards. They won’t show up in search or clutter other collections but stay connected to their dashboards.

Dynamic iframe parameters tied to filters. Iframe and embed cards can now update based on dashboard filters, giving you more contextual, interactive dashboards without manual updates.

Filter multiple values more easily. Refine your data faster with multi-select filtering for contains(), startsWith(), and more - no SQL needed.

Write simpler custom expressions. New shortcuts like if() make custom expressions easier to write, especially for Excel fans.

Dashboards load faster with smarter caching. Common query patterns are pre-cached, meaning you’ll wait less for dashboards to load.

Connect Dashboard Filters to Columns at Any Stage of the Query. You can now link filters to columns at any stage of the underlying query, including custom columns or intermediate steps. This offers greater flexibility in creating interactive dashboards.

Explore these updates in your dashboards today!

May 1, 2025

New dashboard functionality is here!

March 7, 2025

Insight Integration: Enhanced Dashboard Summaries

Enhanced dashboard summaries now allow analysts to easily integrate AI-generated summaries into dashboards and automate delivery, providing end-users with seamless access to key information. Previously, users accessed these summaries by clicking a button. Now you can integrate Lighthouse Summaries as components within dashboards or leverage our automation engine to automatically distribute summaries via Slack, email, or other preferred channels.  

This means faster insights, better decisions, and a more connected understanding of your data, all without leaving your preferred workflow.

March 7, 2025

Insight Integration: Enhanced Dashboard Summaries

December 19, 2024

Level Up Your Dashboards: Latest Enhancements

We’re excited to introduce some powerful updates to our dashboard experience! These enhancements give you greater flexibility and control, making it easier than ever to construct the perfect dashboard.

Iframe Cards: Embed iframes into your dashboards to display things like loom videos, notion docs and more. If you have a custom domain you’d like to embed, please reach out to us.

Time Grouping Widget: Easily adjust how your charts are grouped by time—switch between months, weeks, or days to analyze your data with greater precision.

Enhanced Tooltips: Tooltips are now more powerful and customizable, allowing you to include a wider range of metrics for deeper insights.

Sunburst Charts: A brand-new visualization option to explore your data in an intuitive and dynamic way.

Pivot Table Downloads: You can now download all of your pivot tables with ease.

Offset Expression: Include base calculations based on other rows – just like excel!

There is much more! Everything from improved case statements, to templates, to better editing — ask us for details on a full list of new features!

December 19, 2024

Level Up Your Dashboards: Latest Enhancements

November 27, 2024

Our new Security Module

One pain point we’ve repeatedly heard from senior engineering managers and security/infra domain leads is the lack of visibility into the codebase’s security risks. This information tends to be scattered across multiple tools, preventing a unified view of the work to be done, which often leads to lingering vulnerabilities and missed SLAs.

We are launching a new Software Security module that helps you see the full picture and identify which repositories and teams need urgent attention. These new capabilities help ensure teams meet their SLAs, address security vulnerabilities, and reduce the company’s risk exposure.

Key benefits:

  • Resolve vulnerabilities within SLAs with real-time tracking and team alerts for pending or overdue patches.
  • Identify the most vulnerable parts of the codebase with a single unified view of security findings, and measure the ROI of security activities over time
  • Monitor team-level security performance with vulnerability resolution performance. Identify which teams require more support or education on security best practices.

November 27, 2024

Our new Security Module

October 3, 2024

Completely Customizable Automation

Faros Automations leverage all your Faros data to remove friction and toil in day-to-day engineering operations. Automations can send alerts and reminders, enforce policies, and optimize workflows.

Faros is partnering with active-pieces, a best-in-class drag and drop automation engine. With Faros Automations, you can build cross-tool, time-saving automations that help improve speed, efficiency, quality, engagement, and business impact.

And, like so many parts of Faros, it's completely customizable. Faros Automations let you generate any action based on your Faros Data!

For example, you can:

  • Take action faster with alerting around any generated metrics - Escalate breaches to SLA's with a PagerDuty integration
  • Automate cognitively routine tasks - If someone hasn't contributed to a service in a month, remove their access
  • Encourage best practices - Notify people on Slack when their GitHub PRs are consistently above the desired diff size
  • Create more adaptive governance / policies based on multiple inputs - Add gate to Kubernetes that ensures PR can't be merged until team Quality metrics are improved

To start leveraging Faros Automations please reach out to our team at [email protected]

October 3, 2024

Completely Customizable Automation

September 26, 2024

New Feature: Connection Failure Notifications

Stay informed with real-time alerts! We've added notifications to keep you updated whenever your data connections experience any issues, ensuring you can address problems promptly.

September 26, 2024

New Feature: Connection Failure Notifications

August 19, 2024

Enhanced Dashboard Performance with DuckDB

We have recently introduced DuckDB, a lightning-fast, in-memory database built for handling massive datasets.

The result? Dashboards now load up to 2.5x faster on average, with a whopping 2.8x improvement in P95 load times. That means less waiting and more time for valuable insights.

Our customers are thrilled with the transformation. As one of our Business Value Engineers put it:

"I spent my first day working in the tenant post-DuckDB migration yesterday. I needed to update a chart that used to be a coin toss on whether it’d load in 30 seconds or timeout. Now? It loads in under a second. Mind. Blown."

August 19, 2024

Enhanced Dashboard Performance with DuckDB

August 15, 2024

Improved Data Refresh for Faster Analytics

Improved Data Refresh for Faster Analytics

As we scale at Faros, we remain committed to improving the speed and reliability of our dashboards and metrics. Wit this in mind, we've focussed on the delivering the following features for our customers:

  • Incremental data extraction: Efficient data replication into reports database.
  • Optimizing flow queries: Streamlined data processing for faster transfer.
  • Incremental metrics rebuilds: Ensures updates only include new or changed data, minimizing processing time.

These improvements have resulted in a 65% decrease in average sync times!

August 15, 2024

Improved Data Refresh for Faster Analytics

July 31, 2024

Investment Strategy Module

What’s the CFO’s biggest complaint about Engineering? That Finance simply does not understand how engineering’s output ties back to corporate strategy and objectives.

We’re solving that problem with a new Investment Strategy intelligence module that creates a joint understanding of the effectiveness and impact of software engineering investments.

With this new set of out-of-the-box dashboards for engineering and CFOs, as leaders you can:

  • Assess the efficiency and financial impact of engineering initiatives
  • Benchmark engineering overhead and team ratios against industry standards
  • Evaluate the effectiveness of your talent mix and offshoring strategy
  • Monitor the allocation of resources and time spent on critical company initiatives

The Investment Strategy Module is a premium add-on in the Faros platform; please contact Faros for more information.

July 31, 2024

Investment Strategy Module

June 13, 2024

GitHub Copilot Evaluation - now on the GitHub Marketplace!

We have released an App on the GitHub Marketplace to help engineering leaders evaluate the impact of GitHub Copilot on productivity and outcomes.

This App provides dashboards that help your organization confidently transition from pilots and evaluations to large-scale adoption.

We help:

  • Track adoption and understand usage over time
  • Measure the time savings and economic benefit
  • Identify which teams benefit the most and how saved time is being reinvested
  • Capture developer sentiment with out-of-the-box developer surveys
  • Benchmark speed, quality, and security improvements against peers
  • Observe before and after metrics, and compare the performance of Copilot-enabled developers vs. their peers

Benefits:

This set of Faros AI dashboards measures the impact of GitHub Copilot on software engineering and helps you get the rollout right.

  • Improve rollout, training, and mentoring by understanding which teams and roles are adopting the fastest
  • Easily present metrics and findings to executive leadership, helping to set the right expectations
  • See where constraints and bottlenecks are emerging and mitigate unintended consequences quickly
  • Identify unused licenses to maximize value

June 13, 2024

GitHub Copilot Evaluation - now on the GitHub Marketplace!

May 7, 2024

AI Copilot Evaluation Module

The AI Copilot Evaluation Module helps you maximize the value of coding assistants such as Github Copilot, Amazon Code Whisperer and others.

This module provides a view into adoption, developer sentiment, and downstream impact to help your organization:

  • Track adoption and use over time
  • Measure the time savings and economic benefit
  • Identify which teams benefit the most and how saved time is being reinvested
  • Monitor speed, quality, and security to mitigate unintended consequences and maximize value

May 7, 2024

AI Copilot Evaluation Module

May 2, 2024

Dashboards More Organized, Shareable, and Faster

Faros has upgraded its charting tool to include the dashboard tabs, downloadable charts and dashboards, improved layout, and more!

  • Keep dashboards organized with tabs. Tabbed navigation helps consume the dashboard in smaller logical bites while persisting filters from tab to tab.
  • Sharing is easier with downloadable dashboards. Skip the screenshots! One-click PDF export is now available for dashboards.
  • Improved dashboard layout with an expanded grid. Get the polish and symmetry you like with a dashboard grid that’s grown from 18 to 24 squares.
  • Auto-hide cards with no data. No data equals no clutter with this new feature. Keep things tidy and easier to consume by setting cards to auto-hide if they return no results.
  • Load dashboards faster. You control when to apply filters instead of auto-applying them upon each change.
  • Auto-wire up dashboard field filters. Filters are automatically connected to new cards you add to a dashboard.

May 2, 2024

Dashboards More Organized, Shareable, and Faster

April 29, 2024

Ingesting data with local sources just got easier

We're excited to enhance your experience with a significant update to our web application. While local sources have always been a part of your data toolkit, you can now monitor these sources directly on the 'Manage Sources' page of our platform. This update centralizes the visibility of all data importation methods, enabling you to effortlessly oversee and debug issues across both local and cloud-based sources.

With the change, you can now view the configuration, see sync status and explore the sync history in the Sources page for every connector, whether local or cloud-based. Sync logs are also available in the Faros web application, making it even easier to debug issues with your team and with the help of Faros Support.

April 29, 2024

Ingesting data with local sources just got easier

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