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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Faros AI supports both webhooks and APIs for data ingestion, allowing flexible integration with a wide range of engineering tools and systems. Read more.
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
As of August 2025, this changelog has moved to customer release notes. Visit our documentation to stay up to date.
March 2, 2022
Introducing Faros Community Edition (Faros CE)!
Today, we are excited to announce that we have open-sourced a community edition of Faros that is now available for free on GitHub.
Faros CE is a container-based deployment that leverages 100% open-source components. With Faros CE, you get a no-code, flexible, and extensible solution for engineering operational data that is ready in minutes. Read our blog post to find out more!
March 2, 2022
February 10, 2022
Check out our new Engineering Productivity module.
This module helps engineering teams track velocity and progress towards current goals across every stage of the SDLC. You can now better understand the unplanned work that may be competing for your team's attention. We also provide industry benchmarks to help you understand what elite/high performant teams look like.
February 10, 2022
January 4, 2022
Dashboard sharing is now live.
Easily embed Faros dashboards in Confluence pages, Notion docs and more! Sharing pre-canned reports with the rest of your organization is easier than ever before.
Read more about Dashboard Sharing in the Faros Documentation.
January 4, 2022
November 30, 2021
Custom flows are here!
This month, we released a much-awaited feature: enabling our users to define custom flows in Faros.
A Faros flow can be used to describe any organizational process, such as your task management process or your deployment process.
Faros automatically computes various metrics around these flows, such as the end-to-end cycle time for the flow and the time spent in the different custom stages. Use flows to easily identify bottlenecks in your processes.
For more information, visit Custom Flows in the Faros Documentation.
November 30, 2021
November 12, 2021
Introducing new DORA dashboards (beta) and Teams Activity Log table.
With the new DORA dashboards, you get an at-a-glance view at how your teams perform as well as the ability to drill down deeper when necessary.
For more information, please view Pre-Built Dashboards in the Faros documentation.
Teams Activity Log table
Using the new Activity Log table, you can extend your dashboards to understand how your teams are spending their time: feature work or dealing with incidents.
November 12, 2021
September 21, 2021
Introducing new UI for Data Transforms, Faros CI/CD GitHub Action, and Faros CDK for Airbyte connectors.
Data Transform UI
👷♀️ Using our new UI, you can now map custom fields of your source systems to fields of our graph entities. You can also transform entities into other entities (Tasks to Incidents, for example).
Faros CI/CD GitHub Action
🏗 Now you can instrument your CI/CD workflows on GitHub Actions simply by using our Faros CI/CD GitHub Action!
Faros Destination for Airbyte
⚡ Write data from any Airbyte source into your Faros graph using the universal Faros Destination for Airbyte. If an input stream is not supported, just use JSONata to transform it, by passing an expression through the config.
Faros CDK for Airbyte connectors
🛠 Build your own Airbyte source/destination in TypeScript/JavaScript with Faros AI CDK. For more information, visit the Airbyte site.
September 21, 2021
August 20, 2021
Introducing custom dashboards, new dashboards, and Event CLI.
Custom Dashboards
Visualize and track what matters most to your organization! Use our new UI to create your own dashboards with your own custom metrics and charts.
For more information, please look at Custom Dashboards in the Faros documentation.
New Dashboards
We now have dozens of new dashboards and hundreds of new charts providing visibility into the Throughput, Speed, Quality, and Investment areas of engineering orgs. The different dashboards provide differing lenses into the metrics, allowing users to drill down into teams, applications, or projects.
Event CLI
Now you can instrument your CI/CD pipelines using our Event CLI.
August 20, 2021
April 29, 2021
Get an overview of your lead time, deployment frequency, change failure rate, and more with the DORA metrics dashboard. Simply connect up your CI/CD and source control systems to Faros, and begin to identify bottlenecks in your engineering pipelines and processes.
For more information, please look at our pre-built dashboards in the Faros documentation.
April 29, 2021
February 12, 2021
Now, in addition to the programmatic APIs and CLI, you can manage Faros from the Faros Console. The console will be the single place from where you can manage your data sources, schema, applications, and workflows!
February 12, 2021