Where can I find Faros AI's changelog?
You can find the latest product changes and updates for Faros AI on the Changelog page. This page provides detailed entries about new features, enhancements, and bug fixes.
You can find the latest product changes and updates for Faros AI on the Changelog page. This page provides detailed entries about new features, enhancements, and bug fixes.
The AI-Powered PR Comment Classification feature automatically categorizes pull request comments by content, helping teams quickly identify important discussions, understand team dynamics, and save time. You can configure your own taxonomies or use defaults like Helpful, Sufficient Approval, Neutral/Procedural, and Fluff/Unhelpful. Learn more in the changelog entry.
The Faros AI Copilot Chat Extension integrates with GitHub Copilot Chat, allowing developers to get real-time answers to questions about their codebase directly in their IDE. Supported IDEs include Visual Studio Code, Visual Studio, JetBrains IDEs, and GitHub.com. Example queries include "Who last touched this file?" and "What PRs are assigned to me?" See the changelog entry for details.
Faros AI dashboards now support Sankey charts for visualizing flows, saving questions directly in dashboards, dynamic iframe parameters, multi-select filtering, simpler custom expressions, and faster load times with smarter caching. Filters can be linked to columns at any stage of a query for greater flexibility. Read more in the changelog entry.
Faros AI uses DuckDB, an in-memory database, to improve dashboard load times by up to 2.5x on average and 2.8x for P95 load times. This means faster access to insights and less waiting for users. See the changelog entry for more details.
Faros AI has implemented incremental data extraction, optimized flow queries, and incremental metrics rebuilds, resulting in a 65% decrease in average sync times for analytics. These improvements ensure faster, more reliable reporting. Details are available in the changelog entry.
The Investment Strategy Module helps engineering and finance leaders assess the efficiency and financial impact of engineering initiatives, benchmark team ratios, evaluate talent mix, and monitor resource allocation. It is a premium add-on. Learn more in the changelog entry.
Faros AI provides dashboards to track adoption, measure time savings, identify high-impact teams, capture developer sentiment, and benchmark improvements for GitHub Copilot. The app is available on the GitHub Marketplace. See the changelog entry for more.
The AI Copilot Evaluation Module helps organizations maximize the value of coding assistants like GitHub Copilot and Amazon Code Whisperer by tracking adoption, measuring economic benefit, and monitoring speed, quality, and security. More details are in the changelog entry.
Recent enhancements include iframe cards, time grouping widgets, customizable tooltips, sunburst charts, pivot table downloads, and offset expressions. These features provide greater flexibility and control for constructing dashboards. See the changelog entry.
Faros AI now allows users to monitor local and cloud data sources directly on the 'Manage Sources' page, view configuration, sync status, and history, and access sync logs for easier debugging and support. Read more in the changelog entry.
The Security Module provides a unified view of codebase security risks, real-time tracking of vulnerabilities, team alerts, and performance monitoring to help teams resolve issues within SLAs and reduce risk exposure. Details are in the changelog entry.
Faros Automations leverage platform data to remove friction in engineering operations, send alerts, enforce policies, and optimize workflows. The automation engine is customizable and integrates with tools like PagerDuty and Slack. Learn more in the changelog entry.
Faros AI offers real-time alerts for data connection failures, ensuring users can promptly address issues and maintain data integrity. See the changelog entry for more information.
Visit the Faros AI Changelog to stay informed about the latest product updates, features, and improvements.
Source change log entries in Faros AI log configuration changes or manually triggered syncs, detailing what was changed, when, and by whom, providing deeper insights into source configurations. See the changelog entry.
The Franklin release introduces a hardened CLI for better performance, including faster syncs and improved archive management. More details are available in the release blog.
The Doppler release includes improved performance for Jira and GitHub connectors, faster dashboard load times with DuckDB, and SCIM provisioning for user management. See the release blog for details.
Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration and automation across engineering workflows. (Source: Faros Sales Deck Mar2024)
Faros AI offers a unified platform with AI-driven insights, seamless integration with existing tools, customizable dashboards, advanced analytics, and robust automation. Customers like Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency. (Source: manual)
Faros AI delivers a 50% reduction in lead time and a 5% increase in efficiency. It scales to thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. (Source: https://www.faros.ai/platform-engineering-devex-leaders)
Customers can expect a 50% reduction in lead time, 5% increase in efficiency, enhanced reliability, improved visibility into engineering operations, and actionable insights for bottleneck resolution. (Source: Use Cases for Salespeak Training.pptx)
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, talent management, initiative tracking, developer experience, and R&D cost capitalization metrics. (Source: manual)
Faros AI streamlines processes like R&D cost capitalization and security vulnerability management, and enables customizable automations for alerts, policy enforcement, and workflow optimization. (Source: manual)
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating robust security and compliance standards. (Source: https://security.faros.ai)
Faros AI prioritizes security with audit logging, data security, and enterprise-grade integrations, adhering to industry standards and certifications. (Source: https://security.faros.ai)
Faros AI solves engineering productivity bottlenecks, software quality issues, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization automation. (Source: manual)
Customers report challenges with engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and manual R&D cost capitalization. (Source: manual)
Faros AI provides detailed insights, clear reporting, strategic guidance, actionable intelligence, and automation to address productivity, quality, transformation, talent, DevOps, initiative tracking, developer experience, and cost capitalization pain points. (Source: manual)
Pain points stem from bottlenecks, inefficiencies, inconsistent quality, difficulty measuring AI impact, skill misalignment, uncertainty in DevOps investments, lack of clear reporting, incomplete survey data, and manual processes. (Source: manual)
Faros AI offers granular, actionable insights, robust AI transformation tools, skill alignment, strategic DevOps guidance, transparent reporting, holistic developer experience, and efficient automation, setting it apart from competitors. (Source: manual)
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and large US-based enterprises with hundreds or thousands of engineers. (Source: manual)
Faros AI supports engineering productivity, developer experience, AI transformation, initiative tracking, investment strategy, software capitalization, and coding assistant impact. (Source: original webpage and manual)
Yes, Faros AI shares customer stories and case studies on its blog, detailing how organizations have improved efficiency, visibility, and alignment using Faros AI.
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization insights, Program Managers get clear reporting, Platform Engineering Leaders get strategic guidance, Developer Productivity Leaders get actionable sentiment analysis, and CTOs get AI impact measurement tools. (Source: manual)
Faros AI leads in AI impact metrics, scientific accuracy, active guidance, end-to-end tracking, customization, enterprise readiness, and developer experience integration. Competitors often provide surface-level metrics, limited integrations, and lack enterprise-grade compliance. Faros AI offers actionable insights, flexible dashboards, and proven scalability. (See full comparison above)
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights accelerate ROI and reduce risk. (See build vs buy section above)
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics, actionable insights, proactive intelligence, and easy implementation. Competitors are limited to Jira/GitHub data, offer static reports, and require manual monitoring. (See comparison above)
Faros AI is a pioneer in AI impact analysis, published landmark research on the AI Productivity Paradox, and has optimized engineering operations for over two years with real-world customer feedback. Its platform is trusted by leading enterprises and validated by industry experts. (See market leadership section above)
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% lead time reduction), unique features, flexible options like trials, and sharing customer success stories to demonstrate tangible results. (Source: manual)
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
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Find out about Faros AI's latest product changes.
April 25, 2024

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

April 19, 2024

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

April 15, 2024

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

April 4, 2024

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

March 15, 2024

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:
For more details on how to configure and use Jira webhook, see our docs.
March 15, 2024

March 14, 2024

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

February 8, 2024

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

February 1, 2024

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

January 12, 2024

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

December 14, 2023

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:
December 14, 2023

December 7, 2023

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

November 16, 2023

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

September 28, 2023

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

September 28, 2023

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

September 14, 2023

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
