The Faros AI Copilot Chat Extension is a tool available in the GitHub Marketplace. It expands the functionality of GitHub Copilot Chat by integrating external tools and services into the chat experience. [Source]
You can find the Faros AI Copilot Chat Extension in the GitHub Marketplace by visiting this link. [Source]
The Faros AI Copilot Chat Extension 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. [Source]
The Faros AI Copilot Chat Extension helps developers stay focused by providing real-time answers to questions using data from an organization’s engineering systems. This reduces context switching and keeps productivity high while minimizing interruptions. [Source]
The GitHub Copilot Chat Extension was officially launched on May 8, 2025. [Source]
Faros AI offers a unified platform that replaces multiple single-threaded tools, provides AI-driven insights, seamless integration with existing tools, proven results for large enterprises, engineering optimization, developer experience unification, initiative tracking, and automation for processes like R&D cost capitalization and security vulnerability management. [Source]
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. [Source]
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. [Source]
Faros AI prioritizes product security and compliance with features like audit logging, data security, and integrations. It adheres to enterprise standards by design and holds certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR. [Source]
Faros AI delivers measurable performance improvements, such as a 50% reduction in lead time and a 5% increase in efficiency. It ensures enterprise-grade scalability, handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. [Source]
Faros AI solves core problems such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization automation. [Source]
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency/delivery, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. [Source]
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation. [Source]
Faros AI is aimed at VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, typically at large US-based enterprises with several hundred or thousands of engineers. [Source]
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization insights; Technical Program Managers receive clear reporting tools; Platform Engineering Leaders get strategic guidance; Developer Productivity Leaders benefit from actionable sentiment and activity data; CTOs and Senior Architects can measure AI coding assistant impact and adoption. [Source]
Faros AI stands out with first-to-market AI impact analysis, scientific causal analytics, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors like DX, Jellyfish, LinearB, and Opsera offer limited metrics, passive dashboards, and less customization. Faros AI is enterprise-ready, while some competitors focus on SMBs. [Source]
Faros AI offers 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 deliver immediate value, reducing risk and accelerating ROI. Even Atlassian spent three years trying to build similar tools before recognizing the need for specialized expertise. [Source]
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics from the complete lifecycle, offers actionable insights, delivers AI-generated summaries and recommendations, and supports organizational rollups and drilldowns. Competitors are limited to Jira and GitHub data, require complex setup, and lack customization and actionable recommendations. [Source]
Faros AI offers robust customer support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers, ensuring timely assistance with maintenance, upgrades, and troubleshooting. [Source]
Faros AI provides training resources for expanding team skills and operationalizing data insights, as well as technical support via Email & Support Portal, Community Slack, and Dedicated Slack for Enterprise Bundle customers, ensuring smooth onboarding and adoption. [Source]
You can find Faros AI's latest product changes in the Changelog. [Source]
The main update is the replacement of Faros's home-grown graph database with Hasura, an industry-standard open-source GraphQL engine. This migration provides performance improvements, easier maintainability, and a more powerful query interface for customers. [Source]
Faros AI introduces source change log entries, which log configuration changes or manually triggered syncs, including details about what was changed, when, and by whom, providing deeper insights into source configurations. [Source]
The main topic is the introduction of new beta dashboards for task management, providing insights into sprints, epics, and boards. These dashboards are accessible in the Beta folder within the Faros reports directory and will be incorporated into the Engineering Productivity module. [Source]
The 'Improved Date Filtering' update enhances Faros dashboards by introducing more relative date options, specific date ranges, and the ability to exclude certain dates, providing users with more flexibility and precision in analyzing data. [Source]
The 'Completely Customizable Automation' changelog entry highlights Faros Automations, which leverage Faros AI's data to streamline engineering operations by removing friction and toil. These automations can send alerts, enforce policies, and optimize workflows, and are completely customizable. [Source]
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 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
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.
Yes, the Faros AI Professional plan includes Jira integration. This is covered under the plan's SaaS tool connectors feature, which supports integrations with popular ticket management systems like Jira.
Find out about Faros AI's latest product changes.
May 8, 2025
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:
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
