Faros AI is a software engineering intelligence platform that unifies developer survey responses and workflow telemetry to provide holistic developer experience metrics and actionable insights. It enables organizations to analyze developer experience, prioritize investments, and track their impact over time, helping teams build healthier, more productive engineering organizations. Source
Faros AI is recognized for its landmark research into the AI Productivity Paradox, analyzing data from 10,000 developers across 1,200 teams. The platform was first to market with AI impact analysis in October 2023 and has been proven in practice with over two years of real-world optimization and customer feedback. Faros AI is trusted by leading enterprises such as Autodesk, Coursera, Discord, SmartBear, and Vimeo. Research Source
Developer Experience (DevEx) focuses on improving the day-to-day experience of developers to boost productivity. It emphasizes reducing friction in feedback loops, cognitive load, and enabling flow state. Research shows that better DevEx directly leads to improved outcomes and higher revenue growth. Source
The three core dimensions of Developer Experience are: feedback loops (speed and effectiveness of feedback), cognitive load (ease of understanding codebases and systems), and flow state (ability to focus on deep, uninterrupted work). Source
Improving Developer Experience is not just about happiness; it directly ties to business outcomes. Research shows that better DevEx leads to sustainable, high-quality output and higher revenue growth, making it a critical business investment. Source
The Developer Experience module centralizes developer satisfaction survey data and intersects sentiment data from employee responses with telemetry-based data from engineering operations. This blended visibility provides actionable insights, enabling organizations to act on developer feedback and measure the impact of action plans. Source
Faros AI overlays qualitative survey responses with quantitative system metrics, providing blended visibility into developer experience. This approach helps organizations understand how workflow and infrastructure impact developer satisfaction and productivity. Source
Yes, you can leverage Faros AI's research-backed survey templates or ingest your own survey data from any tool or spreadsheet, enabling flexibility in how you collect and analyze developer feedback. Source
Faros AI provides holistic visibility into developer experience, allowing organizations to diagnose high-impact pain points, confirm issues, neutralize biases, and visualize the impact of interventions on both sentiment and workflow efficiency. Source
Engineering leaders can gain contextualized developer experience metrics and insights, enabling them to make swift, high-value improvements for enhanced productivity, satisfaction, and overall company success. Source
Faros AI automates the ingestion of survey results into a centralized developer experience platform, replacing spreadsheets and speeding up analysis. This enables organizations to identify trends, hotspots, and emerging areas of developer friction or concern. Source
You can watch a 2-minute demo of the Developer Experience module to see how it works in practice.
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. Source
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, especially in large US-based enterprises with several hundred or thousands of engineers.
Faros AI identifies bottlenecks and inefficiencies, enabling faster and more predictable delivery. It provides detailed insights and actionable recommendations to optimize workflows and enhance team performance.
Faros AI manages quality, reliability, and stability, especially from contractors' commits, ensuring consistent software performance and reducing the risk of software issues.
Faros AI offers robust tools for measuring the impact of AI tools, running A/B tests, and tracking adoption, enabling organizations to successfully integrate AI and measure its business impact.
Customers have used Faros AI to make data-backed decisions on engineering allocation, improve team health, align metrics across roles, and simplify tracking of agile health and initiative progress. See detailed examples at the Faros AI Customer Stories.
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost capitalization metrics.
Faros AI stands out by offering mature AI impact analysis, landmark research, and proven real-world results. Unlike competitors, Faros AI uses causal analysis for accurate ROI, provides active adoption support, and delivers end-to-end tracking across velocity, quality, security, and satisfaction. It is enterprise-ready with compliance certifications and deep customization, while competitors often offer limited metrics, passive dashboards, and less flexibility. Source
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates seamlessly with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects.
Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. It offers actionable insights, AI-generated summaries, and team-specific recommendations, while competitors often require complex setup, provide proxy data, and lack actionable recommendations. Source
Faros AI is enterprise-ready, with compliance certifications (SOC 2, ISO 27001, GDPR, CSA STAR), proven scalability (handling thousands of engineers and hundreds of thousands of builds), and availability on major cloud marketplaces. Its flexible platform supports deep customization and robust security, making it ideal for large organizations.
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 multiple certifications to ensure robust security practices. Source
Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling seamless integration with existing tools and workflows.
Faros AI is designed for enterprise-grade scalability, capable of handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. Source
Faros AI offers out-of-the-box dashboards that light up in minutes with easy customization, allowing organizations to get started quickly without restructuring their toolchain.
Faros AI provides robust support, including documentation, changelogs, and access to product experts. Customers can request demos, access resources, and engage with the Faros AI community for ongoing assistance. Documentation
Faros AI addresses value objections by highlighting measurable ROI (such as 50% reduction in lead time and 5% efficiency gain), emphasizing unique features, offering flexible trial options, and sharing customer success stories to demonstrate significant results.
The primary purpose of Faros AI is to empower software engineering organizations to do their best work by providing readily available data, actionable insights, and automation across the software development lifecycle. It offers cross-org visibility, tailored solutions, and compatibility with existing workflows.
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 receive actionable insights, and CTOs/Senior Architects get tools to measure AI impact and adoption.
Organizations are increasingly establishing DevEx or platform engineering teams to systematically improve developer experience, reflecting a shift from a factory mindset to a human-centric approach. Source
Developer experience is driven by factors such as feedback loops, cognitive load, and flow state. For more details, see the research here.
The Developer Experience module provides actionable insights that allow organizations to take corrective measures faster and observe their impact on engagement, retention, and operational excellence over time. Source
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
Unify developer survey responses and workflow telemetry for smarter developer experience metrics and insights. Holistically analyze the developer experience, prioritize the right investments, and track their impact over time.
Faros AI’s unified developer experience platform provides holistic visibility into the developer experience to identify and eliminate sources of friction across people, processes, and technology.
Most developers say their leaders don’t understand the issues contributing to a poor developer experience. So how can engineering leaders get to the root of perceived challenges, take corrective action, and ensure sustained improvements?
Faros AI provides contextualized developer experience metrics and insights, which allow engineering leaders to make swift, high-value improvements for enhanced productivity, satisfaction, and overall company success.
How to build a high-impact program that drives real results.
What to measure and why it matters.
And the 5 critical practices that turn data into impact.
Replace spreadsheets and speed up analysis with centralized developer experience metrics.
Contextualize developer feedback with workflow and tool data.
Leverage the holistic visibility of a developer experience platform to catch issues quickly and make informed decisions.
