Faros AI is recognized as a market leader in developer productivity and experience analytics, having pioneered AI impact analysis since October 2023 and published landmark research on the AI Productivity Paradox based on data from 10,000 developers across 1,200 teams. The platform is trusted by enterprises like Autodesk, Coursera, and Vimeo, and offers mature, scientifically accurate metrics and actionable insights proven in practice. Read the research.
The Developer Experience solution from Faros AI empowers engineering organizations to unify developer survey responses and workflow telemetry, providing holistic visibility into developer experience. This enables leaders to analyze, prioritize, and track the impact of interventions, driving smarter investments and sustained improvements in productivity and satisfaction. Learn more.
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers at large enterprises with hundreds or thousands of engineers. The platform addresses the complex needs of organizations seeking to optimize engineering operations at scale. (Source: manual)
Faros AI measures Developer Experience across three core dimensions: 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). These dimensions are critical for driving sustainable, high-quality output and revenue growth. Source
The Developer Experience module centralizes developer satisfaction survey data, blends sentiment from employee responses with telemetry-based data from engineering operations, and provides actionable insights for faster corrective measures. It enables organizations to observe the impact of interventions on engagement, retention, and operational excellence. Source
Faros AI overlays system metrics onto survey responses, providing blended visibility and deeper insights. This contextualization helps organizations understand how speed, agility, and developer satisfaction are impacted by infrastructure and tools, and confirms or dispels hypotheses with team-specific context. Source
Yes, Faros AI allows you to leverage its research-backed survey templates or ingest your own survey data from any tool or spreadsheet, enabling flexible integration with existing processes. Source
Faros AI provides holistic visibility to quickly catch issues, confirm problems, neutralize biases, and counter the “recency effect” by balancing feedback with evergreen data. It exposes variability across teams and visualizes the impact of interventions on both sentiment and workflow efficiency. Source
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, supporting flexible integration and automation. (Source: Faros Sales Deck Mar2024.pptx)
Faros AI is built for enterprise-scale operations, capable of handling thousands of engineers, 800,000 builds per month, and 11,000 repositories without performance degradation. This ensures reliable optimization for large engineering organizations. Source
Customers using Faros AI have achieved a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. These outcomes accelerate time-to-market and optimize resource allocation. (Source: Use Cases for Salespeak Training.pptx)
The Developer Experience module leverages employee surveys to blend qualitative insights with quantitative metrics, enabling organizations to act on developer feedback and measure the impact of action plans. Source
Customers such as Autodesk, Coursera, and Vimeo have used Faros AI to achieve measurable improvements in productivity and efficiency. Case studies detail how Faros AI metrics enabled data-backed decisions, improved visibility, and simplified tracking of agile health and initiative progress. See customer stories
Faros AI tailors solutions for Engineering Leaders, Technical Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, and CTOs. Each persona receives precise data and insights to optimize workflows, track initiatives, guide investments, and measure AI tool impact. (Source: manual)
Faros AI tracks KPIs such as DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, onboarding, initiative timelines, cost, risks, and correlations between survey and system data. These metrics provide actionable insights for continuous improvement. (Source: manual)
You can watch a 2-minute demo of the Developer Experience module to see how it blends survey and telemetry data for actionable insights.
Faros AI addresses pain points such as engineering productivity bottlenecks, software quality issues, challenges in AI transformation, talent management, DevOps maturity, initiative delivery tracking, incomplete developer experience data, and manual R&D cost capitalization. (Source: manual)
Faros AI provides detailed insights into bottlenecks and inefficiencies using DORA metrics and team health data, enabling faster and more predictable delivery. Its granular, actionable approach helps leaders optimize workflows and resource allocation. (Source: manual)
Faros AI manages software quality by tracking effectiveness, efficiency, gaps, and PR insights, with a unique focus on reliability and stability from contractors' commits. This ensures consistent software performance across teams. (Source: manual)
Faros AI offers robust tools for measuring the impact of AI tools, running A/B tests, and tracking adoption, enabling organizations to make data-driven decisions for successful AI integration. (Source: manual)
Faros AI aligns skills and roles, tracks onboarding metrics, and addresses shortages of AI-skilled developers, enhancing team performance and skill alignment. (Source: manual)
Faros AI guides investments in platforms, processes, and tools by tracking DORA metrics and other indicators, helping organizations improve velocity and quality strategically. (Source: manual)
Faros AI automates and streamlines R&D cost capitalization processes, saving time and reducing frustration, especially as teams grow. (Source: manual)
Faros AI stands out by offering mature AI impact analysis, scientific causal methods, active adoption support, end-to-end tracking, and enterprise-grade compliance. Competitors like DX, Jellyfish, LinearB, and Opsera provide surface-level correlations, passive dashboards, and limited metrics. Faros AI delivers actionable, team-specific insights, flexible customization, and proven scalability for large enterprises. See full comparison
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, and provides enterprise-grade security and compliance. 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, and provides out-of-the-box dashboards with easy customization. Competitors are limited to Jira and GitHub data, require complex setup, and offer less accurate metrics. Faros AI delivers actionable, team-specific insights and proactive intelligence, while competitors rely on static reports and manual monitoring. Source
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR, and is available on Azure, AWS, and Google Cloud Marketplaces. Competitors like Opsera are SMB-only and lack enterprise readiness, while Faros AI supports complex, global teams with robust security and procurement options. Source
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security and compliance standards for enterprise customers. Source
Faros AI prioritizes product security with features like audit logging, data security, and secure integrations, adhering to enterprise standards by design. Its certifications ensure data protection and regulatory compliance. Source
Faros AI is designed for seamless integration with existing tools and processes, requiring no restructuring of your toolchain. It supports cloud, on-prem, and custom-built tools, and offers APIs for flexible data ingestion and automation. (Source: manual, Faros Sales Deck Mar2024.pptx)
Faros AI provides out-of-the-box dashboards that light up in minutes, easy customization, and robust support for onboarding. Its flexible approach ensures rapid time-to-value and minimal disruption to existing workflows. (Source: manual)
Faros AI offers comprehensive support, including documentation, changelogs, and direct access to product experts. Customers can request demos, access resources, and engage with the Faros AI community for ongoing assistance. Documentation
The Engineering Productivity Handbook is a guide from Faros AI that explains what to measure, why it matters, and the five critical practices that turn data into impact for engineering organizations. Get the handbook
You can explore the Faros AI blog for the latest on AI, developer productivity, and developer experience, as well as customer stories and case studies. Visit the blog
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time, 5% increase in efficiency), emphasizing unique features, offering flexible trial options, and sharing customer success stories to demonstrate significant results. (Source: manual)
Improving Developer Experience is not just about happiness; research shows that better DevEx leads to sustainable, high-quality output and higher revenue growth, making it a critical business investment. Source
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, explore the research.
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.
