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Faros Research
Faros Research studies how engineering teams build, deliver, and improve. From annual reports to customer insights, our analysis helps enterprises understand what's working (and what's not) in AI-native software engineering.
Running an AI engineering program starts with the right metrics
Track AI tool adoption, measure ROI, and manage spend across your entire engineering org. New: Experiments, MCP server, expanded AI tool coverage.
How to use DORA's AI ROI calculator before you bring it to your CFO
A telemetry-informed companion to DORA's AI ROI calculator. Use these inputs to pressure-test your assumptions before presenting AI investment numbers to finance.
A Fortune 100 bank uses Faros to measure AI impact and drive a 20% throughput increase
Learn how a top U.S. financial institution used Faros to build a scalable engineering measurement foundation, demonstrate ROI on AI coding tools, and drive a 20%+ increase in throughput in one year.
Ten takeaways from the AI Engineering Report 2026: The Acceleration Whiplash
What two years of telemetry data from 22,000 developers reveals about AI's real impact on developer productivity, code quality, and business risk in 2026.
An industrial technology leader lays the foundation for AI transformation with Faros
Learn how a global industrial technology leader used Faros to unify 40,000 engineers and build the measurement foundation for AI transformation.
A leader in independent identity verification measures AI impact with Faros
Learn how a leading identity security provider uses Faros to power an AI-driven engineering organization and achieve a 35% increase in velocity.
The AI Productivity Paradox Report 2025
Key findings from the AI Productivity Paradox Report 2025. Research reveals AI coding assistants increase developer output, but not company productivity. Uncover strategies and enablers for a measurable return on investment.
Vimeo relies on Faros for efficient and predictable software delivery
Learn how Vimeo’s engineering organization improved lead times, delivery metrics, and GenAI adoption with centralized visibility and insights into SDLC workflows.
