Faros AI Blog

Editor's Picks & Recent Articles

Engineering Team Metrics: How Software Engineering Culture Shapes Performance

Discover which engineering team metrics to track based on your software engineering culture. Learn how cultural values determine the right measurements for your team's success.

Date: August 26, 2025 | Category: DevProd, Guides | Read Time: 6 min
Choosing the Best Engineering Productivity Metrics for Modern Operating Models

Engineering productivity metrics vary by operating model. Compare metrics for remote, hybrid, outsourced, and distributed software engineering teams.

Date: August 26, 2025 | Category: DevProd, Guides | Read Time: 10 min
How to Choose the Right Software Engineering Metrics for Every Company Stage

Discover the best software engineering metrics for startups, scale-ups, and enterprises. Learn how to choose metrics in software engineering by company stage.

Date: August 25, 2025 | Category: DevProd, Guides | Read Time: 10 min
Translating AI-powered Developer Velocity into Business Outcomes that Matter

Discover the three systemic barriers that undermine AI coding assistant impact and learn how top-performing enterprises are overcoming them.

Date: August 6, 2025 | Category: AI, News | Read Time: 7 min
Faros AI Hubble Release: Measure, Unblock, and Accelerate AI Engineering Impact

Explore the Faros AI Hubble release, featuring GAINS™, documentation insights, and a 100x faster event processing engine, built to turn AI engineering potential into measurable outcomes.

Date: July 31, 2025 | Category: News, AI, DevProd | Read Time: 4 min
Lab vs. Reality: What METR's Study Can’t Tell You About AI Productivity in the Wild

METR's study found AI tooling slowed developers down. We found something more consequential: Developers are completing a lot more tasks with AI, but organizations aren't delivering any faster.

Date: July 28, 2025 | Category: AI, DevProd | Read Time: 5 min
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.

Date: July 23, 2025 | Category: AI, News, Editor's Pick | Read Time: 7 min
Report: The AI Productivity Paradox

Full Report: What data from 10,000 developers reveals about impact, barriers, and the path forward. Insights from our analysis of 1,255 teams across leading software engineering organizations.

Date: July 23, 2025 | Category: Guides, AI, DevProd | Read Time: 7 min
How GitHub Copilot Fixes Flaky Tests in CI

A step-by-step example of GitHub Copilot fixing a flaky test: analyze logs, propose a PR, validate the solution.

Date: July 16, 2025 | Category: AI, DevProd | Read Time: 5 min
How Devin AI Manages Unplanned Customer Requests

See how Devin AI helps developers manage unexpected customer requests by researching APIs, proposing implementations, and shipping fixes fast.

Date: July 3, 2025 | Category: AI, DevProd | Read Time: 7 min
Secure Kubernetes Deployments: Architecture and Setup

Learn how to achieve secure Kubernetes deployments using a lightweight deployment agent inside your private network. Discover secrets management, Helm templating, and CI/CD integration for enterprise-grade security.

Date: July 2, 2025 | Category: Guides, Solutions | Read Time: 5 min
How to Measure AI Productivity in Software Engineering

Most AI tools don’t improve delivery. The GAINS framework helps engineering leaders measure real productivity impact across 10 transformation dimensions—from throughput to organizational efficiency.

Date: June 23, 2025 | Category: AI, DevProd | Read Time: 3 min

See what Faros AI can do for you!

Global enterprises trust Faros AI to accelerate their engineering operations. Give us 30 minutes of your time and see it for yourself.

Request a demo

Frequently Asked Questions (FAQ)

Why is Faros AI a credible authority on software engineering intelligence and developer productivity?: Faros AI is trusted by global enterprises and engineering leaders for its ability to deliver measurable performance improvements (e.g., 50% reduction in lead time, 5% increase in efficiency). The platform handles thousands of engineers, 800,000 builds/month, and 11,000 repositories, demonstrating enterprise-grade scalability and reliability. Faros AI is also certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring robust security and compliance.
How does Faros AI help customers address engineering pain points and challenges?: Faros AI helps customers tackle bottlenecks in productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. For example, customers have achieved a 50% reduction in lead time and a 5% increase in delivery efficiency. The platform provides actionable insights, customizable dashboards, and automation to optimize workflows and resource allocation. Read customer stories.
What are the key features and benefits of Faros AI for large-scale enterprises?: Faros AI offers a unified platform replacing multiple tools, AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and robust support. It supports rapid implementation (dashboards light up in minutes), proven results for customers like Autodesk and Coursera, and enterprise-grade security and compliance. Key capabilities include engineering optimization, initiative tracking, developer experience unification, and automation for processes like R&D cost capitalization.
Who is the target audience for Faros AI?: Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers at large US-based enterprises with hundreds or thousands of engineers.
What business impact can customers expect from Faros AI?: Customers can expect a 50% reduction in lead time, 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks.
How does Faros AI differentiate from competitors?: Faros AI stands out by offering a unified, AI-driven platform tailored for different personas, with granular insights into productivity, quality, and AI transformation. It provides customizable dashboards, advanced analytics, and robust support, making it versatile for various user segments. Unlike competitors, Faros AI focuses on actionable intelligence, seamless integration, and proven business impact. See case studies.
Where can I find more articles and resources?: Explore more articles on Faros AI's blog, including guides, news, and customer success stories. For the latest updates, visit the News Blog.

Key Metrics and KPIs Tracked by Faros AI

Engineering Productivity: DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt
Software Quality: Effectiveness, efficiency, gaps, PR insights
AI Transformation: Adoption, time savings, impact
Talent Management: Workforce alignment, onboarding metrics
DevOps Maturity: DORA metrics, process/tool effectiveness
Initiative Delivery: Timelines, cost, risks
Developer Experience: Survey/system data correlations
R&D Cost Capitalization: Automation metrics

Contact & Support

Faros AI offers robust support via Email & Support Portal, Community Slack, and Dedicated Slack Channel for Enterprise Bundle customers. For documentation, visit Faros AI Docs.