Platform
Platform
Overview

Explore our platform to see what’s possible when your data works together.

Capabilities
Developer Productivity

Drive engineering efficiency with AI insights

AI Transformation

Realize productivity gains from AI tools

Context for AI Agents

Eliminate AI agent mistakes and rework

Predictable Roadmap Delivery

Maximize capacity and derisk initiatives

Solutions
engineering Roles
CTOs and VPs

Drive strategic impact

AI Officers

Accelerate AI transformation

DevEx and Platform Engineering

Remove friction, delight developers

Technical Program Managers

Forecast capacity and mitigate risk

Context for engineering Roles
AI Impact

Measure AI’s productivity ROI

Engineering Productivity

Optimize SDLC workflows

Developer Experience

Unify surveys and metrics

Investment Strategy

Align resources to outcomes

Use cases
AI Benchmarking

Identify and remove blockers

DORA Metrics

Improve throughput and stability

Initiative Tracking

Keep critical commitments on track

Software Cost Capitalization

Automate R&D cost reporting

Pricing
Resources
RESOURCES
Blog

Engineering in the AI era

Guides

Playbooks that work

Customers

See who ships faster

News

What's new, what's next

Faros AI and Autodesk logos with a smiling man, highlighting AI-driven engineering productivity and software delivery insights.

Why Autodesk Chose a Platform Approach to Developer Productivity and GenAI Impact

About
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Shubha Nabar

Shubha Nabar

Shubha Nabar is the Co-founder of Faros. Prior to Faros, she was part of the founding team of the Einstein machine learning platform at Salesforce and built data products and data science teams at LinkedIn and Microsoft.

Connect on LinkedIn

Latest posts by Shubha Nabar

Research
6
min
3/3/26

Monorepo vs Polyrepo: What the PR benchmark data actually shows

Benchmark data from 320 teams comparing monorepo and polyrepo PR cycle times. What “good” looks like and why developer infrastructure matters, especially for AI agents.
monorepo lllustration
Platform Engineering
Metrics
Productivity
Managers
Developers
6
MIN READ
Blog
7
min
11/6/24

All you need to know about the DORA metrics, and how to measure them

All you need to know about the DORA metrics, and how to measure them. | Faros.ai
DORA Metrics
7
MIN READ
News
5
min
6/27/23

Guiding The Way To Smarter EngOps With Lighthouse AI

Today we are very excited to reveal Lighthouse AI - the foundational artificial intelligence engine built into the Faros platform, designed to help engineering organizations make sense of the vast amounts of data that they produce every single day. Learn more...
Faros Announcements
5
MIN READ
Blog
15
min
9/1/22

It's Time to "Do More With Less"

Adding more headcount to an organization is an expensive band-aid fix that substantially increases the complexity of the system and often slows it down. Read this candid perspective to learn how software engineering teams can "do more with less".
Productivity
15
MIN READ
Blog
10
min
4/11/22

Lead Time for Software Delivery

Lead time measures the velocity of an engineering organization in delivering software — from idea to production. Shorter lead times mean shorter turnaround times for new feature requests, incident resolutions, bug fixes etc. In this blog post, learn more about lead time and cycle time for software delivery, and how to measure them.
Productivity
DORA Metrics
Platform Engineering
10
MIN READ
Solutions
15
min
2/28/22

Towards EngOps: Scaling engineering orgs with data

With the right tools, engineering leaders can use data to identify bottlenecks, measure progress, better support teams and accurately assess impact over time.
Faros Announcements
15
MIN READ
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PLATFORM
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capabilities
Developer ProductivityAI TransformationContext for AI AgentsPredictable Roadmap Delivery
Solutions
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AI Impact & ROIAI Maturity BenchmarkingEngineering ProductivityDORA MetricsDeveloper ExperienceInitiative TrackingInvestment StrategySoftware CapitalizationFaros + Microsoft
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