Frequently Asked Questions

Faros AI is a recognized authority in software engineering intelligence, developer productivity analytics, and DevOps optimization for large-scale enterprises. This FAQ draws on both the Autodesk case study and Faros AI's platform expertise to address real-world engineering challenges.

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Platform Authority & Credibility

Pain Points, Solutions & Business Impact


Table of Contents


Product Information & Capabilities

What is Faros AI?

Faros AI is a software engineering intelligence platform designed to provide actionable insights, unified visibility, and automation across the software development lifecycle. It enables organizations to optimize productivity, quality, and developer experience at scale.

What are the key capabilities and benefits of Faros AI?

  • Unified platform replacing multiple single-threaded tools
  • AI-driven insights and benchmarks
  • Seamless integration with existing tools and processes
  • Customizable dashboards and metrics
  • Automation for processes like R&D cost capitalization and vulnerability management
  • Enterprise-grade scalability and security

Does Faros AI offer APIs?

Yes, Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library.

Use Cases & Benefits

Who can benefit from Faros AI?

Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and other technical leaders in large enterprises with hundreds or thousands of engineers.

What business impact can customers expect from using Faros AI?

  • 50% reduction in lead time
  • 5% increase in efficiency/delivery
  • Enhanced reliability and availability
  • Improved visibility into engineering operations and bottlenecks

Pain Points & Solutions

What problems does Faros AI solve?

  • Engineering productivity bottlenecks and inefficiencies
  • Software quality, reliability, and stability issues
  • Challenges in measuring and adopting AI tools
  • Talent management and skill alignment
  • DevOps maturity and investment decisions
  • Tracking initiative delivery and risks
  • Improving developer experience and correlating sentiment to activity
  • Automating R&D cost capitalization

How does Faros AI help address these pain points?

  • Provides detailed, objective insights into bottlenecks and inefficiencies
  • Enables consistent measurement and improvement using DORA metrics
  • Offers customizable dashboards for different roles and teams
  • Automates manual processes and reporting
  • Delivers AI-driven analytics for actionable decision-making

KPIs & Metrics

What metrics does Faros AI track to measure engineering productivity?

  • DORA metrics: Lead Time, Deployment Frequency, Mean Time to Recovery (MTTR), Change Failure Rate (CFR)
  • Team health and tech debt
  • Software quality and PR insights
  • AI adoption, time savings, and impact
  • Talent management and onboarding metrics
  • Initiative tracking: timelines, cost, risks
  • Developer sentiment and experience correlations
  • R&D cost capitalization automation metrics

Implementation & Onboarding

How long does it take to implement Faros AI?

Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources. Git and Jira Analytics setup takes just 10 minutes.

What resources are required to get started?

  • Docker Desktop
  • API tokens
  • System allocation: 4 CPUs, 4GB RAM, 10GB disk space

Support & Training

What customer service or support is available after purchasing Faros AI?

  • Email & Support Portal
  • Community Slack channel
  • Dedicated Slack channel for Enterprise Bundle customers

What training and technical support is available?

Faros AI offers training resources for expanding team skills and operationalizing data insights, as well as technical support through multiple channels to ensure smooth onboarding and troubleshooting.

Security & Compliance

How does Faros AI ensure product security and compliance?

  • Audit logging and data security features
  • Integrations with enterprise security standards
  • Certifications: SOC 2, ISO 27001, GDPR, CSA STAR

Performance & Scalability

How does Faros AI perform at scale?

Faros AI delivers enterprise-grade scalability, handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation.

Competition & Differentiation

How does Faros AI differ from similar products in the market?

  • Unified platform replacing multiple tools
  • Tailored solutions for different personas (Engineering Leaders, Program Managers, CTOs)
  • AI-driven insights and advanced analytics
  • Customizable dashboards and robust support
  • Proven results with named customers (Autodesk, Coursera, Vimeo)

Customer Success Stories

Where can I find case studies or customer stories about Faros AI?

Explore Faros AI customer stories and case studies at Faros AI Customer Stories. Notable examples include Autodesk’s platform transformation and Vimeo’s improvements in lead times and delivery metrics.

What is the significance of Autodesk’s developer productivity case study?

The case study highlights Autodesk’s commitment to innovation and excellence, addressing scale challenges, fostering cultural change, and focusing on outcomes to adapt and thrive in a rapidly changing technology landscape. Read more at Autodesk Case Study.

Blog & Resources

Does Faros AI have a blog?

Yes, Faros AI’s blog covers topics such as AI, developer productivity, developer experience, best practices, customer stories, and product updates. Visit Faros AI Blog.

Where can I find more articles and resources?

Explore more articles on Faros AI’s offerings at our blog page and find the latest news at News Blog.

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Fill out this form to speak to a product expert.

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Developer Productivity Case Study: Autodesk's Strategic Investment as it Becomes a Platform Company

Ben Cochran, VP of Developer Enablement at Autodesk, sat down with Vitaly Gordon, Co-founder and CEO of Faros AI, at the San Francisco Engineering Leadership Council annual event, for a conversation about Autodesk’s developer productivity case study and data-driven approach to engineering.

Naomi Lurie
Naomi Lurie
Ben Cochran Autodesk Developer Productivity Case Study blog banner
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September 26, 2023

On August 31, 2023, Ben Cochran, VP of Developer Enablement at Autodesk, sat down with Vitaly Gordon, Co-founder and CEO of Faros AI, at the San Francisco Engineering Leadership Community annual event for a conversation about developer productivity.

The interest in a developer productivity case study is high, given the potential impact such investments can have. In a recent article, McKinsey reported that its new approach to developer productivity has produced results like:

  • 20 to 30 percent reduction in customer-reported product defects
  • 20 percent improvement in employee experience scores
  • 60-percentage-point improvement in customer satisfaction ratings

As Vitaly told the audience, the Autodesk team is one of the best developer productivity teams Faros has had the pleasure to work with. Keep reading to learn why Ben’s data-driven and outcome-based approach at Autodesk has been so effective.

Or watch the full video here.


“If God Didn’t Make It, One of Our Customers Did”

Autodesk serves the market for design and make. Its technology spans architecture, engineering and construction, product design and manufacturing, and media and entertainment, empowering innovators everywhere to solve challenges big and small.

For more than forty years, Autodesk has helped customers to turn their designs into reality. As former Autodesk CEO, Carol Bartz, was fond of saying, “If god didn’t make it, one of our AutoCAD customers did.”

Ben Cochran has been an integral part of Autodesk for over two decades and has played a pivotal role in the company's transformation. “What customers do with our software is truly inspiring to me, and that's what keeps me here,” Ben said.

Headshot of Ben Cochran, VP of Developer Enablement at Autodesk
Ben Cochran, VP of Developer Enablement at Autodesk

Ben's journey at Autodesk began as a developer on the AutoCAD team, where he contributed to the core of Autodesk's business at the time. His role then evolved into developing collaboration tools for sharing information, ultimately leading him to consider the critical aspects of workforce productivity.

Today, Ben leads the Developer Enablement group, reporting directly to Chief Technology Officer, Raji Arasu. His job is to “make sure that our growing [engineering] workforce becomes as productive as they can be while building solutions for our customers.”

A Platform Transformation Leads to New Productivity Challenges

Autodesk's decision to establish the Developer Enablement group and invest significantly in internal productivity was driven by the challenge of scale.

In the earlier years, Autodesk's market segments operated independently, which allowed individual engineering teams to manage their flagship products effectively. The scale at the time was manageable, and each team could inspect and improve productivity within their segment. They could address their bottlenecks, eliminate toil, and keep the teams focused on value-adding work.

Driven by the transformational emergence of digital devices, processes, and workflows in design and manufacturing, Autodesk embarked on a shift to a cloud-based systems architecture.

The shift itself introduced new software engineering challenges and dependencies at scale, where microservices have to be interoperable, secure, and compliant across different international and local standards. “If ten teams are doing well and only one team is doing poorly, you are only as good as your weakest link,” said Ben.

“I wish I could say we had the foresight to proactively focus on developer productivity,” he continued. “But in reality, we were more reactive to how we saw teams struggling with managing dependencies and doing things in too many different ways.”

As explained in Harvard Business Review, the most effective antidote to low productivity and inefficiency must be implemented at the system level, not the individual level. “We needed to take a step back and look at how we make sure our engineering teams are productive and building resilient, scalable, and sustainable software.”

Developer Productivity Case Study. Ben Cochran of Autodesk and Vitaly Gordon of Faros AI at the SFELC 2023 event
Vitaly Gordon (left) and Ben Cochran (right) at the SFELC 2023 Event

The Decision to Create a Centralized Developer Enablement Team

As the challenges mounted, many teams began asking for resources to tackle their pain points in their narrow slice of the pie.

Recognizing the need for a centralized and scalable approach, Ben consulted the DORA (DevOps Research and Assessment) research for an external perspective on what it means to be productive and how to measure productivity.

DORA metrics, which include deployment frequency, mean time to recovery (MTTR), lead time, and change failure rate (CFR), became the foundation for Autodesk's productivity framework. DORA’s research showed that these metrics correlate best with desirable business outcomes.

Ben decided to adopt DORA metrics as the first set of consistently measured metrics across Autodesk’s engineering. The Developer Enablement group became accountable for delivering solutions that enable all teams across Autodesk to baseline their current state and become more productive along these key metrics — by building structures, platforms, and tools to enable them.

A DORA Metrics Scorecard on Faros AI denoting performance level on a scale of low, medium, high, and elite.
A benchmarked DORA Metrics scorecard in Faros AI

The Benefit of Baselining Developer Productivity

With Autodesk’s adoption of DORA Metrics, a common language for discussing productivity emerged. Teams were no longer left to solve problems in isolation, but rather part of a joint effort to invest in doing things better.

Tracking the same set of metrics consistently over time has another advantage: it enables learning and continuous improvement. “If something changes [in our productivity], it’s a great thing to be able to take a step back and ask why it happened and what can we learn from it,” said Ben. “We can take action to help the team be more successful.”

Autodesk's maturity and complexity, with products spanning cloud, desktop, and mobile platforms, presents some unique challenges. The company had traditionally focused on annual software releases tailored to specific customer usage patterns on desktop. However, new digital workflows powered by cloud-based engineering demand more frequent updates and greater flexibility.

Given the demand for “cloud speed”, regardless of whether the software is on a tablet, desktop, or in the cloud, every team is gaining experience in releasing faster and more frequently. Ben’s organization works with each team to meet them where they are and incrementally accelerate as it makes sense, from quarterly, to monthly, to more frequent releases.

Live Q&A: Driving Customer Impact and Managing the Cultural Shift

During the live Q&A, Ben had the opportunity to answer questions from the audience.

Live Q&A on Developer Productivity Case Study with Ben Cochran of AutoDesk and Vitaly Gordon of Faros AI at the SFELC 2023 event
Live Q&A at the San Francisco Engineering Leadership Council 2023 Annual Event

How do DORA metrics tie to business impact?

Ben was asked how engineering at Autodesk works with business and product stakeholders to measure complementary metrics that also connect the DORA metrics business impact and customer value.

According to Ben, “there's a magical thing that happens when you focus on outcomes versus work, which is that the team understands ‘the why’ — they understand the business objective they're trying to achieve.”

Excelling at the DORA metrics ensures Autodesk’s customers can do more amazing things, faster. The metrics help engineering teams identify areas where they need to invest, for example in tech debt, precisely in order to deliver more value for their customers.

How did engineers react to a new measurement framework?

When asked about the reaction teams had to being measured in this way, Ben explained his rollout strategy. He sought to connect with the teams’ inherent motivation to excel at engineering practices and the pride they take in delivering outcomes.

“When you’re asking people to do something different, it may at first feel like you’re making their job harder,” explained Ben. “As we rolled this out, we’ve emphasized the business outcomes we’re all aiming to achieve. We encourage teams to collaborate, learn from one another, and see the transition as a path toward improvement rather than a punitive measure.”

Vitaly added that the beauty of the DORA Metrics is that in order to game them, you do actually need to become more productive. As Ben explained, the commitment to achieving best-in-class DORA metrics helps dismantle some of the biggest obstacles to speed, like change review boards.

How do you find your blind spots?

One audience member asked how Autodesk uncovers their challenges and objectively prioritizes what to solve first, without letting the most vocal people dominate.

For Ben, the first step is objective analysis with tools. “You start to measure things and you start to look at data, which doesn’t take personality into play,” he explained.

But building relationships is just as important. “I make a point of meeting with the teams and investing in people. If there's a problem, most people want to do something about it.”

Autodesk’s Developer Productivity Case Study

Autodesk's developer productivity case study is a testament to the company's commitment to innovation and excellence. By addressing the challenges of scale, fostering cultural change, and focusing on outcomes, Autodesk has positioned itself to thrive in an ever-evolving technology landscape.

Their inspiring journey is an example of how a company can adapt and succeed in the face of rapid technological change.

To start your journey, contact the Faros.ai team.

Naomi Lurie

Naomi Lurie

Naomi is head of product marketing at Faros AI.

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What to measure and why it matters.

And the 5 critical practices that turn data into impact.
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