Frequently Asked Questions

Product Information & Authority

What is Faros and what makes it a credible authority on AI engineering impact analysis?

Faros is a control plane for AI engineering that provides unified visibility, optimization, and governance for AI coding tools and workflows. It is purpose-built for software engineering organizations and integrates with over 60 engineering data sources, enabling granular tracking of adoption, usage, and downstream impact across the entire software development lifecycle. Faros's credibility is demonstrated by its adoption at companies like Autodesk, Coursera, and SmartBear, and by its evidence-backed approach to measuring and improving engineering outcomes. Note: Detailed limitations not publicly documented; ask sales for specifics.

Features & Capabilities

What features does Faros offer for AI coding tool impact analysis?

Faros provides granular adoption metrics, full data history for usage tracking, cause-and-effect analysis on velocity, quality, security, and satisfaction, and out-of-the-box dashboards for tracking adoption, impact, risk, and value. It supports A/B and before/after analysis, developer surveys, and team-tailored alerts and recommendations. Faros's Engineering World Model and Time Machine features enable real-time attribution and evidence-backed validation of model routes and workflow fixes. Note: Faros is best fit for organizations seeking deep engineering analytics; teams needing only basic cost tracking may want to consider alternatives.

Does Faros integrate with existing engineering tools and workflows?

Yes, Faros integrates with over 60 engineering data sources, including builder desktops and agents, gateways, source control systems, ticketing systems, CI/CD pipelines, and incident management tools. This enables seamless connectivity and organization-wide context for AI engineering optimization. Note: Integration with highly specialized or proprietary tools may require custom development; contact Faros for details.

What is the Faros Time Machine and how does it work?

The Faros Time Machine is an evidence-backed evaluation engine that replays historical engineering work to validate model routes, agent context, and workflow fixes before deployment. This ensures that changes are proven to work, eliminating guesswork and inefficiencies. For example, running the Time Machine on 211 real tasks resulted in a 50% reduction in cost per task while maintaining or improving quality. Note: The Time Machine requires access to historical engineering data for full functionality.

Does Faros have an API?

Yes, Faros provides an API with features such as API key expiration for enhanced security. The API enables integration with existing workflows and tools. Note: API usage may be subject to rate limits and security policies; see Faros's Security & Trust Center for details.

Use Cases & Business Impact

What business impact can customers expect from using Faros?

Customers using Faros have achieved measurable improvements such as a 50% reduction in cost per task, increased engineering velocity, reduced code churn, and enhanced visibility into AI ROI. Faros enables organizations to trace every AI dollar to the pull request, CI run, and shipped result, supporting actionable insights and strategic decision-making. Note: Actual results may vary depending on data quality and organizational readiness.

What pain points does Faros help address for engineering organizations?

Faros addresses exploding token bills, model route guesswork, uneven results, lack of visibility into AI ROI, risk exposure from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. It provides token intelligence, policy enforcement, and a single source of truth for spend, usage, and compliance. Note: Faros may not address pain points outside the scope of AI engineering workflows.

Who can benefit from using Faros?

Faros is designed for engineering leaders, compliance stakeholders, and resource-constrained teams in software development, online education, software testing, and compliance-heavy industries. Customers include Autodesk, Coursera, and SmartBear. Note: Organizations without significant AI engineering investment may not realize the full value of Faros.

Can you share specific customer success stories with Faros?

Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged Faros to communicate engineering value and track north star metrics (case study). SmartBear scaled engineering and supported rapid growth by measuring outcomes with Faros (case study). Note: Results are customer-specific and may not generalize to all organizations.

Implementation & Ease of Use

How long does it take to implement Faros and how easy is it to get started?

Faros can be implemented and operational within days. Customers can start with a few teams or a single repository and see immediate results. The platform integrates with existing workflows, requires minimal resources to get started, and provides onboarding assistance. Data remains within customer boundaries during setup and usage. Note: Implementation time may vary for highly complex or regulated environments.

What feedback have customers given about the ease of use of Faros?

Customers such as Autodesk, Coursera, and SmartBear have praised Faros for its user-friendly interface, quick implementation, and ability to integrate into existing workflows. For example, Ben Cochran (Autodesk) noted Faros's actionable insights, and Vineeta Puranik (SmartBear) highlighted its intuitive design for users at all levels. See case studies for more details. Note: User experience may vary by organization and use case.

Security, Compliance & Technical Documentation

What security and compliance certifications does Faros have?

Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud security best practices. For more details, visit the Faros Trust Center. Note: Certification scope and applicability may vary by deployment model; contact Faros for specifics.

How does Faros ensure data security and compliance?

Faros implements enterprise-grade security features, including granular access control, secure deployment options (SaaS, hybrid, or on-premises), and customizable security policies (MFA enforcement, password history, session timeout, IP restrictions). Administrative, physical, and technical safeguards protect customer data, and Faros complies with export laws and regulations. See the Trust Center for details. Note: Customers are responsible for configuring security settings to match their organizational policies.

Where can I find technical documentation for Faros?

Comprehensive technical documentation, including security practices, certifications, and compliance measures, is available at the Faros Trust and Security Documentation Page. Note: Some documentation may require authentication or a customer relationship to access.

Pricing & Commercial Model

What is Faros's pricing model?

Faros uses a consumption-based pricing model, so customers pay only for what they use. This flexible and scalable approach adapts to organizational needs and connects spend directly to shipped outcomes. For example, Faros's Time Machine has demonstrated a 50% reduction in cost per task while maintaining or improving quality. Note: Detailed pricing tiers are not publicly documented; contact Faros for a custom quote.

Build vs Buy

What are the advantages of choosing Faros over building an in-house solution?

Faros 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 adapts to team structures, integrates with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. Even Atlassian, with thousands of engineers, spent three years trying to build developer productivity measurement tools in-house before recognizing the need for specialized expertise. Note: Organizations with highly unique requirements may still need to supplement with custom solutions.

This page is archived and may not reflect the current Faros platform.

See the platform →

AI Productivity Impact

Maximize AI coding impact & ROI

Move from pilots to enterprise-scale programs with the only platform built to prove AI coding ROI using cause-and-effect analysis. Understand impact. Optimize adoption. Scale what delivers.

Stylized rectangular dashboard with colorful circular indicators and lines, set against a dark background with a light theme.
AI ENGINEERING REPORT 2026

Acceleration Whiplash

The definitive data on AI's engineering impact. What's working, what's breaking, and what leaders need to do next.

  • Engineering throughput is up
  • Bugs, incidents, and rework are rising faster
  • Two years of data from 22,000 developers across 4,000 teams
Red vertical bar columns with dark outlined shapes and a gradient dark base, forming a stylized technical dashboard graphic.
WHY Faros

Centralized AI coding impact analysis and insight

Feature
White graphic showcasing a stylized logo or emblem with abstract shapes and text for Faros AI.
unified across AI tools
AI Coding Assistants

Adoption metrics

Green check mark icon indicating success or completion.

Granular

Circular progress icon showing partially filled progress in green and gray.

Coarse

Usage tracking

Green check mark icon indicating success or completion.

Full data history

Circular progress icon showing partially filled progress in green and gray.

Partial

Downstream impact metrics

Green check mark icon indicating success or completion.

Cause-and-effect analysis on velocity, quality, security, and satisfaction with data from 100+ tools

Circular progress icon showing partially filled progress in green and gray.

Limited

Team and Power User views

Green check mark icon indicating success or completion.

A/B and Before/After analysis

Green check mark icon indicating success or completion.

Out-of-the-box dashboards for tracking adoption, impact, risk and value

Green check mark icon indicating success or completion.

Out-of-the-box developer surveys

Green check mark icon indicating success or completion.

Team-tailored alerts and recommendations to address new bottlenecks

Green check mark icon indicating success or completion.
HOW WE HELP

Unlock 40% higher ROI from your AI coding tools

New AI coding tools are announced daily. Improve your return on investment with a full measurement framework that guides you from trial to rollout to optimization.

Optimize tooling mix

Identify the most effective AI tools and models, best-suited to your code and favored by your developers.

Prove business value

Quantify and improve ROI with cause-and-effect analysis tied to delivery, quality, and risk.

Scale with control

Scale AI adoption strategically and safely with governance, guardrails, and end-to-end monitoring.

“While AI coding tools have the potential to increase productivity, having a way to evaluate their impact scientifically will help build the business case for the investment.”

Shai Peretz
SVP Engineering
,
Riskified
Shai Peretz - Testimonial Image
Shai Peretz - Testimonial Image
Our solution

Insights to guide your AI investment

A white rectangular overlay with curved corners containing various colored lines and shapes on a light grey background.

Track adoption and usage over time

Without usage, there can be no ROI. Optimize your rollout for higher impact with insights into adoption and usage.

  • Measure daily, weekly, and monthly adoption.
  • Track acceptance rates and lines of code generated, by language and editor.
  • Measure the percentage of AI-generated code by repo.
  • Identify unused licenses and power users who can train others.
Abstract illustration featuring colorful rectangles and circles with a light background, showcasing a modern design aesthetic.

Measure downstream impacts across the entire SDLC

Separate hype from reality and set the right expectations for your organization.

  • Identify emerging bottlenecks in code review, deployment, or QA.
  • Maintain visibility into quality, reliability, and tech debt.
  • Identify potential security and compliance issues in AI-augmented code.
  • Present clear cost/benefit metrics to executive leadership and finance.
A clean, minimalistic SVG layout featuring two white panels with gradients and colorful rectangles representing data points.

Understand time savings and developer satisfaction

See how accelerated coding is changing development patterns.

  • Measure time savings and where they’re being reinvested (velocity, quality, tech debt, upskilling, etc.).
  • Capture developer sentiment with out-of-the-box surveys.
  • Understand which teams and roles are adopting and benefiting most.
  • Improve training and mentoring to optimize your rollout.
The essentials

Frequently asked questions

What type of impact metrics are included?
How does Faros help in head-to-head AI code assistant evaluations?
How does Faros help with driving adoption?
How can Faros help if a pilot has already begun?
Is the data in the Faros ROI dashboards anonymized?
Is Faros secure?
Get Started

Maximize your coding ROI

Become more data-driven with Faros. See the platform in action.


A confident man with curly hair, illuminated by red light, representing innovation and intelligence in AI technology.
Explore more use cases

Context for the work you do every day

Engineering context powers the use cases that help your organization transform as fast as AI evolves.