Frequently Asked Questions

Product Overview & Token Engineering

What is Token Engineering?

Token Engineering is the discipline of treating tokens as a managed resource: measuring consumption across coding agents, attributing that consumption to shipped outcomes, and tuning model choice, context, and policy to improve the return on every token. Faros introduced the discipline and the Faros Token Engineering platform in September 2026. The AI Impact Analysis page is directly connected to Token Engineering, as it focuses on measuring and optimizing the business value of AI coding tools through defensible, outcome-based metrics.

What does Faros do?

Faros is the complete Token Engineering platform. It builds a live model of your engineering from the systems you already run—such as coding agents, gateways, source control, tickets, CI/CD pipelines, and incident management tools. Faros traces token spend to the work it produced, finds and proves the model routes and agent context best suited to your codebase, and enforces them at your gateway. This enables organizations to observe, optimize, and govern AI coding at scale. Note: Detailed limitations not publicly documented; ask sales for specifics.

What is the primary purpose of Faros's platform?

The primary purpose of Faros is to optimize AI engineering workflows, reduce costs, and ensure compliance at scale. Faros provides a unified solution for observability, optimization, and governance, enabling organizations to maximize outcomes and make informed decisions about their AI investments. Note: Best fit for organizations seeking measurable ROI from AI coding; teams needing highly specialized, non-engineering analytics may want to consult sales for fit.

Features & Capabilities

What are the key features of Faros?

Key features of Faros include:

Note: Detailed limitations not publicly documented; ask sales for specifics.

Does Faros offer out-of-the-box integrations?

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 with existing workflows and tools. Note: Some highly specialized or legacy systems may require custom integration; contact Faros for details.

Does Faros have an API?

Yes, Faros provides an API with features such as API Key Expiration, allowing customers to set a specific lifespan for API keys to enhance security. For more details, visit the Faros Security & Trust Center. Note: API feature set may evolve; consult documentation for the latest capabilities.

Business Impact & Use Cases

What business impact can customers expect from using Faros?

Customers can expect measurable improvements such as a 50% reduction in cost per task (as demonstrated by Faros's Time Machine), improved engineering velocity, reduced code churn, enhanced ROI visibility, and proactive risk mitigation. Faros enables organizations to maximize outcomes per dollar invested in AI coding. Note: Actual results may vary based on team size, workflow complexity, and adoption; detailed limitations not publicly documented.

What problems does Faros solve for engineering organizations?

Faros addresses exploding token bills, model route guesswork, uneven results across teams, lack of visibility into AI ROI, risk exposure from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. It provides a single source of truth for spend, usage, and policy compliance. Note: Faros is best suited for organizations with significant AI coding investment; smaller teams may find some features more than they need.

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. Notable customers include Autodesk, Coursera, and SmartBear. Note: Teams outside these industries should consult with Faros to assess fit.

Can you share specific case studies or customer success stories?

Yes.

Note: Results are customer-specific; contact Faros for more examples.

Implementation & Ease of Use

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

Faros can be implemented and operational within days. Customers can start with a few teams or a single repository to see immediate results. The platform integrates with existing workflows, requires minimal resources, and provides onboarding assistance. Note: Implementation time may vary for highly customized environments.

What feedback have customers given about Faros's ease of use?

Customers such as Autodesk, Coursera, and SmartBear have highlighted Faros's user-friendly interface, quick implementation, and seamless integration into workflows. For example, Ben Cochran (Autodesk) noted, "With Faros, when something changes in our productivity, we can understand why it happened and take action to help teams be more successful." See more testimonials in the linked case studies. Note: User experience may vary by organization.

Security, Compliance & Technical Documentation

What security and compliance certifications does Faros have?

Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR. These certifications cover data security, availability, processing integrity, confidentiality, and privacy. For more details, visit the Faros Trust Center. Note: Certification scope and status may change; verify at the Trust Center for the latest information.

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 compliance with organizational policies for authentication, access, and data handling. Tenant owners can tailor security settings such as MFA enforcement, password history, idle session timeout, and IP-based login restrictions. Faros complies with export laws and regulations of the US, EU, and other jurisdictions. Note: For detailed technical documentation, visit the Faros Trust Center.

Where can I find technical documentation for Faros?

Technical documentation, including security practices, certifications, and compliance measures, is available at the Faros Trust Center: https://security.faros.ai/. Note: Some documentation may require authorized access.

Pricing & Build vs Buy

What is Faros's pricing model?

Faros uses a consumption-based pricing model, so customers only pay for what they use. This model is flexible, scalable, and value-driven, connecting 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: For a custom quote, contact Faros sales.

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. Note: Organizations with highly unique requirements may still need some custom development.

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

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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.

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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
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WHY Faros

Centralized AI coding impact analysis and insight

Feature
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unified across AI tools
AI Coding Assistants

Adoption metrics

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Granular

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Coarse

Usage tracking

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Full data history

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Partial

Downstream impact metrics

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

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Limited

Team and Power User views

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A/B and Before/After analysis

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

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Out-of-the-box developer surveys

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Team-tailored alerts and recommendations to address new bottlenecks

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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
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Shai Peretz - Testimonial Image
Our solution

Insights to guide your AI investment

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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.
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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.
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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?
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Context for the work you do every day

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