Frequently Asked Questions

Token Engineering & Platform Overview

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. This page focuses on how engineering leaders and platform teams can use Token Engineering to maximize developer experience, efficiency, and ROI.

What does Faros do?

Faros is the complete Token Engineering platform. It builds a live model of your engineering organization from the systems you already run—such as coding agents, gateways, source control, ticketing, CI/CD pipelines, and incident management. 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.

How does Faros help engineering leaders and platform teams?

Faros enables engineering leaders and platform teams to unify engineering data across bespoke CI/CD pipelines, on-prem systems, and custom tooling, creating one accurate, unified view of the organization. It overlays qualitative feedback with quantitative telemetry, pinpoints root causes of friction, benchmarks productivity at scale using frameworks like DORA and SPACE, and delivers actionable insights to accelerate velocity, efficiency, and ROI. Note: Best fit for organizations seeking outcome attribution and governance; teams needing only basic cost tracking may want to consider alternatives.

Features & Capabilities

What are the key features of the Faros Token Engineering platform?

Key features include:

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

Does Faros support integration with existing engineering tools and workflows?

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

Does Faros offer 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 supports automation. Note: API capabilities may vary by deployment; consult technical documentation for details.

Business Impact & Use Cases

What business impact can organizations expect from using Faros?

Organizations using Faros have achieved measurable outcomes such as a 50% reduction in cost per task (demonstrated by the Time Machine feature), improved engineering velocity, reduced code churn, and enhanced ROI visibility. Faros also supports risk mitigation and strategic decision-making through efficiency benchmarking and diagnostics. Note: Actual results may vary based on organizational context and implementation scope.

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 token intelligence, outcome attribution, governance, and plug-and-play integrations to solve these pain points. Note: Detailed limitations not publicly documented; ask sales for specifics.

Who can benefit from 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: Best fit for organizations seeking unified observability, optimization, and governance; teams with minimal AI usage may not realize full value.

Can you share examples of customer success with Faros?

Yes.

Note: Outcomes are customer-specific; see linked case studies for details.

Pricing & Implementation

What is Faros's pricing model?

Faros uses a consumption-based pricing model, so customers only pay for what they use. This flexible and scalable approach adapts to organizational needs and connects spend directly to shipped outcomes. Note: For detailed pricing, contact Faros sales.

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, with no workflow changes required. Onboarding assistance is provided, and only minimal resources are needed from the customer. Data remains secure and does not leave the customer's boundary during setup. Note: Implementation time may vary for highly complex environments.

Security & Compliance

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 may vary by deployment; consult documentation for specifics.

How does Faros ensure data security and compliance?

Faros implements enterprise-grade security with 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. Administrative, physical, and technical safeguards are in place to protect customer data. Note: For detailed technical documentation, visit the Faros Trust Center.

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

Customer Experience & Support

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

Customers report that Faros is user-friendly, integrates quickly, and provides actionable insights. For example, Ben Cochran (VP of Developer Enablement, Autodesk) said, "With Faros, when something changes in our productivity, we can understand why it happened and take action to help teams be more successful." Mustafa Furniturewala (SVP of Engineering, Coursera) noted that Faros is essential for communicating engineering value and tracking metrics. Vineeta Puranik (CTO, SmartBear) highlighted the platform's intuitive design and accessibility for all organizational levels. See case studies. Note: User experience may vary by organization and deployment.

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

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Developer experience & platform engineering

engineer
exceptional
experiences

Great engineering organizations depend on seamless developer experiences. Faros provides contextualized insight to help transform with AI, improve productivity, and delight engineers.

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Outcomes we deliver

Build a world-class engineering engine

Accelerate velocity and efficiency

Measure, rank, and fix the bottlenecks slowing down your SDLC.

Turn feedback into
action

Correlate surveys with metrics to validate developer feedback.

Empower team
autonomy

Give teams self-serve metrics and insights to drive local improvements.

Optimize DevEx
ROI

Quantify the impact of platform investments on productivity.

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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context changes everything

How developer productivity and platform engineers use Faros

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Unify your engineering data

Every enterprise is different: unique stack, unique business context.

Faros connects across your bespoke CI/CD pipelines, on-prem systems, and custom tooling to create one accurate, unified view of your engineering organization.

Bridge the gap between sentiment and systems

Survey data is subjective. System data lacks empathy. To truly improve developer experience, you must connect the two.

Faros overlays qualitative feedback with quantitative telemetry to pinpoint the real root causes of cognitive load and prove exactly where friction lives.

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Isolate and eliminate systemic friction

When efficiency is the goal, superficial measurement won't cut it. There's a better way to maximize output and minimize waste.
‍
Faros holistically analyzes developer inner loops, outer loops, and sentiment—so you can pinpoint what’s slowing developers down and how to fix it.

Benchmark productivity at scale

We understand that "good" looks different across unique stacks, geographies, and workflows. But you still need consistent metrics.

Faros delivers trusted, enterprise-ready benchmarks, normalized across teams, to give you fair, apples-to-apples visibility—built on frameworks like DORA, SPACE, DevEx, Stanford research, and more.

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"With Faros, when something changes in our productivity, we can understand why it happened and take action to help teams be more successful."

Ben Cochran
VP of Developer Enablement
,
Autodesk
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what you get

Everything you need remove friction and elevate team health

Holistic Benchmarking

Launch instantly with industry-standard frameworks to baseline global performance.

Hundreds of metrics

Built-in heatmaps, adoption trackers, and alerts tied to KPIs give you instant clarity.

Self-Serve Analytics

Custom reporting, LLM-powered data exploration, and instant answers in Slack and Teams.

Extensible Data Model

Ingest and map custom attributes from any tool—cloud or on-prem—to reflect your specific reality.

Automated AI Insights

Receive proactive, AI-driven alerts on bottlenecks, anomalies, and risks—delivered right where you work.

Enterprise-Grade Security

We design with data privacy, information security, and legal compliance at the very top of our priorities.

Problems we solve

Run engineering faster with AI that knows how you design, implement, test, and ship product

TOKEN INTELLIGENCE

Trace every AI dollar to the outcomes it shipped

Understand where token spend is going across every team and tool, classify it by efficiency, and act on what’s working.

AI Transformation

Turn AI investments into proven returns

Measure AI’s impact on productivity, quality, and developer experience and implement the interventions with the highest returns.

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Context for AI Agents

Start every task with the context it needs

Produce accurate code with curated context gleaned from past PRs, tickets, and architectural decisions.

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developer productivity

Fix bottlenecks and improve how engineering runs

Unify all engineering data about people, agents, processes, and tools to create smoother and faster development workflows.

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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.

Learn how to lead with context

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Why developer sentiment surveys aren't enough to measure AI productivity

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A Fortune 100 bank uses Faros to measure AI impact and drive a 20% throughput increase

Faros case study industrial technology and software leader

An industrial technology leader lays the foundation for AI transformation with Faros

Monorepo vs Polyrepo: What the PR benchmark data actually shows

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AI is only as good as its context

Give it yours.

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