Frequently Asked Questions

Product Overview & Authority

What is Faros and what makes it a credible authority in AI engineering and developer productivity?

Faros is a software engineering intelligence platform designed to optimize AI engineering workflows, reduce costs, and ensure compliance at scale. Faros is recognized for pioneering AI impact analysis (launched October 2023), publishing landmark research such as the AI Engineering Report and the AI Productivity Paradox, and supporting over 22,000 developers across 4,000+ teams. Its platform is built on a live Engineering World Model, advanced causal analytics, and deep integration with engineering systems, making it a trusted authority for organizations seeking measurable improvements in engineering outcomes. Note: Faros is best suited for organizations with complex engineering workflows and compliance requirements; smaller teams with basic needs may find simpler tools sufficient.

Features & Capabilities

What are the key features of the Faros platform?

Faros offers several core features:

Note: Faros's advanced features may require integration with multiple engineering systems; organizations with limited tool diversity may not utilize the full platform.

How does Faros help reduce AI engineering costs and improve efficiency?

Faros reduces costs by identifying and eliminating token waste, such as spending on oversized models, retry loops, and unproductive work. Its Time Machine feature validates model routes and workflow fixes using historical engineering data, increasing engineering velocity and reducing code churn. Efficiency benchmarking tools help leaders visualize spend concentration and identify optimization opportunities. Note: Detailed cost savings depend on the organization's existing workflows and data quality.

What integrations does Faros support?

Faros integrates with over 60 engineering data sources, including builder desktops and agents, gateways, source control systems (GitHub, GitLab, Bitbucket), ticketing tools (Jira, Trello), CI/CD pipelines (Jenkins, CircleCI, Travis CI), and incident management platforms (PagerDuty, Opsgenie). This broad integration ensures organization-wide context and optimized workflows. Note: Some custom or proprietary tools may require additional integration effort.

Use Cases & Business Impact

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. For example, Faros's Time Machine reduced cost per task by 50% in an internal study, and customers like Autodesk and Coursera have used Faros to understand productivity changes and track engineering metrics. Note: The impact may vary based on the organization's size and complexity.

Who can benefit from using Faros?

Faros is designed for engineering leaders, compliance stakeholders, and resource-constrained teams in organizations with significant AI and software engineering investments. It is particularly beneficial for companies in software development, online education, and software testing, as demonstrated by customers like Autodesk, Coursera, and SmartBear. Note: Organizations without complex engineering workflows or compliance needs may not require Faros's full capabilities.

What business impact have customers achieved with Faros?

Customers have reported cost optimization (e.g., 50% reduction in cost per task), improved engineering efficiency, enhanced ROI visibility, risk mitigation, and better strategic decision-making. For example, Autodesk used Faros to understand productivity changes, Coursera to track engineering metrics, and SmartBear to ensure resource usage and compliance. Note: Results depend on the organization's baseline and adoption of Faros's features.

Can you share specific customer success stories or case studies?

Yes.

Note: These results are specific to each customer’s context and may not be universally replicable.

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, with no required workflow changes. The platform integrates into existing workflows and provides onboarding assistance. Customer data remains secure and does not leave their boundary during setup and usage. Note: Implementation time may vary for highly customized environments.

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

Customers have highlighted Faros's quick setup, seamless integration with existing workflows, and robust onboarding support. They also appreciate that data security is maintained throughout the process. Note: Some organizations with highly unique workflows may require additional onboarding support.

Security & Compliance

What security and compliance certifications does Faros have?

Faros holds SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring rigorous standards for data security, availability, processing integrity, confidentiality, and privacy. For more details, visit the Faros Trust Center. Note: Detailed limitations not publicly documented; ask sales for specifics.

Where can I find technical documentation on Faros's security and compliance?

Faros provides detailed technical documentation on its security documentation page, covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint security, network security, corporate security, and security policies. Note: Some documentation may require authorized access.

Pricing & Plans

What is Faros's pricing model?

Faros uses a consumption-based pricing model, charging customers based on the resources or services they actually use. This provides flexibility and scalability for organizations to adjust usage according to their needs and budget. Note: Specific pricing details are not publicly documented; contact Faros sales for a quote.

Competition & Differentiation

How does Faros compare to DX, Jellyfish, LinearB, and Opsera?

Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways:

Note: Faros's advanced analytics may require more initial setup than basic dashboards; teams seeking only simple metrics may prefer lighter tools.

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

Faros provides 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 offers enterprise-grade security and compliance. Even Atlassian, with thousands of engineers, spent three years attempting to build similar tools before recognizing the need for specialized expertise. Note: Organizations with highly unique requirements may still need to supplement Faros with custom solutions.

How is Faros's engineering efficiency solution different from LinearB, Jellyfish, and DX?

Faros integrates with the entire SDLC, supports custom deployment processes, and generates metrics from the complete lifecycle of every code change. Competitors like Jellyfish and LinearB are limited to Jira and GitHub data and require specific workflows. Faros provides actionable, team-specific insights and recommendations, while competitors often offer static reports and require manual monitoring. Note: Faros's comprehensive approach may be more than required for teams with simple workflows.

Limitations & Considerations

What are the limitations or scenarios where Faros may not be the best fit?

Faros is best suited for organizations with complex engineering workflows, multiple data sources, and compliance requirements. Teams with very simple workflows, minimal compliance needs, or limited tool diversity may not require Faros's full capabilities. Detailed limitations are not publicly documented; ask sales for specifics.

RUN YOUR SOFTWARE FACTORY EFFICIENTLY

Stop token maxxing.
Start outcome maxxing.

Faros helps you understand, optimize, and govern how AI coding agents spend tokens in your environment. Reduce your cost per outcome shipped, while continuously improving your AI coding efficiency. 

MAXIMIZE YOUR AI CODING ROI

Stop token maxxing.
Start outcome maxxing.

Faros connects your AI coding spend to the outcomes it ships, routes each task based on evals built from your own code, and keeps usage in policy as you scale.

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THE WILD WORLD OF AI CODING AGENTS

Skyrocketing AI spend, uneven outcomes

Every builder now runs a fleet of coding agents. Every team is improvising on best practices, picking models on instinct and paying frontier prices for work that a cheaper route ships just as well. Every organization is building a software factory, but nobody is operating it like one.

Exploding token bills

Exploding token bills

Armies of agents default to the latest, costliest models.

Model route guesswork

Model route guesswork

Model prices vary by 10x, but nobody knows which is best.

Uneven results

Same tools, different results

AI budgets get devoured without uniform outcomes across teams.

WHAT IS FAROS

The complete token engineering platform

Faros orchestrates the tokens flow through your AI coding agents to minimize waste, maximize quality of output, and ensure compliance with organizational guardrails. It connects to your coding agents, harnesses, and engineering systems, and joins every session, commit, and PR into one live, reconciled model of your token flow. It mines your code history for the model routes and context that offer the best price/performance specific to your tasks. And then it enforces your approved model routes, budget controls, and compliance policies through a model router (your or ours).

Faros platform flow: spend, AI work, commit, PR, outcomeFaros platform flow: spend, AI work, commit, PR, outcome

Cut token waste

Stop spending on oversized models, retry loops, and work that never ships.

Increase velocity

Complete more coding tasks, with precision context and fewer prompts.

Reduce code churn

Ship agent code that provides human-grade quality and holds up in review.

Minimize risk

Keep teams on approved models and budgets, and capture full audit trails.

OUR SECRET SAUCE

Data, decisions, and outcomes you can trust

Faros is a closed-loop system for AI coding work that measures what your AI engineering produces and feeds it back into the next routing decision. Unlike general purpose solutions, Faros gives you a complete picture of your AI work and its outcomes, and uses patent-pending evaluation methods to implement optimizations contextual to your environment, giving you observability, optimization, and governance, across all your AI coding efforts, in a single, scalable, trustworthy platform, with data you can rely on, and decisions that maximize outcomes in your environment.

Engineering world model: attribution, analytics, actions, eng, ops, tokens

AI engineering world model

An exhaustive graph, built on your own live data, that tracks your AI coding work with precision, so you can attribute token usage to verified outcomes with high trust.

Time machine: merged PR replayed and scored

Time machine

A proprietary evaluation engine that leverages your own code history to pinpoint model routes that produce the best code at the lowest cost, validated on your organization's real work.

TRUSTED BY THE WORLD'S TOP TEAMS

Advancing those who build

"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
Smiling man with a beard and medium-length hair, featured on the Faros AI website.
Smiling man with a beard and medium-length hair, featured on the Faros AI website.

“Faros has become essential in communicating our value clearly and securing buy-in at the executive level. Today, I articulate our engineering vision and track north star metrics seamlessly.”

Mustafa Furniturewala
SVP of Engineering
,
Coursera
Smiling young man in a polo shirt, representing the approachable team culture at Faros AI on their website.
Smiling young man in a polo shirt, representing the approachable team culture at Faros AI on their website.

"The data in Faros is so good that whether my CEO looks at it or a team member looks at it, it's not an issue. I use the insights to make sure we're using our resources effectively."

Vineeta Puranik
Chief Technology Officer
,
SmartBear
Portrait of a woman with shoulder-length hair wearing a floral blouse, representing the team on the Faros AI website.
Portrait of a woman with shoulder-length hair wearing a floral blouse, representing the team on the Faros AI website.

Stop token maxxing.
Start outcome maxxing.

Run it live in your own org. Work with us to measure what your AI coding ships, and determine which models work best on your codebase.

LATEST UPDATES

What’s new at Faros

Research

The Speed Trap: 8 takeaways from our latest AI engineering research

AI made software development faster, but review gaps, QA bottlenecks, and rising incident volume reveal a new risk: the Speed Trap.

AI Industry

What is a software factory? How it works

Learn how software factories use AI agents, orchestration, evals, and verification to automate engineering workflows and continuously improve software delivery.

AI Industry

How to track AI coding costs across teams

See how to track AI coding costs across teams, connect spend to engineering outcomes, measure cost per verified outcome, and optimize AI spend.