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 developer story on this page illustrates how Token Engineering transforms manual, error-prone reporting into automated, data-backed insights for engineering teams of all sizes.
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 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.
How does Faros help engineers and teams answer common questions about their work?
Faros connects data from all your engineering systems, allowing engineers and teams to quickly answer questions like "What has the team been working on?", "What will be released next week?", and "What did I miss while I was gone?" Instead of manually piecing together information from Jira, GitHub, and build tools, Faros provides a unified dashboard that breaks out work by type and epic, highlights incidents, and shows the impact of changes. Note: Faros requires integration with your existing engineering tools for full visibility.
Features & Capabilities
What are the key features of Faros?
Key features of Faros include:
Engineering World Model: Connects tickets, agent sessions, commits, pull requests, and CI verdicts into a live graph for real-time attribution.
Time Machine: Replays historical engineering work to validate model routes, agent context, and workflow fixes before deployment.
Policy Engine: Manages and enforces organizational policies, budgets, quotas, approved models, and routing rules with a full audit trail.
Integration with 60+ engineering data sources: Including source control, ticketing, CI/CD, incident management, and more.
Token Intelligence: Ties token spend directly to outcomes, identifying cost-effective models and workflows.
Note: Some advanced features may require specific integrations or configuration.
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 over 60 engineering data sources, supporting seamless connectivity with your existing workflows and tools. Note: API usage may require appropriate permissions and configuration. Learn more.
What integrations does Faros support?
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 broad integration enables organization-wide context and optimization of AI engineering workflows. Note: Integration availability may depend on your existing tool stack. See full list.
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 demonstrated a 50% reduction in cost per task while maintaining or improving quality. Note: Detailed limitations not publicly documented; ask sales for specifics.
What business impact can customers expect from using Faros?
Customers can expect measurable cost optimization (e.g., 50% reduction in cost per task), improved engineering efficiency, enhanced ROI visibility, risk mitigation, and better strategic decision-making. Faros enables organizations to maximize outcomes per dollar and operate with confidence in compliance-heavy industries. Note: Actual results may vary by organization and implementation scope.
Who uses Faros? What industries and roles benefit most?
Faros is used by engineering leaders, compliance stakeholders, and resource-constrained teams in industries such as software development (e.g., Autodesk), online education (e.g., Coursera), software testing and development tools (e.g., SmartBear), and compliance-heavy sectors. It is designed for both large enterprises and smaller teams needing visibility, optimization, and governance of AI engineering workflows. Note: Best fit for organizations with complex engineering environments; teams with minimal AI usage may not realize full value.
Can you share specific customer success stories with Faros?
Yes.
Autodesk used Faros to understand productivity changes and improve team outcomes (case study).
Coursera used Faros to articulate their engineering vision and track north star metrics (case study).
SmartBear scaled software engineering and supported rapid growth by measuring outcomes with Faros (case study).
Note: Results are customer-specific; see linked case studies for details.
Implementation & Ease of Use
How long does it take to implement Faros? 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 secure and does not leave your boundary during setup. Note: Implementation time may vary based on organization size and integration needs.
What feedback have customers given about the ease of use of Faros?
Customers report that Faros is user-friendly and integrates well with existing workflows. For example, Ben Cochran (Autodesk) said Faros enables understanding productivity changes and taking action; Mustafa Furniturewala (Coursera) highlighted its role in communicating engineering value; and Vineeta Puranik (SmartBear) noted its intuitive design for all organizational levels. See case studies. Note: User experience may vary by organization.
Security, Compliance & Trust
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 applicability may vary; see Trust Center for specifics.
How does Faros ensure data security and compliance?
Faros provides 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 (e.g., MFA enforcement, password history, idle session timeout, IP-based login restrictions). Faros implements administrative, physical, and technical safeguards and complies with export laws of the US, EU, and other jurisdictions. Learn more. Note: Some security features require configuration by tenant owners.
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. Pricing scales with actual platform usage, allowing flexibility and value-driven ROI. 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 custom extensions.
How Faros AI Makes My Job Easier: A Developer's Story
As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Read this post to learn more about how I leverage Faros AI to make my job easier.
How Faros AI Makes My Job Easier: A Developer's Story
As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Read this post to learn more about how I leverage Faros AI to make my job easier.
As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Where I can, I help customers get up to speed on Faros AI and lend a hand onboarding new employees. As time goes on, more and more of my time is spent tracking down answers. Some of the questions that come up regularly are:
What has the team been working on in the last month?
What is going out in the release next week?
What did I miss while I was gone?
Why am I getting so many pagerduty alerts? Is this normal?
What is too much time waiting for something to build?
Getting this Insight is Not Trivial
Without a connected platform like Faros AI, getting these answers involves some guess work and lots of time that I don’t have. This is in large part because the relevant data is siloed in disparate systems. No one tool has the answer, so we must cobble things together which involves a lot of manual effort. This quickly becomes redundant, boring work that is error prone. Let’s take the first two questions above as examples.
Going into a retro meeting, we often ask: “What did we work on?” Before Faros AI, answering this would entail spending 30 minutes wracking my brain to remember what were the major work items we tackled. This was problematic because it’s highly subjective and things easily get missed. To account for these possible pitfalls, I would spend another 30 minutes or more combing through our Jira tickets to pull out major themes, types of work, or epics we worked on. Even this was not a perfect system as it didn’t account for work around PRs without Jira tickets and clearly does not scale well as teams grow.
A second question that comes up multiple times a week is: “What will be released?” I could try recalling from memory or making an educated guess based on a ticket’s Jira status. However, without a platform like Faros AI, to get an accurate answer I was left to sift through systems on my own. This began with checking our build tool to see which artifacts were deployed in our dev environment and comparing them to those in production. Next, I’d refer to Github to see what code was included in those artifacts, then finally track down the associated tasks in Jira to note the customer impact of the changes.
How I Leverage Faros AI
With Faros AI, I have the opportunity to answer these questions with data. Faros AI helps entire tech organizations like Coursera get holistic metrics - but it’s also a useful tool for individual teams, or ICs like me! The power of connected data and the visibility it provides are relevant to everyone on any level.
Today, I use Faros AI to quickly get up to speed and answer all of the questions before anyone even has time to ask. In a single view I can see:
What have we worked on?
What things will be released and what will the impact be?
The dashboard breaks out the work by type and epic, highlights any incidents, and includes an overview of how the work contributed to larger epics. I can also see a list of the most active tickets and PRs, a list of all the features and services getting shipped.
The insights above are only possible because Faros AI connects all your data systems.
Faros AI Scales With You
The above few examples are just the beginning. Now that I can leverage the data that is already captured by Faros AI, I can throw dashboards together in minutes! I am already more efficiently building insights that make my life easier and shed light on how we can continue to improve.
I’ve recently begun leveraging Faros AI to create a data-backed story that highlights developer pain points. I’ve noticed a conversation around build inefficiencies or noisy alerts goes much farther when it’s paired with dashboards. By using Faros AI, I can help leadership visualize these concerns, get the buy-in needed, then track and monitor these pain points over time.
This chart highlights how policy changes impacted our on call experience.
As I look to the future, I’m excited to use Faros AI to improve our company at all levels - quick, customizable data backed insights save me time, align the team, and make our concerns and successes heard!
Conclusion
The power of Faros AI comes from its flexibility; it works for all types of data, all types of questions, all types of roles. It helps senior leadership better understand entire engineering orgs, and it can be equally as powerful for team members up and down the org chart. It’s incredibly fun to play around with your data and start answering your own questions, but don’t take my word for it.
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