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 Hubble release advances Token Engineering by providing new ways to measure, optimize, and govern AI coding impact at scale.

Faros is the complete Token Engineering platform. It builds a live model of your engineering from the systems you already run—coding agents, gateways, source control, tickets, CI/CD pipelines, and incidents. 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, connecting spend to shipped outcomes and providing actionable insights for engineering leaders. Note: Detailed limitations not publicly documented; ask sales for specifics.

Why is Faros a credible authority on Token Engineering and AI coding impact?

Faros created the Token Engineering category and platform, introducing the discipline in September 2026. The platform is built on data from tens of thousands of developers and extensive operational fieldwork with CTOs and AI leaders. Faros's research, including the AI Engineering Report 2026, covers two years of data from 22,000 developers across 4,000 teams, making it a trusted source for measuring and improving AI engineering outcomes. Note: For the most up-to-date research, visit https://www.faros.ai/research/ai-acceleration-whiplash.

What are the key features introduced in the Hubble release?

The Hubble release introduces several major features: GAINS™ (Generative AI Impact Net Score), one-click analytics for Cursor, documentation insights, Snap. Spot. Act. weekly summaries, and a 100x event processing engine for XXL enterprises. Note: Some features may require integration with specific tools or platforms; check documentation for compatibility.

What is documentation insights and how does it benefit engineering teams?

Documentation insights is a feature in Faros that integrates with Google Drive, Office 365, Notion, and Confluence to analyze engineering documentation. It surfaces analytics on contributions beyond code, such as architecture docs, PRDs, incident rulebooks, and post-mortems. Teams can answer questions like how documentation affects MTTR, who contributes most, and where documentation responsibilities are concentrated. Note: Requires integration with supported documentation platforms.

How does Faros help with weekly engineering performance tracking and recommendations?

Faros's Snap. Spot. Act. feature delivers weekly summaries of key engineering metrics, highlights, and actionable recommendations directly to users' inbox, Slack, or Teams. Snap provides a snapshot of performance, Spot summarizes changes and trends, and Act offers practical next steps. This helps teams move from tracking metrics to taking action. Note: Recommendations are based on available data; incomplete integrations may limit insights.

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, incident management tools, and documentation platforms like Google Drive, Office 365, Notion, and Confluence. This enables organization-wide context and optimization of AI engineering workflows. Note: Integration availability may vary by platform; check the Faros Security & Trust Center 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. The API supports integration with over 60 engineering data sources. Note: API usage may require appropriate permissions and security configurations.

What problems does Faros solve 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. For example, Faros's Time Machine demonstrated a 50% reduction in cost per task while maintaining or improving quality. Note: Effectiveness depends on integration depth and data quality.

What business impact can customers expect from using Faros?

Customers can expect cost optimization (e.g., 50% reduction in cost per task), improved engineering efficiency, enhanced ROI visibility, risk mitigation, strategic decision-making, and maximized outcomes per dollar. These impacts are supported by customer case studies from Autodesk, Coursera, and SmartBear. Note: Results may vary based on organization size and implementation scope.

Who uses Faros and in which industries?

Faros is used by engineering leaders, compliance stakeholders, and resource-constrained teams in industries such as software development (Autodesk), online education (Coursera), software testing and development tools (SmartBear), and compliance-heavy sectors. Note: Faros is best fit for organizations seeking measurable engineering outcomes and compliance; teams with highly specialized, non-standard workflows may require custom evaluation.

Can you share specific customer success stories with Faros?

Yes. Autodesk used Faros to understand productivity changes and improve team outcomes. Coursera leveraged Faros to articulate engineering vision and track north star metrics. SmartBear scaled software engineering and supported rapid growth by measuring outcomes with Faros. Note: Individual results may vary; see linked case studies for details.

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 to get started, and provides onboarding assistance. Data remains secure and does not leave the customer's boundary during setup and usage. Note: Implementation time may vary for complex environments; contact Faros for a tailored estimate.

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

Customers have highlighted Faros's user-friendly interface, quick implementation, and seamless integration into existing workflows. For example, Ben Cochran (Autodesk) noted Faros's actionable insights, Mustafa Furniturewala (Coursera) praised its clarity for executive buy-in, and Vineeta Puranik (SmartBear) emphasized its intuitive design for all organizational levels. Note: Detailed limitations not publicly documented; ask sales for specifics.

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: Certification scope and coverage may vary; review documentation for specifics.

What security and compliance features does Faros provide?

Faros offers enterprise-grade security with granular access control, secure deployment options (SaaS, hybrid, or on-premises), custom security policies (MFA enforcement, password history, idle session timeout, IP-based login restrictions), and compliance with export laws. Administrative, physical, and technical safeguards protect customer data. For detailed documentation, visit the Faros Trust Center. Note: Some features may require configuration by tenant owners.

Where can I find technical documentation for Faros?

Technical documentation, including security practices, certifications, and compliance measures, is available at the Faros Trust and Security Documentation Page. Note: Access to some documentation may require appropriate credentials.

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. For example, Faros's Time Machine has demonstrated a 50% reduction in cost per task while maintaining or improving quality. Note: For detailed pricing, 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: Teams with highly unique requirements may still need custom extensions.

Measure, Unblock & Accelerate AI Engineering Impact - Hubble Release

The next leap in AI-driven engineering productivity

Engineering teams are racing to adopt AI tools, but translating individual productivity boosts into organization-wide outcomes remains elusive. That’s why this quarter’s Faros release is all about turning scattered gains into scalable, measurable impact. We’ve focused on surfacing the invisible, guiding action, and unlocking performance at enterprise scale.

This quarterly product release is named for American astronomer Edwin Hubble, who confirmed one of the greatest scientific discoveries of the 20th century, that the universe is expanding. Fun fact: The Hubble Space Telescope has been exploring the cosmos longer than many software engineers have been alive. With the average engineer now in their late 30s to early 40s, Hubble’s career in space rivals even the most seasoned among us.

Over the past 35 years, Hubble’s ongoing in-space servicing has transformed it from a remarkable telescope into a generative powerhouse of scientific discovery. With the Hubble release, we’ve set out to do the same for engineering organizations - equipping them to evolve into AI-native innovation engines.

Here are the highlights of the Hubble release:

The Generative AI Net Impact Score, GAINS™. A data-driven score and framework for improving AI productivity gains quarter over quarter.
One-click Cursor analytics. A simple token is all you need to understand how this popular IDE impacts developer productivity.
Introducing documentation insights. Developers do more than code; it’s time to measure and appreciate those contributions.
Snap. Spot. Act. Weekly summaries with a built-in consultant. Your updates now include metrics, the big takeaways, and recommendations on what to do next.
A 100x boost to event processing for the XXL enterprise. Discover our new cloud-agnostic high-performance architecture for the AI age.

Read on for more details.

Realize AI Productivity Wins with GAINS™, the Generative AI Impact Net Score

Our 2025 research found that while AI coding assistants increase an individual engineer's code contributions and task completion, the needle hasn’t moved on org-level engineering outcomes. Developers using AI completed 98% more code changes and 21% more tasks, but organizational metrics stayed flat—the AI Productivity Paradox. Our AI Engineering Report 2026 shows the stakes have risen: throughput gains are finally arriving at the organizational level, but so are incidents, bugs, and quality failures at a rate that is outpacing the gains. The problem still isn't the tools. It's the system around them.

That’s why we’re announcing GAINS™, the Generative AI Impact Net Score.

We harnessed the data learnings from tens of thousands of developers and extensive operational fieldwork with CTOs and AI leaders to develop a framework that can help unblock AI.

GAINS is based on ten critical dimensions of engineering operations that must evolve in order to deliver the AI payout: Adoption, velocity, efficiency, quality, safety, satisfaction, onboarding, platform maturity, organizational structure, and strategic alignment.

__wf_reserved_inherit — GAINS™ measures 10 dimensions critical to AI transformation

With Faros, you get your initial GAINS benchmark rapidly, establishing a clear, data-driven benchmark for engineering performance, and optionally re-measure every quarter. Between quarters, your team implements suggested improvements, guided by insights from the diagnostic. Every increase in your GAINS score reflects real, tangible improvements in your engineering outcomes, so progress isn't just aspirational, it's measurable.

To get started with GAINS, visit www.faros.ai/gains.

One-click analytics for Cursor

Evaluating the adoption, usage, and impact of Cursor just got easier. A simple token is all you need to get the data flowing into Faros and analyzed alongside data from all your other active coding assistants. Use these insights to benchmark and measure Cursor’s impact on productivity and developer sentiment.

Bonus: If you use Augment, you can easily drag-and-drop your usage stats into Faros for AI impact analysis.

Learn how to accelerate your AI transformation.

Introducing documentation insights: A well-rounded view of developer productivity

When we talk about developer productivity, we often narrow the focus to writing and fixing code, but that’s just part of the story. Senior developers, architects, and tech leads make massive contributions through documenting architecture, drafting PRDs, building incident rulebooks, and running post-mortems.

These context assets not only benefit peers and teams, but today they’re also vital to producing better AI agent outputs. And yet, they’re too often overlooked.

That’s why we’re excited to introduce documentation insights. Faros now integrates with Google Drive, Office 365, Notion, and Confluence to surface analytics from the documentation your teams create. These insights bring long-hidden contributions into sharp focus.

With documentation insights, you can finally answer questions like:

How does sparse documentation affect MTTR?
What is the task cycle time reduction when specs are richly detailed?
Which engineers, tech leads, and architects consistently update docs?
Who’s contributing the most valuable comments and edits?
Which roles are overloaded with documentation responsibilities?

These are the unsung drivers of productivity, now visible, measurable, and optimizable.

Weekly snapshots, highlights, and recommendations for results-driven enterprises

Tracking metrics is only the first step. The real value lies in knowing what to do next. But all too often, teams are left staring at dashboards asking: Now what?

That’s why we’re introducing Snap. Spot. Act. Once a week, Faros delivers a crisp summary of your key engineering metrics, accompanied by key takeaways, trend analysis, and detailed, tailored recommendations to help you take action.

Snap. Spot. Act. No setup required. Just insights, straight to your inbox, Slack, or Teams.

Snap: Get a weekly snapshot of your team’s performance

Spot: Read summarized highlights of what changed this week and emerging trends and hotspots

Faros AI delivers the key takeaways from your engineering metrics directly to Slack, Teams, or Inbox. — An example of "Spot", the key takeaways from this week's performance update.

Act: Get practical recommendations of what to do next

Recommendations for how to fix productivity issues identified by Faros AI. — An example of "Act", personalized recommendations on how to address performance issues.

Also: Built-in best practice workflows

In addition to weekly summaries, Faros users now benefit from out-of-the-box workflow automations that will instantly help improve engineering efficiency and team health:

Overdue code reviews: For PRs waiting too long for approval
Long cycle times: When tasks or PRs are taking longer than normal
Predicted delivery risks: If dates are forecast to slip based on say/do ratios and unplanned work
Too much context-switching: When developers are spread too thin and can’t focus

Software development event processing for the XXL enterprise

We're excited to unveil our next-generation event processing engine, built to meet the scale of XXL enterprises and accelerate innovation in the era of AI-powered development.

This powerful, cloud-agnostic architecture delivers a 100x performance boost, elevating how we process the constant stream of events that drive modern software workflows. From GitHub pull requests and Jira ticket updates to custom events tracking every build and deployment in your CI/CD pipeline, our new engine ensures unmatched speed, flexibility, and reliability.

What Hubble delivers

The Hubble release is built for engineering leaders ready to move beyond hype and unlock durable AI value. With GAINS™, we give you a score and framework to guide your transformation. With documentation insights, you finally capture the full scope of engineering contributions. With out-of-the-box automations, you close the loop between insight and action. And with our new event engine, you’re ready to scale all of it—fast.

To learn more or see these features in action, schedule your demo with a Faros expert today.

Frequently Asked Questions

Token Engineering & Faros Overview