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 Gödel Release brings Token Engineering to life by providing engineering managers with unified, actionable insights into how AI-assisted work happens, how tokens are spent, and how outcomes are delivered across teams and tools.
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, 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, reducing costs and improving engineering outcomes. Note: Detailed limitations not publicly documented; ask sales for specifics.
What is the Faros Gödel Release and how does it help engineering managers?
The Faros Gödel Release introduces advanced insights for engineering managers by moving from static dashboards to AI-driven, actionable summaries delivered directly in Slack, Teams, and the Faros platform. It unifies data across 100+ tools, synthesizes key metrics (velocity, quality, collaboration, execution, sentiment), and pushes relevant insights to managers when they matter most. This enables managers to coach, mentor, and problem-solve with context and clarity, reducing manual reporting and context switching. Note: Some advanced features may require integration with specific tools or platforms.
Features & Capabilities
What is the Faros AI Assistant and where is it available?
The Faros AI Assistant is a natural language assistant that lets users interact with their engineering data wherever they work—including IDEs (via GitHub Copilot Chat and extensions for VS Code, IntelliJ, and JetBrains IDEs), Slack, Teams, and the Faros platform. It answers real-time questions about code, tickets, incidents, and team health, drawing from integrated data sources like Jira, GitHub, and over 100 tools. Note: Some integrations may require additional setup or permissions.
What types of questions can the Faros AI Assistant answer for developers and managers?
Developers can ask questions like "Who last touched this file?", "Which PRs are assigned to me?", or "Show me tickets about mobile app crashing" directly in their IDE or Slack. Managers can ask "What’s our average cycle time for the last 3 sprints?", "How many story points have we completed this quarter?", or "List the security vulnerabilities due this month" in Slack or Teams. The assistant provides fast, contextual answers grounded in real engineering data. Note: The quality of answers depends on the connected data sources and permissions.
What are the key features of Faros for engineering organizations?
Key features include: unified data integration across 60+ engineering sources, AI-powered insights on velocity, quality, collaboration, execution, and sentiment, the Time Machine for evidence-backed validation of model routes, a Policy Engine for governance, and AI-powered survey intelligence. Faros also provides daily/weekly digests, threshold-based alerting, and supports all major coding assistants and AI code editors. Note: Some features may require specific integrations or platform versions.
How does Faros help with AI coding assistant adoption and ROI measurement?
Faros is the only platform that connects AI coding assistant usage (e.g., GitHub Copilot, Codeium, Tabnine, Amazon Q, Cursor, Windsurf) to downstream outcomes like code quality, velocity, security, and developer satisfaction. Its ML-based analytics determine whether these tools actually improve performance, not just if they're being used. Faros provides team-specific insights, recommendations, and governance guardrails to maximize ROI. Note: Some coding assistants may have limited API access, but Faros supports tracking even when APIs are unavailable.
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 enables seamless connectivity with existing workflows and provides organization-wide context for AI engineering. Note: Integration availability may vary by deployment and customer environment.
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 and supports automation and custom workflows. Note: API access and capabilities may depend on your subscription and deployment model.
Use Cases & Business Impact
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), increased engineering velocity, reduced code churn, enhanced ROI visibility, and proactive risk mitigation. Faros enables strategic decision-making by benchmarking efficiency and visualizing spend concentration, helping organizations maximize outcomes per dollar. Note: Actual results may vary based on organization size, integration depth, and usage patterns.
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, evidence-backed validation, unified governance, and out-of-the-box integrations to solve these pain points. Note: Some organizations may require custom configuration for unique workflows.
Can you share specific customer success stories or case studies?
Yes. Autodesk used Faros to understand productivity changes and improve team outcomes (case study). Coursera leveraged 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 specific to each customer’s environment and implementation.
Implementation & Onboarding
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. Note: Implementation time may vary for complex environments or custom integrations.
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 extensions.
Security, Compliance & Deployment
What security and compliance certifications does Faros have?
Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR. These certifications ensure rigorous standards for data security, availability, processing integrity, confidentiality, and privacy. For more details, visit the Faros Trust Center. Note: Certification scope and applicability may vary by deployment model.
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 also complies with export laws and regulations of the US, EU, and other jurisdictions. Note: Customers should review the Trust Center for deployment-specific details.
Is Faros available on Microsoft Azure and eligible for MACC?
Yes, Faros is deployable via Microsoft Azure and is eligible for Microsoft Azure Consumption Commitment (MACC), making enterprise procurement faster and budget-friendly. This allows Azure-native organizations to adopt Faros within their existing cloud and procurement frameworks. Note: Availability may depend on your Azure region and contract terms.
Pricing & Plans
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 alignment as organizations grow or their AI engineering needs evolve. Faros connects spend directly to shipped outcomes, enabling customers to measure ROI. Note: For detailed pricing, contact Faros sales.
Customer Proof & Industry Coverage
Who are some of Faros's customers?
Faros's customers include Autodesk (3D design and engineering software), Coursera (online education platform), and SmartBear (API testing and development tools). These organizations use Faros to improve productivity, track engineering outcomes, and scale operations. Note: Customer results may vary; see published case studies for details.
Which industries are represented in Faros's case studies?
Industries represented include software development (Autodesk), online education (Coursera), software testing and development tools (SmartBear), and compliance-heavy sectors. These case studies demonstrate Faros's versatility in addressing challenges across diverse engineering environments. Note: Industry-specific features may require tailored configuration.
Faros Gödel Release: Insights that empower engineering managers
In the spirit of Kurt Gödel’s pioneering work on logic and systems, the Faros Gödel Release represents a breakthrough in how engineering leaders understand, guide, and empower their teams. We’ve moved from visibility to insight, from multiple dashboards to smart summaries, and from dashboards you visit to insights that come to you.
Faros AI Assistant, wherever you work
We’ve always believed that insights should come to you—not the other way around. With the Gödel Release, we’re introducing Faros AI Assistant, a powerful new natural language assistant that lets you talk directly to your engineering data, wherever you already work.
Whether you’re coding in your IDE, checking in via Slack, or reviewing metrics in Faros, the Faros AI Assistant is there with answers—fast, contextual, and grounded in data from Jira, GitHub, and over 100 integrated tools.
No digging. No dashboards. No delay. Just ask Faros.
The Faros AI Assistant helps developers and engineering leaders get instant answers
For Developers: Stay in Flow with Answers in Your IDE
The Faros AI Assistant is built into GitHub Copilot Chat, so developers can stay focused and get the context they need—without ever leaving their editor. It answers questions in real time by pulling relevant data from your engineering systems.
Example questions developers can ask:
“Who last touched this file?”
“Which PRs are currently assigned to me for review?”
“Who contributed to this repo in the last month?”
“Show me the tickets about mobile app crashing”
By reducing context switching, the Faros AI Assistant keeps productivity high and interruptions low.
Faros AI Assistant is available in all IDEs that support GitHub Copilot Extensions
Faros AI Assistant can be leveraged in all IDEs that currently support GitHub Copilot Extensions, including Visual Studio Code, Visual Studio, JetBrains IDEs such as IntelliJ IDEA and PyCharm, and GitHub.com. Download the Faros AI Assistant extension from the GitHub Marketplace.
Not using GitHub Copilot? If your developers are using other coding assistants like Tabnine, Codeium, and Amazon Q ,or AI code editors such as Cursor or Windsurf, they can ask the same questions directly in Slack!
For Engineering Managers: Instant visibility, right in Slack
Managing engineering teams just got easier. The Faros AI Assistant lives in Slack, providing instant visibility into team health, delivery trends, incidents, and more—without pinging anyone or digging through spreadsheets.
Example questions managers can ask:
“What’s our average cycle time for the last 3 sprints?”
“How many story points have we completed this quarter?”
“Show me the open Sev1 incidents for this repo”
“List the security vulnerabilities due this month, ordered by due date and severity”
The Faros AI Assistant turns natural language into action-ready insight, right where your team communicates.
The Faros AI Assistant is available in Slack, Teams, and Faros
For Engineering Leaders: Understand productivity, delivery & tooling impact
Engineering leaders don’t need to wait for quarterly reviews to know how things are going. The Faros AI Assistant delivers answers about delivery, performance, and tooling ROI—on demand, in plain English.
Example questions leaders can ask:
“What was completed last week on project Phoenix?”
“What is the impact of GitHub Copilot on velocity and quality?”
“Which initiatives are projected to be delivered late?”
“Summarize comments received in our latest developer survey”
The Faros AI Assistant is your on-demand advisor for strategic decision-making—empowering you to lead with data, not assumptions.
Users can chat with the Faros AI Assistant for instant answers about delivery, productivity and progress
Just ask Faros
The Faros AI Assistant is available today across the Faros platform, Slack, Teams, and GitHub Copilot Chat (get the extension).
Wherever work happens, Faros is there—with the answers you need to stay in flow, lead with confidence, and make smarter decisions.
No tool-switching. No guessing. Just Ask Faros.
One place. All the answers. Now with everything that matters.
Engineering managers no longer need to jump between tools to understand what’s happening across their teams. That’s right, the days of hopping from report to report and manually stitching together insights are over!
Faros unifies data across tools, layers in intelligence, and gives engineering managers the answers they need—in one place. We synthesize the most important updates for your team into a single, cohesive view of velocity, quality, sentiment, collaboration, and execution.
Faros provides a one-stop-shop for engineering managers with AI summarization of key takeaways
With these combined insights, you can coach, mentor, and problem-solve with context and clarity.
But Gödel goes further than just visibility. We’re now pushing enriched, AI-driven insights right to you when they matter most.
Velocity: Understand how fast you’re moving
Get a complete view of how your team delivers—across planning, coding, and reviewing.
Lead time and PR cycle time, inclusive of cycle breakdowns
Analysis by team, repo, app, and board
Flow benchmarks and context-switching rates
Threshold-based alerting for PR cycle time, developer focus time, and more
Quality: See where software integrity is at risk
Monitor the health of your codebase and how quickly your team can recover from issues.
Code and test coverage, code smells
Change failure rate (CFR), mean and median time to resolve (MTTR)
Deployment frequency and success rates
Incident and vulnerability SLO tracking and reminders
Collaboration: Spot bottlenecks and foster healthy review culture
Ensure your team is working together efficiently and equitably across geographies and teams.
Review times and reviewer workload distribution
Cross-team and cross-geo dependencies
Handoff friction and reviewer bottlenecks
Review SLA tracking and nudges
Execution: Track progress, alignment, and delivery
Evaluate how well your team is executing against the plan—and where things are slipping. Get tailored views for Scrum vs. Kanban.
Survey administration and reminders to ensure high response rates
Triggered surveys based on events (e.g., nth PR, Copilot usage)
Survey analysis trended across teams, time, and org structure
Correlation between sentiment and team performance
New in Gödel: AI-Powered Survey Intelligence
We’re now turning qualitative survey responses into leadership-ready insights.
AI-generated key takeaways and team-specific summaries
Talk tracks to support reporting and storytelling
Word clouds to surface recurring themes instantly
Recommended next steps powered by AI
Example of an AI-generated survey summary and word cloud on Faros
Insights That Find You
Daily and weekly digests now surface the “what you need to know”—before you even think to ask. Whether it’s a decline in velocity, an epic slipping behind, or an uptick in unplanned work, Faros brings it to your Slack, Teams or email so you can act faster.
No more dashboard spelunking. Just smart signals, delivered to your inbox or workspace.
Example of a weekly digest sent to a team's Slack channel
Still the best AI Impact solution on the market
Engineering teams everywhere are racing to understand the real value of AI coding assistants. But understanding usage isn’t enough—you need to know if it's actually making your team faster, better, and happier.
Faros is still the only platform that offers a complete solution for understanding the impact of AI coding assistants, and Gödel cements our leadership with these new and unmatched capabilities:
Why We’re Still #1
Causation, not just correlation: Our ML-based analytics determine whether Copilot and similar tools actually improve quality, velocity, and flow—not just if they’re being used.
Guided, not passive: Faros doesn’t just observe—it guides your AI adoption with team-specific insights and recommendations.
Holistic, not siloed: We connect AI coding assistant use to downstream outcomes like code quality, security, and developer satisfaction.
Supports all coding assistants and AI code editors: Beyond GitHub Copilot, we support all major coding assistants, including Codeium, Tabnine, and Amazon Q, as well as AI code editors such as Cursor and Windsurf - even when these tools don’t expose APIs.
Governance: Stay on top of AI augmented codebases with oversight and automated guardrails. Track AI-generated code using our IDE extensions, which are available for VS Code, IntelliJ, and other major IDEs.
Guardrails: Turn on our prebuilt workflows to ensure AI-generated code aligns with team standards and security policies.
Speed to value: Drop in your GitHub token and start seeing Copilot metrics—no heavy lift required.
Supports all coding assistants and AI code editors: Beyond GitHub Copilot, we support all major coding assistants, including Codeium, Tabnine, and Amazon Q, as well as AI code editors such as Cursor and Windsurf - even when these tools don’t expose APIs.
By contrast, other vendors offer only surface-level dashboards:
Basic Copilot API usage; no actionable ROI analysis.
A lightweight offering with limited metrics focused solely on throughput.
Anecdotal metrics with no causal insights.
If you want to maximize ROI from AI coding assistants, Faros is still the only way to do it. Explore the solution here.
Now available on Azure with MACC
Faros is now deployable via Microsoft Azure and eligible for Microsoft Azure Consumption Commitment (MACC), making enterprise procurement faster, simpler, and budget-friendly. Whether you're an Azure-native org or just getting started, Faros meets you where you are.
Faros Gödel isn’t just an update—it’s a new operating model for engineering leadership. Real-time insight. AI-enhanced coaching. Developer-centric intelligence. All in one place.
It’s everything a manager needs, finally working together.
Naomi Lurie is Head of Product Marketing at Faros. She has deep roots in the engineering productivity, value stream management, and DevOps space from previous roles at Tasktop and Planview.
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