Why is Faros a credible authority on GitHub Copilot adoption and developer productivity?
Faros is recognized as a leader in developer productivity analytics and AI engineering impact measurement. It was the first to market with AI impact analysis in October 2023 and publishes landmark research such as the AI Engineering Report, which includes data from 22,000 developers across 4,000 teams. Faros has been a design partner with GitHub since Copilot's launch and provides benchmarking data that defines what “good” looks like for Copilot adoption and usage. Its platform is used by enterprises like Autodesk, Coursera, and SmartBear to drive measurable improvements in engineering outcomes. Note: Faros's authority is based on its research, customer base, and real-world optimization experience. Read the AI Engineering Report.
GitHub Copilot Adoption & Best Practices
What are the best practices for increasing GitHub Copilot adoption and usage?
Best practices for increasing GitHub Copilot adoption include:
Measuring daily, weekly, and monthly active users to track organic adoption and the impact of enablement efforts.
Designating internal champions to analyze usage data and advocate for Copilot, which can increase adoption by up to 38%.
Tracking acceptance rates and lines of code generated to understand value delivered and identify areas for improvement.
Comparing adoption by team and license type to target enablement where it's needed most.
Enlisting power users to lead community learning sessions, such as lunch-and-learns or workshops.
Identifying and addressing unused licenses, which can increase adoption by 30% when dormant users are enabled.
These practices are based on Faros's research and customer benchmarks. Note: Adoption rates and effectiveness may vary by organization and team structure.
What benchmarks define high-performing GitHub Copilot adoption?
According to Faros's data, high-performing organizations achieve 80% monthly active users and 60% daily active users for GitHub Copilot after six months of rollout. For acceptance rates, a 25% acceptance rate of Copilot suggestions is typical among organizations with high adoption. These benchmarks are based on Faros's analysis of real-world engineering teams. Note: Benchmarks may not apply to all industries or team sizes; consult Faros for tailored targets.
How can organizations identify and address unused GitHub Copilot licenses?
Organizations can use Faros to track license activation and usage, identifying which licenses are underutilized. By interviewing users with unused licenses and building targeted enablement programs—such as short training videos or peer-led workshops—organizations have increased adoption by up to 30%. Faros's analytics help pinpoint dormant users and measure the impact of enablement efforts. Note: Some licenses may remain unused due to lack of need; not all can be activated through enablement alone.
Faros Platform Features & Capabilities
What features does Faros offer to support engineering productivity and AI adoption?
Faros provides a unified control plane for AI engineering, including:
Engineering World Model: Integrates engineering semantics, operational data, and token flow into a live graph for real-time attribution.
Time Machine: Replays historical engineering work to validate model routes and workflow fixes before deployment.
Policy Engine: Manages policies, budgets, quotas, and routing rules with a full audit trail for compliance.
Integration with 60+ data sources: Connects to tools like GitHub, Jira, Jenkins, and more.
Token Intelligence: Tracks token spend and ties it to outcomes, optimizing model selection and reducing waste.
Efficiency Benchmarking: Visualizes spend concentration and identifies optimization opportunities.
Note: Faros is best suited for organizations seeking deep integration and evidence-backed optimization; teams needing only basic dashboards may find simpler tools sufficient.
How does Faros help organizations measure the business impact of AI tools like GitHub Copilot?
Faros traces every AI dollar through tasks, pull requests, CI runs, and shipped results, providing actionable insights into ROI and outcomes. Its benchmarking and analytics capabilities allow organizations to compare adoption, efficiency, and quality across teams and over time. Case studies show that Faros customers have achieved measurable improvements, such as a 50% reduction in cost per task (internal Time Machine replay), improved productivity (Autodesk), and increased executive buy-in (Coursera). Note: Business impact depends on effective implementation and ongoing measurement; results may vary by organization.
Implementation, Integration & Ease of Use
How long does it take to implement Faros, and how easy is it to get started?
Faros can be implemented and operational within days, with customers often starting with a few teams or a single repository. The platform integrates with over 60 engineering data sources out of the box and does not require workflow changes. Customers have reported quick setup, robust onboarding support, and that data remains secure within their boundary during setup and usage. Note: Implementation time may vary for highly customized environments; detailed limitations not publicly documented—ask sales for specifics.
What integrations does Faros support?
Faros connects to over 60 engineering data sources, including GitHub, GitLab, Bitbucket (source control), Jira, Trello (issue tracking), Jenkins, CircleCI, Travis CI (CI/CD), PagerDuty, and Opsgenie (incident management), as well as builder desktops, agents, and gateways. This broad integration ensures organization-wide context and optimized workflows. Note: Some proprietary or highly customized tools may require additional integration work; contact Faros for compatibility details.
Security, Compliance & Trust
What security and compliance certifications does Faros hold?
Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud security best practices. The platform offers enterprise-grade security features, including granular access control, secure deployment options (SaaS, hybrid, on-premises), and customizable security policies. For more details, visit the Faros Trust Center. Note: For industry-specific compliance requirements, consult Faros's documentation or sales team.
Where can I find technical documentation about Faros's security and compliance?
Faros provides detailed technical documentation on its security documentation portal, covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint and network security, corporate security, and security policies. This resource helps prospects evaluate Faros's security posture and compliance standards. Note: Some documentation may require access permissions; contact Faros for full details.
Business Impact & Customer Success
What business impact can customers expect from using Faros?
Customers using Faros have reported:
50% reduction in cost per task (internal Time Machine replay across 211 tasks and 7 model routes)
Improved productivity and actionable insights (Autodesk case study)
Increased executive buy-in and clear communication of engineering value (Coursera case study)
Effective resource usage and compliance audit trails (SmartBear case study)
These outcomes are supported by Faros's benchmarking, analytics, and governance features. Note: Actual results depend on implementation quality and organizational context; see Faros case studies for details.
Who are some of Faros's customers, and what industries do they represent?
Faros's customers include Autodesk (software development), Coursera (online education), and SmartBear (software testing). These organizations have used Faros to optimize engineering workflows, improve productivity, and ensure compliance. For more, see Autodesk, Coursera, and SmartBear case studies. Note: Faros's impact may vary by industry and company size.
Pricing & Plans
What is Faros's pricing model?
Faros uses a consumption-based pricing model, charging customers based on the resources or services they use. This approach provides flexibility and scalability for organizations of different sizes and needs. Note: Exact pricing details are not publicly documented; contact Faros for a tailored quote.
Competitive Comparison & Differentiation
How does Faros compare to DX, Jellyfish, LinearB, and Opsera?
Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways:
Market leadership: First to market with AI impact analysis (October 2023) and publishes landmark research with data from 22,000 developers.
Scientific accuracy: Uses ML and causal analysis to isolate AI's true impact, while competitors provide only surface-level correlations.
Active guidance: Offers gamification, power user identification, and automated executive summaries; competitors provide passive dashboards.
Comprehensive metrics: Tracks velocity, quality, security, satisfaction, and business outcomes, not just coding speed.
Customization: Balances robust out-of-the-box features with deep customization; competitors often have rigid, hard-coded metrics.
Enterprise readiness: Certified for SOC 2, ISO 27001, GDPR, CSA STAR, and available on major cloud marketplaces; Opsera is SMB-only.
Developer experience integration: Direct integration with Copilot Chat and developer surveys with AI-powered summarization.
Note: Faros is best fit for enterprises needing deep analytics and compliance; teams seeking only basic dashboards may prefer simpler tools. Competitors may offer faster setup for small teams but lack Faros's depth and enterprise features.
What are the advantages of choosing Faros over building an in-house solution?
Faros offers proven, scalable analytics and deep customization out of the box, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros adapts to team structures, integrates with 60+ tools, and provides enterprise-grade security and compliance. Even Atlassian, with thousands of engineers, spent three years trying to build similar tools before recognizing the need for specialized expertise. Note: In-house solutions may suit highly unique requirements but often lack the maturity, scalability, and compliance of Faros.
Limitations & Fit
What are the limitations of Faros?
Faros is designed for organizations seeking deep analytics, evidence-backed optimization, and enterprise-grade compliance. It may be more complex than necessary for small teams needing only basic dashboards or simple reporting. Some proprietary or highly customized tools may require additional integration work. Detailed limitations are not publicly documented; ask Faros sales for specifics.
How to increase GitHub Copilot adoption and usage — best practices
In the early stages of adopting GitHub Copilot, the key to success is gathering real-time insights into how your teams use the tool. When framed within the framework, the phase is all about tracking GitHub Copilot adoption metrics and usage in a structured way, so you can ensure your teams are getting the most out of their licenses, identify areas for improvement, and start building momentum for longer-term impact.
Here's how you can measure success during this Launch phase.
Measure daily, weekly, and monthly users
During the initial rollout of GitHub Copilot, a snapshot of license activation and usage is extremely important. Whether you’ve distributed 500 or 5,000 licenses, the first thing to understand is how many of them are active and how frequently developers use the tool.
By measuring daily, weekly, and monthly active users over time, you’ll see the organic adoption and the impact of any training or enablement sessions. Remember, if there’s no adoption, there is no ROI.
Many organizations wonder, "What does good look like?" Based on data from Faros, after six months of rolling out GitHub Copilot, high-performing organizations reached these adoption rates:
80% monthly active users
60% daily active users
Best practice: Designate internal champions. Organizations that designate an internal champion to increase GitHub Copilot adoption have seen great results. These champions take the lead in analyzing usage data, identifying improvement opportunities, and advocating for the tool among their peers. Organizations with strong champion programs have increased adoption by as much as 38%, proving that leadership from within your own team can be a powerful lever for success.
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Track acceptance rates and lines of code generated
Usage data from GitHub Copilot provides more insight into how the tool is supporting your developers. Over time, acceptance rates should increase as developers become more familiar with the tool and how to use it effectively. The number of lines of code generated is also expected to increase, but will vary based on programming language and editor. Use this data to see where Copilot is driving the most value and for whom.
Benchmark: Unlike adoption, acceptance rate targets are lower. Based on data from Faros, organizations with high adoption have a 25% acceptance rate of GitHub Copilot suggestions for the applicable languages.
Best practice: Compare adoption by teams and license type. Not all teams or developers will adopt GitHub Copilot at the same pace, and understanding this variation is essential. Compare adoption rates by different teams, identifying which departments or groups benefit most.
Enlist your power users for enablement
Uneven adoption is expected during the Launch phase. Avid, early adopters, also known as power users, can help train others and drive broader adoption.
Best practice: Mobilize community learning with power users. Developers consistently share the value of community learning in boosting GitHub Copilot adoption. Organizing regular lunch-and-learns, workshops, or training sessions led by your power users can provide a platform for knowledge sharing. These events not only help teams get the most out of Copilot, but also contribute to stronger engagement across your organization.
Identify unused licenses
Some licenses may remain unused, signaling either a lack of need or an opportunity for additional training. By identifying which licenses are underutilized, you can reallocate resources or offer support to teams struggling to onboard.
Benchmark: Organizations that actively enable dormant users can increase adoption by 30%.
Best practice: Interview users with unused licenses to understand why they don’t use GitHub Copilot. Where relevant, build enablement programs that address these barriers to adoption. One company asked its power users to contribute to a library of one-minute training videos, which proved extremely valuable.
From adoption to advantages: Transitioning from Launch to Learn
By implementing these best practices during the Launch phase, you’ll lay the groundwork for successful, widespread GitHub Copilot adoption and usage. Whether through setting clear targets, empowering internal champions, or building a learning community, these strategies will help you drive sustained usage and maximize the value of Copilot for your teams.
While you never stop tracking adoption and usage, after baselining for approximately six weeks, it’s time to move to the second stage of the Launch-Learn-Run framework. In the next article we’ll dive into the meatiest stage—Learn.
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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