To conduct a fair comparison, ensure the A and B groups are similar in makeup and representative of your typical teams. Choose members of the same team, working on similar tasks or projects, and of comparable seniority. Control for differences between teams (such as tech stacks or processes) for the clearest picture of a pair programming tool’s impact. Source
Compare head-to-head to identify the most effective tool, best-suited to your code and favored by your developers. Focus on adoption, satisfaction, time savings, and productivity gains. Source
Perform a comprehensive A/B test by comparing cohorts to measure productivity impacts. Measure and compare adoption and satisfaction, and observe the impact on velocity and code quality. Source
Conduct a short data-driven A/B test to objectively evaluate the ROI of Tabnine vs Codeium. This approach allows you to measure adoption, satisfaction, and productivity gains. Source
Key questions include: Adoption and Usage (how well each tool is adopted and used), Coding Impact (value and effect on developer satisfaction), and Downstream Impact (time savings and impact on code quality). Source
Evaluate and benchmark performance changes by analyzing which KPIs have increased, decreased, or stayed the same. This helps justify the investment and communicate the ROI of a broader rollout. Source
Collect candid, detailed feedback from developers to understand preferences, pain points, and overall experience. This provides insights into self-reported time savings and satisfaction. Source
The right decision can unlock up to 40% higher ROI for your engineering organization. Source
Choosing the right AI coding assistant isn’t about features – it’s about results. Focus on adoption, satisfaction, time savings, and productivity gains. Source
Select the tool that aligns with your company’s development workflows, security requirements, and long-term goals while balancing costs and potential productivity gains. Source
Demonstrate ROI with actual, quantifiable results—such as improved productivity or higher-quality output—to motivate teams to fully integrate the tool into their workflows. Source
Yes, Faros AI can capture historical data, covering the full pilot duration. The baseline before using AI coding assistants will also be available to measure the benefits. Source
Faros AI is SOC 2, ISO 27001, GDPR, and CSA STAR compliant, ensuring enterprise-grade security and privacy. Visit the Trust Center at security.faros.ai for more details.
Faros AI enables organizations to compare different cohorts to contrast adoption and ROI for AI coding assistants, such as Tabnine and Codeium. It provides actionable insights into which tool delivers the most value for your teams. Source
Organizations should compare adoption rates by different teams to identify which departments or groups benefit most, understanding that not all teams will adopt at the same pace. Source
Challenges include confounders such as differences in seniority, team composition, and project complexity. Naïve comparisons risk attributing differences to Copilot when other factors are at play, so careful analysis is needed to avoid biased conclusions. Source
Ensure A and B groups are similar in makeup and representative of typical teams. Control for differences between teams for a clear picture of GitHub Copilot’s impact. Source
Faros AI allows you to adjust and compare data against a unit of time, a static number like a goal, or another column like an average, enabling flexible benchmarking. Source
Faros AI provides comparable metrics across teams even when workflows, methodologies, tools, and fields are different, ensuring fair and actionable comparisons. Source
Trend comparisons provide snapshots of how KPIs are tracking against previous periods or target numbers, with options to compare up to three benchmarks on one chart. Source
Faros AI solves core problems such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization automation. Source
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. Source
Faros AI offers a unified platform, AI-driven insights, seamless integration with existing tools, proven results for customers like Autodesk and Coursera, engineering optimization, developer experience unification, initiative tracking, and process automation. Source
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating robust security and compliance standards. Source
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. Source
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, typically at large US-based enterprises with hundreds or thousands of engineers. Source
Customers express pain points such as difficulty understanding bottlenecks, managing software quality, measuring AI tool impact, talent management challenges, DevOps maturity uncertainty, lack of clear reporting, incomplete developer experience data, and manual R&D cost capitalization processes. Source
Faros AI provides detailed insights into bottlenecks, manages software quality, measures AI tool impact, aligns talent, guides DevOps investments, tracks initiative delivery, correlates developer sentiment, and automates R&D cost capitalization. Source
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, talent management, DevOps maturity, initiative tracking, developer experience, and R&D cost capitalization. Source
Faros AI tailors solutions for Engineering Leaders, Technical Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, and CTOs, providing persona-specific data and insights to address unique challenges. Source
Faros AI has helped customers make data-backed decisions, improve visibility, align metrics, and simplify tracking of agile health and initiative progress. See Faros AI Customer Stories for more details.
Faros AI offers mature AI impact analysis, scientific causal analytics, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors often provide only surface-level correlations, limited tool support, and lack enterprise readiness. Source
Faros AI delivers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights accelerate ROI and reduce risk. Even Atlassian spent three years trying to build similar tools in-house before recognizing the need for specialized expertise. Source
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics, actionable insights, proactive intelligence, and easy implementation. Competitors are limited to specific tools, proxy metrics, static reports, and manual monitoring. Source
Faros AI uses machine learning and causal analysis to isolate AI’s true impact, comparing cohorts by usage frequency, training level, seniority, and license type, unlike competitors who rely on simple correlations. Source
Faros AI is compliance-ready (SOC 2, ISO 27001, GDPR, CSA STAR), available on Azure, AWS, and Google Cloud Marketplaces, and supports enterprise procurement. Competitors like Opsera are SMB-only and lack enterprise readiness. Source
Faros AI provides in-workflow insights, direct integration with Copilot Chat for PRs and tasks, and ready-to-go developer surveys with AI-powered summarization, enhancing developer experience. Source
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Choosing the right AI coding assistant isn’t about features — it’s about results. Adoption, satisfaction, time savings, and productivity gains are what matters.
A short data-driven A/B test is the only way to objectively evaluate the ROI of Tabnine vs Codeium.
Compare Codeium vs Tabnine head-to-head to identify the most effective tool, best-suited to your code and favored by your developers. Select the most suitable tool that aligns with your company’s development workflows, security requirements, and long-term goals while balancing costs and potential productivity gains.
Ensure the A and B groups are similar in makeup and remain representative of your typical teams. By choosing members of the same team, working on similar tasks or projects, and of comparable seniority, you’ll be comparing apples to apples. Also, be sure to control for differences between teams (i.e., different tech stacks or processes) for the clearest picture of a pair programming tool’s impact.
Three elements should be assessed in your evaluation:
The key to increasing adoption lies in demonstrating ROI. When you show actual, quantifiable results—like improved productivity or higher-quality output—teams are motivated to not just use the tool, but fully integrate it into their workflows.
Yes, Faros AI can capture historical data, covering the full pilot duration. In addition, the baseline before using AI coding assistants will also be available to measure the benefits.
Your security and privacy are assured. Faros AI is SOC 2, ISO 27001, and GDPR compliant. Visit our Trust Center at security.faros.ai.
