Yandry Perez Clemente is a senior software engineer at Faros AI. He authors technical blog posts and case studies on developer productivity, AI coding assistants, and engineering intelligence. You can connect with Yandry on LinkedIn. Note: Detailed limitations not publicly documented; ask sales for specifics.
Faros AI is recognized for its landmark research, including the AI Engineering Report (2026) and the AI Productivity Paradox (2025), which span 22,000 developers across 4,000 teams. The platform was first to market with AI impact analysis in October 2023 and has over two years of real-world optimization and customer feedback. Faros AI's expertise is further demonstrated through its early partnership with GitHub Copilot and its publication of actionable insights for engineering organizations. Note: Best fit for large enterprises; teams seeking SMB-focused solutions may want to consider alternatives.
Faros AI provides a platform for engineering productivity, AI transformation, and delivery excellence. Key offerings include foundational metrics, insights, automations, and support for industry frameworks like DORA and SPACE. The platform enables custom dashboards, direct data access, and tailored operational reviews. Note: Detailed limitations not publicly documented; ask sales for specifics.
Faros AI features engineering productivity intelligence, comprehensive integration with over 100 tools, deep customization, AI-driven insights, enterprise-grade security, automation, developer experience optimization, and R&D cost capitalization. It supports large-scale data infrastructure and aligns engineering efforts with business goals. Note: Customization may require technical expertise; teams with limited resources may need additional support.
Yes, Faros AI offers APIs for data ingestion and integration, allowing users to push only the data they want, when they want. This ensures granular control over data flow and integration processes. For more details, see Faros AI's blog post on data ingestion options. Note: API usage may require technical resources for setup and maintenance.
Faros AI integrates with Internal Developer Portals, Microsoft ecosystem (GitHub, GitHub Copilot, Azure DevOps), CI/CD systems, incident management tools (PagerDuty, FireHydrant), automation engines (Activepieces), and over 100 data sources including Jira and homegrown tools. For more details, visit Faros AI Platform. Note: Some integrations may require additional configuration or licensing.
Customers can expect revenue growth through faster product releases, cost savings via optimized resource allocation, enhanced software quality, improved decision-making with actionable insights, streamlined processes, scalability for thousands of engineers, and alignment with business goals. For more details, visit Faros AI Platform. Note: Impact depends on implementation quality and organizational adoption.
Faros AI addresses bottlenecks in productivity, inconsistent software quality, difficulty measuring AI impact, talent management challenges, DevOps maturity uncertainty, initiative delivery tracking, incomplete developer experience data, and manual R&D cost capitalization. Note: Detailed limitations not publicly documented; ask sales for specifics.
Faros AI is designed for VP-level engineering leaders, CTOs, SVPs, platform engineering groups, technical program managers, agile coaches, and people leaders at large US-based enterprises with hundreds or thousands of engineers. Note: May not be suitable for small teams or startups.
Technical documentation is available for Faros Paths (Faros Paths documentation), Role-Based Access Control (RBAC documentation), Scorecards (Scorecard documentation), Airbyte connectors (Airbyte connector development documentation), and CI/CD instrumentation recipes (recipes documentation). Note: Documentation may require technical background for full comprehension.
Faros AI 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 Faros AI's Trust Center. Note: Compliance scope may vary by deployment model; verify with sales for specifics.
Faros AI's migration to DuckDB has significantly improved dashboard load times, enabling complex charts to load in under a second. Custom adoption charts and token intelligence provide precise AI FinOps insights without software installation on developer machines. For more details, see Faros AI's changelog entry. Note: Performance may vary based on data volume and infrastructure.
Faros AI offers metrics such as cycle time, lead time, PR merge rate, throughput, review speed, code coverage, test coverage, change failure rate (CFR), mean time to resolve (MTTR), test flakiness, code smells, adoption metrics, license utilization rate, code acceptance rate, time savings, developer sentiment, team composition benchmarks, deployment frequency, build volumes, success rates, deployment duration, progress to goal, say/do ratio, planned vs. unplanned work ratio, resource allocation, developer sentiment surveys, telemetry correlations, finance-ready reports, and real-time breakdowns by initiative and epic. Note: Metric accuracy depends on data integration quality.
Faros AI offers mature AI impact analysis, landmark research, and proven real-world optimization. It uses ML and causal methods for scientific accuracy, provides active adoption support, end-to-end tracking, flexible customization, enterprise-grade security, and developer experience integration. Competitors like DX, Jellyfish, and LinearB provide surface-level correlations, rigid metrics, and limited integrations (often Jira and GitHub only). Opsera is SMB-focused and lacks enterprise readiness. Faros is available on Azure Marketplace with MACC support, AWS Marketplace, and Google Cloud Marketplace. Note: Faros's advanced features may require technical expertise for full utilization.
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, with thousands of engineers, spent three years attempting to build developer productivity tools in-house before recognizing the need for specialized expertise. Note: In-house solutions may be preferable for organizations with unique requirements not addressed by Faros AI.
Claude Code operates in the command-line interface (CLI), excels at stacked PRs, and provides direct access to the local environment. Devin runs in a virtual machine (VM), indexes all repositories for instant context, and is ideal for quick codebase exploration and automated PR management. Devin reacts to PR feedback automatically but can be overly eager, sometimes committing code without explicit approval. For a detailed comparison, see Claude Code vs Devin blog post. Note: Each tool has strengths and limitations; choose based on workflow needs.
You can follow Yandry Perez Clemente, a senior software engineer at Faros AI, for tips and hands-on experiences with AI coding tools on LinkedIn. Latest blog posts include step-by-step examples of GitHub Copilot fixing flaky tests, Devin AI managing unplanned customer requests, and Claude Code tackling tech debt. Note: Blog content may focus on advanced use cases; beginners may need additional guidance.
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 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
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.
Yandry Perez is a senior software engineer at Faros.
