Waydev is an engineering intelligence platform designed to help software development teams, engineering managers, and technical leaders measure and optimize developer productivity. By aggregating data from git repositories, project management systems, and collaboration tools, the platform provides clear visibility into the software development lifecycle. It incorporates frameworks like DORA metrics, Developer Experience analysis, and the SPACE framework to give a comprehensive view of team performance. Waydev leverages AI agents to uncover operational bottlenecks, streamline development processes, and align engineering output with broader organizational goals. Rather than relying on manual reporting or subjective evaluations, technical organizations can use Waydev to access automated, data-driven insights. This helps teams identify where engineering effort is being spent, improve workflow efficiency, and ensure that software delivery remains predictable and high-quality. Ultimately, it serves as a valuable resource for technology leaders looking to foster a more productive, balanced, and high-performing engineering culture.
Key Features
DORA metrics tracking\n- Pull request and cycle time analysis\n- Resource allocation and cost capitalization\n- Generative AI adoption monitoring\n- Custom metrics and dashboards\n- Sprint velocity and commitment reporting\n- Developer experience and health benchmarking
Use Cases
Use Case 1: Tracking and Accelerating Software Delivery\nProblem: Engineering managers lack visibility into bottlenecks and delivery speed within their development lifecycle.\nSolution: Waydev aggregates data from git repositories and project management systems to calculate DORA metrics and cycle times.\nExample: A team uses the platform to pinpoint that pull requests are sitting idle for 48 hours, then works to streamline their review processes.\n\n
Use Case 2: Aligning R&D Costs with Business Goals\nProblem: Finance and engineering teams struggle to accurately track resource allocation and capitalize software development costs.\nSolution: The platform automates cost capitalization and analyzes resource distribution across projects.\nExample: An executive generates an automated financial report showing exactly how much developer time was spent on capitalizable new features versus maintenance.\n\n
Use Case 3: Measuring the Impact of Generative AI Tools\nProblem: Organizations adopting AI coding assistants cannot verify if these tools actually improve developer speed or code quality.\nSolution: Waydev features specific tracking for AI adoption, impact, and ROI to monitor how AI-assisted workflows affect productivity metrics.\nExample: A technical leader monitors the \"AI Adoption\" dashboard to see if the implementation of GitHub Copilot has reduced cycle times for junior developers.
Target audience: Best for: Engineering Managers, Chief Technology Officers (CTOs), Product Leaders, Software Development Teams
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