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Speed, Flow, and Metrics: Mastering the Developer Productivity Paradox

Автор: Gradle

Загружено: 2025-10-13

Просмотров: 137

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Presented by Anjali Gugle (Cisco) at DPE Summit 2025, an event developed and hosted by Gradle.

Visit https://gradle.com/solutions/generati... to learn how to reap the rewards of AI in today's software development landscape while avoiding the pitfalls.

In the race to accelerate #softwaredelivery, organizations often focus heavily on metrics, dashboards, and automation. But are we measuring the right things? Are we truly optimizing for meaningful productivity, or simply encouraging activity? Developer experience (#DX) goes beyond just delivering software faster—it’s about reducing friction, ensuring quality, and creating an environment where developers can innovate with confidence.

This session examines the hidden trade-offs in #developerproductivity and introduce practical strategies for optimizing workflows. We explore methods to measure and reduce bottlenecks such as approval times, review cycles, and resource utilization, all while maintaining high-quality standards. Additionally, we discuss how AI-powered tools can transform productivity by simplifying documentation, elevating architecture, and accelerating #softwarequality through gating and synthetic testing.

A key focus will be #ProductivityMetrics and Measurement—how organizations can assess and optimize #developersatisfaction, rather than just tracking activity. We share insights on how measuring developer satisfaction directly correlates with improved productivity and business outcomes, helping create a #developer-first culture.

Through a real-world case study, we highlight how adopting advanced productivity strategies and AI-driven workflows helped a large organization reduce friction, accelerate delivery, and improve developer satisfaction.

Join us as we explore how to build a developer-first culture, where developers can work faster, smarter, and more joyfully—ultimately driving both innovation and business success.

Speed, Flow, and Metrics: Mastering the Developer Productivity Paradox

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