Developer Productivity Engineering
Developer Productivity Engineering (DPE) is a software development practice used by leading software development organizations to maximize developer productivity and happiness.
Developer Productivity Engineering Overview
As its name implies, DPE takes an engineering approach to improving developer productivity. As such, it relies on automation, actionable data, and acceleration technologies to deliver measurable outcomes like faster feedback cycles and reduced mean-time-to-resolution (MTTR) for build and test failures. As a result, DPE has quickly become a proven practice that delivers a hard ROI with little resistance to product acceptance and usage.
Organizations successfully apply the practice of DPE to achieve their strategic business objectives such as reducing time to market, increasing product and service quality, minimizing operational costs, and recruiting and retaining talent by investing in developer happiness and providing a highly satisfying developer experience. DPE accomplishes this with processes and tools that gracefully scale to accommodate ever-growing codebases.
Gradle is pioneering the practice of DPE and Gradle Enterprise serves as the key enabling technology and solution platform.
https://gradle.com/developer-productivity-engineering/
Developer Productivity Engineering Handbook by Gradle
https://gradle.com/developer-productivity-engineering/handbook/
NEWSLETTER
Engineering Enablement
The latest research and perspectives on developer productivity.
By Abi Noda
Co-Founder at DX, Developer Insights Platform
https://www.linkedin.com/newsletters/engineering-enablement-7025192448687579136/
Is Developer Productivity Engineering the Next Big Thing in Software?
Published on April 2, 2021
https://www.linkedin.com/pulse/developer-productivity-engineering-next-big-thing-software-caccamo/
Developer Productivity Engineering vs Developer Productivity Management
https://www.linkedin.com/pulse/exploring-developer-productivity-solution-landscape-wayne-caccamo/
25.7.2025
METR’s study on how AI affects developer productivity.
Abi Noda
July 24, 2025
Conducted by METR, a nonprofit research organization focused on evaluating AI capabilities, the study found that AI tools actually slowed down developers working on real-world tasks. (Read the full paper here, and METR’s blog post here.)
Ud. 25.7.2025, 26.11.2023
Pub. 3.6.2022
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