"Developers often spend significant time on necessary, but undifferentiated work, or "toil". Toil is often manual, repetitive, and of limited enduring value, making it a strong candidate for automation or delegation to generative AI tools. The re:Invent 2024 session Unleashing generative AI: Amazon's journey with Amazon Q Developer (DOP214) discussed how toil and productivity have an inverse relationship. Amazon Q Developer can help decrease toil and free up your developers to work on more productive tasks."
"The initial Amazon Q Developer Dashboard, released in October 2023, provided basic visibility into subscription usage, code generation statistics, and security scans. While these metrics gave customers visibility into basic usage patterns, they wanted deeper insights into how the metrics connected to developer productivity and business outcomes. Since then, updates to the Amazon Q Developer Dashboard provided additional user-level insights, with the most recent changes discussed in the May 2025 blog post: Unlocking the power of Amazon Q: Metrics-driven strategies for better AI coding."
Modern software teams face pressure to deliver high-quality code faster while managing system complexity. Developers spend significant time on manual, repetitive, low-value toil that suits automation or generative AI delegation. Amazon Q Developer can reduce toil and free developers for higher-value work. Integrating Amazon Q Developer with Jellyfish enables measurement of AI's impact on developer productivity through key metrics and data-driven decision making. The Amazon Q Developer Dashboard began with subscription, code generation, and security scan visibility in October 2023 and evolved to include user-level insights by May 2025. Measuring AI impact remains challenging due to complex organizations and fragmented toolchains.
Read at Amazon Web Services
Unable to calculate read time
Collection
[
|
...
]