A framework for measuring AI tools' real impact on development teams beyond just adoption rates. Research shows developers feel faster with AI but are actually 19% slower on familiar tasks due to cleanup time. The recommended approach uses three metrics: utilization, impact, and cost, focusing on throughput, change failure
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Takeaway #1: Developers might feel faster… but they're actually slower.Takeaway #2: We need to measure more than just adoption and usage.Takeaway #3: AI’s impact on team productivity depends on what you measure.Takeaway #4: Cost needs to be tracked along with value.Adapting these takeaways for our agency-style engineering teamShouldn't tools work FOR us?Sort: