Measuring Impact: The Gen AI Code Report

What's Inside?

GenAI Adoption, Benefits, and Risks

As with any new tech rollout, the next question quickly becomes: How do we measure the adoption, benefits, and risks of this investment? The GenAI Code Report breaks down how to use metrics to answer questions like:

Are we getting the intended benefits from GenAI?

Are GenAI PRs taking longer for my team to review?

Which parts of our codebase are being written by a machine? New code? Tests?

Survey Results

We polled 150+ CTOs, VPs of Engineering, and Engineering Managers – hailing from start-ups and Fortune 500 companies alike. Inside, you’ll find their answers to the following questions:

What are your most likely use cases for a GenAI coding tool?

What are your main concerns about using a GenAI coding tool?

How likely is your organization to invest in a GenAI coding tool in 2024?

AI Metrics

Inside, we define the most important AI impact metrics broken down by adoption, benefits, and risks – and how you can start measuring them today. Learn how to build a custom dashboard for essential metrics like:

PRs Opened, PRs Merged

Merge Frequency, Coding Time, Planning Accuracy

PR Size, PRs Merged Without Review, Time to Approve, and more

Read the Docs