Machine learning models signal when it’s time to pay down technical debt.
Editor's pick
Is the Build Time metric the right measure to demonstrate the ROI of Developer Productivity investments? Does it stand up in court? We found out.
Editor's pick
A guide to measuring continuous integration metrics, such as CI Speed and CI Reliability, and an introduction to the most important developer productivity metric you never knew existed.
Autodesk shares its key learnings from building an internal developer platform with an integrated visibility plane to optimize the software development lifecycle.
Four sprint metrics any engineering team can track to improve developer productivity and unlock better outcomes.
Editor's pick
Revisiting McKinsey's software engineering productivity framework, Vitaly Gordon reflects on what's changed and how to implement McKinsey's visibility recommendations within days.
Tech organizations can now interpret value and ROI signals across engineering operations to improve resource allocation and navigate the adoption of AI coding assistants.
Midway through the year, we surveyed 85 technology leaders about the questions they wish their engineering data could answer. Three themes emerged.
Editor's pick
If teams struggle to weigh the tradeoffs without your involvement, it may be a reflection of the systems you’ve put in place as a leader.
Jason Bloomberg of Intellyx challenges the assumption that all code must be tested before deploying it to production.
How does McKinsey's developer productivity model stand up to scrutiny when comparing the contributions of two very different developers? Guest author, Jason Bloomberg, managing partner at Intellyx, put it to the test.
Six metrics any engineering manager can use to get the most value out of contractors and justify the expense.
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