Your AI Coding ROI Is Disappearing and Your Dashboard Won't Tell You
The effectiveness of AI coding tools is being mismeasured by focusing on superficial metrics. While metrics like lines of code generated and developer satisfaction appear positive, they do not accurately reflect productivity improvements. A deeper analysis reveals that despite increased activity, overall delivery performance remains unchanged.
- ▪AI coding dashboards often highlight metrics that are easy to capture but misleading in terms of productivity.
- ▪Increased lines of code and developer satisfaction do not correlate with improved delivery metrics.
- ▪Research indicates that while tasks completed and PRs merged have increased, organizational delivery metrics have remained flat.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1499463) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Keith MacKay Posted on May 27 • Originally published at tlcmentor.substack.com Your AI Coding ROI Is Disappearing and Your Dashboard Won't Tell You #coding #ai #leadership #productivity Your AI Coding ROI Is Disappearing and Your Dashboard Won't Tell You The dashboard looks great. The delivery numbers don't. Your AI coding dashboard looks great. Acceptance rate up. Lines generated up. Developer satisfaction scores up. Your team is thrilled. Management is impressed.
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