
AI
Measuring the Cost of Production Issues on Development Teams
Deprioritizing quality sacrifices both software stability and velocity, leading to costly issues. Investing in quality boosts speed and outcomes. David Tran · Follow Published in Towards Data Science · 8 min read · 12 hours ago — Image by the author. (AI generated Midjourney) Investing in software quality is often easier said than done. Although many engineering managers express a commitment to high-quality software, they are often cautious about allocating substantial resources toward quality-focused initiatives.