How Engineers Measure Code Quality

In this episode of The Software Engineering Podcast, Lucas and Luna dismantle the myth that lines of code or bug counts equal quality. They examine how leading engineering teams at companies like Netflix and GitHub have shifted from vanity metrics to value-driven signals like deployment frequency, change failure rate, and mean time to recovery. The conversation explores why measuring developer velocity without context creates toxic pressure, and how organizations can use DORA metrics to foster psychological safety rather than surveillance. We also look at the rising role of AI-assisted code review in reducing cognitive load for senior engineers while maintaining architectural integrity. If you are a tech lead trying to justify headcount or an engineer feeling burnt out by arbitrary KPIs, this deep dive into sustainable engineering practices will give you concrete frameworks to improve your team's health without sacrificing ship speed. #SoftwareEngineering #DevOpsCulture #CodeQuality #DORAMetrics #EngineeringLeadership #TechDebt #DeveloperExperience #ContinuousIntegration #SystemDesign #AgileMethodology #TeamVelocity #TechPodcast #FexingoBusiness #BusinessPodcast #TechTrends2026 #EngineeringManagement #AIinCoding #SustainableGrowth Keep every episode free: buymeacoffee.com/fexingo