Commit-based feedback mechanisms provide developers with real-time analytics on commitfrequency, size, and timing, fostering consistent workflows, sustained engagement, and reduced“last-minute” coding sprees. This mixed-methods study evaluates the effects of such feedbackon engagement, self-regulation, and task completion among undergraduate iOS developers.We compared two cohorts 52 students in 2024 without feedback and 53 students in 2025 withGitPulse access during their final project phase using nonparametric analyses of commit data (totalcommits, meaningful commits, days spent, different days), a follow up survey , and semi-structured interviews. Although median increases in total commits 53 to 69 and meaningful commits 45 to 51achieved modest statistical support (U = 361.0, p = .08; U = 378.5, p = .12), all four behaviouralmetrics trended favorably. Within the 18 teams that actively used the dashboard, higher feedbackengagement correlated strongly with more frequent commits (ρ = .62, p = .005) and smaller commitsizes (ρ = −.53, p = .021). Survey and interview responses confirmed increased motivation, earliertask initiation, and finer-grained commit practices. Together, these findings indicate that structured,real-time commit feedback can scaffold self-regulated learning, enhance coding habits, and improveworkflow management, with implications for both academic instruction development practice.