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Developmental processes are usually described through dynamical systems and gradient-driven cellular rearrangements, yet their topological constraints are not well characterized. We introduce a mathematical approach linking morphogenesis with the Gömböc, a convex body whose equilibrium structure is minimal under topological constraints. We model developmental dynamics as gradient flows defined on a configuration space of tissue states where a morphogenetic potential integrates mechanical, chemical and adhesive cellular interactions. To explore how varying landscape parameters affect the stability of critical configurations and developmental trajectories, we simulated morphogenetic systems governed by gradient flows with Morse-type potentials. We found that systems approaching minimal critical-point structures display large basins of attraction and convergent trajectories despite diverse initial states. Developmental systems may operate near Gömböc-like dynamical regimes in which the topological properties of the configuration space constrain the number of accessible states, while attractors and gradient dynamics may induce a causal order. Our framework generates testable predictions. Developmental trajectories should concentrate into a small number of preferred channels, with transverse dispersion showing an exponential decay over time. In exponential morphogen gradients, migration time is expected to scale approximately linearly with the initial distance from the source. Saddle-like transitional configurations should appear as intermediate states in morphogenetic landscapes, detectable as brief phases of reduced migration speed and increased directional fluctuations. Overall, a quantitative framework is provided for analyzing developmental robustness, identifying transition bottlenecks in morphogenetic landscapes and predicting how physical or biochemical parameters could reshape developmental trajectories in synthetic and regenerative contexts.