
Sifatul Islam developed a collaborative LEGO structure planner for the csu-signal/TRACE repository, focusing on enabling multi-user design with integrated solvability checks and automated build instructions. Using Python and leveraging skills in algorithm design and data structures, Sifatul implemented spatial validation to ensure feasible block placements, including support for colored and shaped pieces. The planner enforced adjacency constraints and generated step-by-step instructions and visualizations, streamlining the design process for users. This work addressed the challenge of collaborative planning by providing clear, executable artifacts and reducing iteration cycles, demonstrating depth in both technical implementation and understanding of collaborative engineering workflows.
March 2026 (csu-signal/TRACE): Delivered a collaborative LEGO structure planner with integrated solvability checks and automated build instructions. The feature validates spatial constraints, supports colored and shaped blocks, and ensures feasible placements via adjacency constraints before producing step-by-step build instructions and visualizations. This release enhances cross‑user collaboration, accelerates design iterations, and provides clear, executable planning artifacts for builders.
March 2026 (csu-signal/TRACE): Delivered a collaborative LEGO structure planner with integrated solvability checks and automated build instructions. The feature validates spatial constraints, supports colored and shaped blocks, and ensures feasible placements via adjacency constraints before producing step-by-step build instructions and visualizations. This release enhances cross‑user collaboration, accelerates design iterations, and provides clear, executable planning artifacts for builders.

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