Genji, I’ve built a tiny program that finds the fastest sequence of moves for a piece in a grid—kind of like a tactical duel on code. Interested in testing it out?

import random from collections import deque def shortest_path(grid, start, goal): rows, cols = len(grid), len(grid[0]) dirs = [(1,0),(-1,0),(0,1),(0,-1)] queue = deque([(start, [])]) visited = set([start]) while queue: (r,c), path = queue.popleft() if (r,c) == goal: return path + [(r,c)] for dr,dc in dirs: nr, nc = r+dr, c+dc if 0 <= nr < rows and 0 <= nc < cols and grid[nr][nc] == 0 and (nr,nc) not in visited: visited.add((nr,nc)) queue.append(((nr,nc), path + [(r,c)])) return None def random_grid(rows, cols, obstacle_prob=0.2): return [[1 if random.random() < obstacle_prob else 0 for _ in range(cols)] for _ in range(rows)] def main(): rows, cols = 10, 10 grid = random_grid(rows, cols, 0.3) start, goal = (0,0), (rows-1, cols-1) grid[start[0]][start[1]] = 0 grid[goal[0]][goal[1]] = 0 path = shortest_path(grid, start, goal) if path: print("Found path:", path) else: print("No path available") if __name__ == "__main__": main()

Here’s a quick tweak that treats every turn as a new obstacle grid—your piece recalculates the path each step. Give it a spin and watch the algorithm adapt on the fly.