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HeurEvo introduces an automated plan–code–component co-evolution framework in which AI agents jointly evolve algorithmic structure, executable implementations, and a shared pool of reusable components for hybrid solver-augmented heuristics. Across combinatorial optimization benchmarks and MIPLIB instances, it matches or surpasses state-of-the-art solvers under tight runtime budgets and sets new results on problems such as hexagon packing.