Mendel Gödel Machine Boosts Coding Benchmarks via Multi‑Trajectory Evolution
The paper introduces the Mendel Gödel Machine, a self‑improving coding agent that rewrites its source using comparative evolution across multiple failure trajectories, not just a single path. By maintaining a population of candidate rewrites and applying tournament‑style fitness selection, it delivers sizable gains on SWE‑bench and Polyglot, hinting at faster, more general AI code generation.