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MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis

First seen · 7/30/2026, 12:00 PMLatest activity · 7/30/2026, 12:00 PM

MindForge is an automated pipeline for turning open-source command-line programs into source-free software-engineering environments that expose only a compiled reference executable and documentation. The authors use GLM-5.2 as a teacher to generate program-synthesis trajectories, then fine-tune Qwen3.6-27B. On ProgramBench, the model’s average test pass rate rises from 37.98% to 49.51%. The paper also reports consistent gains across seven unseen benchmarks covering repository generation and translation, bug fixing, feature implementation, and multilingual issue resolution, including a 31.00-point gain on RepoZero-C2Rust.

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  1. AggregatorHuggingFace Daily Papers7/30, 12:00 PMnot independentRepresentative
    MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis