arXiv: cs.AI preprintsInternational6 November 2026
KG-AST for Cheaper CI/CD: Budgeted Test Selection and AI Bug Review
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arXiv:2611.06950v1 Announce Type: cross Abstract: Continuous integration and AI-assisted review spend the same budget on every commit, although few commits introduce bugs. We study KG-AST, which scores each commit risk from git history and code-graph features before heavy tests or AI review run, so the budget goes to the riskiest commits first, and which hands the AI reviewer only a graph slice around the change. On 155 open-source projects in 11 languages, a single cross-language model trained on other projects ranks commits so that heavy testing of the riskiest 20% covers 49-64% of bug-intro
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