How to Recommend Tools for Finding and Fixing Software Errors
summary
Automated emails trigger complaints and near-zero adoption, automated pull requests that edit pom.xml break builds and still fail to get uptake, while peer-to-peer recommendations convert about 50% of partners. A design framework based on nudge theory emphasizes actionability, feedback, and locality; actionable recommendations that can auto-apply win unanimous preference in surveys. A GitHub bot that suggests fixes on pull requests exists and shows promise but introduces integration and build-stability costs that still need resolution.
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