AI / Merge Mind: The Self Learning AI Code Review Bot Interview Questions
Describe the three types of learning in Merge Mind's adaptive learning model?
| Learning type | What happens |
| Initial Learning | Merge Mind is trained on an existing codebase, analyzing many files to learn architectural patterns, naming conventions, and common practices |
| Continuous Learning | Every merged request adds to its knowledge, extracting patterns from the code the team actually accepted |
| Feedback Learning | Comments that get resolved or accepted act as signals, gradually tuning the bot to the team's specific preferences |
Together these three layers mean Merge Mind isn't a static rule engine, it's expected to keep getting more relevant to a specific team's codebase the longer it's in use.
Which learning type is triggered by running a script on an existing codebase?
Which learning type is driven by whether comments get resolved or dismissed?
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