Technical debt in AI projects is one of those invisible killers that doesn't show up until you're deep in production. This piece breaks down the "code smells" specific to ML systems - from tangled data pipelines to model dependencies that make refactoring a nightmare. Worth a read if you've ever inherited an AI codebase and wondered what happened here
Technical debt in AI projects is one of those invisible killers that doesn't show up until you're deep in production. This piece breaks down the "code smells" specific to ML systems - from tangled data pipelines to model dependencies that make refactoring a nightmare. Worth a read if you've ever inherited an AI codebase and wondered what happened here 🔍
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