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Developer shares practical guide on where Claude AI helps and where it fails

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A software developer who has built production workflows using Anthropic's Claude AI has shared a detailed breakdown of the tool's strengths and limitations. Claude performs well on complex reasoning, code refactoring, documentation generation, rapid prototyping, and cross-language code translation, according to the developer's experience. However, it struggles with domain-specific business logic, unusual debugging scenarios, and simple lookup tasks where official documentation is faster and more reliable. The developer warns that token costs can escalate quickly with heavy usage, conversation quality degrades after roughly 20 exchanges, and Claude can confidently produce code that references non-existent methods or APIs. The key takeaway is to use Claude as a thinking partner for architectural and pattern-level problems rather than a general-purpose code generator for every task.

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