Developer shares lessons on using AI coding tools responsibly in production

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A Java developer writing for DEV Community has shared observations after several months of using Claude Code, an IDE-integrated AI tool, for professional software development. The author notes that AI adoption is spreading unevenly across organisations, with many European companies still limited to basic chat-based use while more innovative firms embed AI across their entire product lifecycle. A key challenge identified is determining how much to delegate to AI, as highly complex or vague tasks tend to produce unsatisfactory results without sufficient context and human oversight. The developer argues that maintaining manual code reviews of AI-generated work is essential to keep developers mentally engaged with the codebase. Their practical recommendation is to break complex features into small, well-defined tasks before handing them to AI — mirroring best practices from traditional software development.

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