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AI Coding: A Sober Review
AI Dev Tools are useful now, especially for writing tests, prototyping, and repetitive tasks. They are not magic, but excellent helpers. For complex code or debugging, human input is still better. Providing better context, scoping the task well, and reusing past information are key to getting the most out of them. Context management, persistence, and large language models keep improving. Soon, they may be essential.
It has a core feature set similar to Cursor, but it emphasises team workflows, context sharing, and reproducibility. Example: I asked Claude Code to build a fuzz test framework for our managed PostgreSQL service using an OpenAPI spec. In my experience, Claude Code edges out Cline overall in areas that need a more complex understanding or reasoning quality.
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