Definition
AI Code Generation
Using large language models to automatically produce source code from natural language descriptions, examples, or partial implementations.
AI code generation uses trained models like GPT-4, Claude, or specialized coding models to write software from natural language prompts. Tools like GitHub Copilot, Cursor, and Bolt have made this accessible to non-engineers, enabling rapid prototyping. The generated code typically handles happy-path functionality well but often lacks error handling, security hardening, input validation, and performance optimization. AI code generation is most valuable when paired with experienced engineers who can evaluate, test, and harden the output for production use.
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