AI Code Generation

AI is best treated as a developer tool rather than as the programming job itself. LLMs create an additional abstraction layer in software development by producing code for developers. The usefulness of generated-code abstraction does not eliminate the developer's duty to understand the produced code. AI-generated code can speed development while also accelerating technical debt accumulation. Almost-correct AI-generated code is dangerous because it can appear functional and be merged before its problems are understood. AI may suggest outdated approaches that create hidden maintenance and security costs if accepted without enough review. The article warns that almost half of AI-generated code may introduce security vulnerabilities. AI-generated code can appear clean and correct while still being insufficient for production needs. Generated code should be reviewed for maintainability and reasoning, not only for whether it seems to work. AI produces correct output especially well for well-defined, self-contained programming problems.