Developers Use AI To Draft Safer Code

The article explains that large language models are trained offline and often produce fluent but unverified code and API descriptions, which can break builds when used without verification. It warns that LLMs predict likely tokens rather than validate facts, autocomplete lacks project-level understanding, and recommends verifying outputs, providing context, and treating AI results as drafts.