Why LLMs Beat Template Generators at Writing Unit Tests

As developers increasingly delegate repetitive coding tasks to AI, this article reveals why LLM-based test generation succeeds where brittle template solutions fail. The key is that LLMs understand domain logic and edge cases when given proper context, not just function signatures. This suggests a broader opportunity: developers can reclaim time from tedious test writing while maintaining code quality, if they learn to properly prompt and validate LLM output.