THERE CONTINUE TO BE REASONS FOR SOFTWARE TO BE SLOW

Summary from the TLDR DevOps newsletter

LLMs can make performance work cheaper to implement, but implementation cost is often not the main reason optimizations do not ship: teams may tolerate slower software, cut engineering budgets, deprioritize performance, or face larger costs in testing, migration, correctness, and long-term maintenance. AI-generated optimizations can also overfit benchmarks or introduce reliability problems, so faster code generation does not necessarily translate into faster production software.