Many who say LLMs produce “enterprise-grade” code haven’t worked in mid-tier or traditional companies, where projects are held together by duct tape, requirements are outdated, and testing barely exists. In those environments, enterprise-ready code is rare even without AI.

For developers deeply familiar with a codebase they’ve worked on for years, LLMs can be a game-changer. But in most other cases, they’re best for brainstorming, creating small tests, or prototyping. When mid-level or junior developers lean heavily on them, the output may look useful.. until a third-party review reveals security flaws, performance issues, and built-in legacy debt.

That might be fine for quick fixes or internal tooling, but it’s a poor fit for enterprise.

I work in the enterprise, although not as a programmer, but I get to see how the sausage is made. And describing code as "enterprise grade" would not be a compliment in my book. Very analogous to "contractor grade" when describing home furnishings.

I've found having a ton of linting tools can help the AI write much better and secure code.

My eslint config is a mess but the code it writes comes out pretty good. Although it makes a few iterations after the lint errors pop for it to rewrite it, the code it writes is way better.

Umm, Claude Code is a lot better than a lot of enterprise grade code I see. And it actually learns from mistakes with a properly crafted instruction xD