Hacker News Reader

nopes.. beyond starter projects, raw usage of chatgpt hardly leads to any gains in productivity in the enterprise setting .

So far no, but in the future with more specific and enterprise suitable tooling - likely

View on HN

Only murmurs for now, admittedly, but I heard a reason IBM is training models (e.g. https://research.ibm.com/blog/granite-code-models-open-sourc...) is because they provide LLM-based systems for enterprise customers to work on ancient, legacy codebases in languages like COBOL more easily. If true, I could definitely see how that might boost productivity as fewer people remain fully trained in the details of such old systems and languages.

unless IBM beats GH copilot enterprise that's by itself not that great, hard doubt it'll make a big impact

I don't have any insider knowledge, but maybe IBM could get its hands on a lot more legacy code for weird arcane systems than GitHub could? It would make their models more specific than those trained on 50% Python at least.

maybe, I've used copilot enterprise in our company for a big C++ project and to say I was unimpressed is an understatement

That would be Github that's owned by Microsoft who also make Windows? They can get weird arcane code.

Lots of old code not on GH that they could combine with what is on GH…

That sounds a lot like their old Watson claims.

Reply on news.ycombinator.com