[kshitij_libra]

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

[petercooper]

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.

[ceejayoz]

That sounds a lot like their old Watson claims.

[Moldoteck]

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

[petercooper]

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.

[el_burner]

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

[Moldoteck]

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

[mensetmanusman]

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