When you use AI features, the IDE needs to send your requests and code to the LLM provider. In addition to the prompts you type, the IDE may send additional details, such as pieces of your code, file types, frameworks used, and any other information that may be necessary for providing context to the LLM.
Doesn’t sound like it gives you much transparency or control over the data it sends no matter which feature you use. Sadly not usable at my job then.
That’s a bummer. We’re strictly regulated and stuff like this needs to be self hosted or we can’t use it
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They do say this though “We also plan to support local and on-premises models. For local models, the supported feature set will most likely be limited.”
This is currently a no go at my place (I asked) but the ai and security folks were interested in that as it would allow on-prem/private cloud usage as well as the possibility of using targeted models instead of a generic one.
For example, in the comments on their announcement they confirm they are looking at Azure AI support.
It’s been in EAP for a while, but so far I only used it once to generate a commit message for a project I hadn’t touched in a while and apparently forgot to commit ;) It was quite useful to get a summary of my changes.
give me unit test generation and I’m bought
I mean, the inverse is probably more productive. Specify the observable behaviors you want and let the “AI” build the software.
Test Driven AI 🤔
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Nifty
That would cover like 80% of my work related usage of chatgpt and do stuff I didn’t think of outsourcing to AI. I’ll probably unsubscribe from co pilot too.
Can’t wait for it to be in Goland.
If you’re willing to use the EAP version, its already there.
