I opened a similar discussion here: LabVIEW and the AI coding revolution: are we being left behind?
09-02-2026 02:26 AM
Hi guys,
just open discussion, any method vibe coding for labview, just like some text programing language ?
thanks.
09-02-2026 03:31 AM
Unfortunately, the LabVIEW+AI pair is not at a level yet to achieve the vibe-coding that other text languages support (my benchmark is able to develop a complete application based on the user's natural language requirements)
09-02-2026 04:43 AM
@santo_13 wrote:
Unfortunately, the LabVIEW+AI pair is not at a level yet to achieve the vibe-coding that other text languages support (my benchmark is able to develop a complete application based on the user's natural language requirements)
I'm not agreeing with the use of "unfortunately" here. 🙂
09-02-2026 04:45 AM
The included Nigel AI has some basic functionality, that's where we are currently. You can ask and get decent answers from e.g. ChatGPT, but it doesn't generate a VI.
09-02-2026 10:01 AM
I opened a similar discussion here: LabVIEW and the AI coding revolution: are we being left behind?
09-07-2026 12:37 PM - edited 09-07-2026 12:43 PM
@andcadev wrote:
As other people have already pointed out, there is currently no real way to vibe-code in LabVIEW.I opened a similar discussion here: LabVIEW and the AI coding revolution: are we being left behind?
implicitly: you can use the python node or the formula node to inject vibe code directly - that actually works quite "well", ai is like talking to a stubborn child...
explicity: at the moment, you need labview professional (that suffix does matter) to use NIGEL to vibe code
what can be done?
I recently did a very "loose" proof of concept, and asked NIGEL to improve
https://forums.ni.com/t5/Example-Code/Guitar-Tuner-in-LabVIEW/ta-p/3493770
it actually gave some helpful ideas, but I havent tried to ask NIGEL to "improve" that file.vi sitting on my SDD, so I'm still trying out
but what works: hey nigel, there's this C:/users/../file.vi - tell me how to make the process more robust, in terms of reducing false positves