@scottmire I believe you are on the most fruitful track if you want to leverage LLMs for custom DSP development in Scriptnode. AI is still not at a point where it can function as a replacement for DSP knowledge, but it can be a very helpful tool for filling in certain gaps. AI models have a tendency to cut corners and get to a solution as fast as possible rather than considering if it is really the right solution in a specific context (I think griffinboy's point covers this quite well).
Personally I like to start with research articles and open source github repos and either read or skim them to gather context about a particular topic. Identify which solutions work in your context, ask here about it or on other forums, and for the aspects which you find difficult to understand you can possibly consult an LLM (pinch of salt as always).
That being said, letting an AI autonomously work on a particular task and being able to verify the output is the most critical part. Specific harnesses and tests you can run and trust are quite critical here. This is true whether it's vibecoded or human written. I rely heavily on tools like HART. Pluginval is useful for validating your plugin, and PluginDoctor is very helpful for visualizing and measuring your results.
I also believe the hise-cli can construct scriptnode networks in realtime though I haven't really tried it as I prefer creating Thirdparty C++ networks.
