Hi everyone,
After more than 15 years of using Grasshopper, in the midst of AI, I’ve been reflecting on a cycle that I think many of us fall into, where ones methods become a rigid, and persoannlly I’m looking to reshuffle my approach.
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Day 1: You build a working mockup. It’s fast, it’s visual, and 90% of the functional geometry is done. It feels great.
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Days 2 to …: Entropy sets in. You start adding features just in case you need them later. Build fail-back options, logs, automate as much as can. You make it “super-parametric” for future reusability and make it friendly and annottate everything.
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But .. Data trees become overly complex. New insights occur, and you realize midway through that a smarter approach is needed, meaning you have to rewire everything. It would take less time to delete it and start over, but you’ve already invested so much time into your “perfect” script that you just stick with it.
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As the deadline approaches, panic sets in. You start installing external plugins just for a single node, make a mess of spaghetti code, and create ultimate script bloat. Where you intiially fiddled over ms delays and optimzied, you now accept ‘stupid’ compute-heavy solutions … But in the end somehow, you still deliver.

I’d love to hear how others deal with this. Lately, I’ve been leaning more and more toward using AI to generate customized C# and Python nodes. While this most of the times works and cleans up the canvas, it introduces a different problem: it masks the flow. You lose that immediate, visual feedback of data passing through the script, which is the exact reason I’ve starting use Grasshopper instead of pure code. I am more visually attuned and just fail at reading txt-based code … it doesn’t compute for me
- How do you keep your definitions lean? Do you enforce a strict limit on parameters? I recall TomTom remark that any script over 100 node needs a rethink.
to [The Hall Of Shame] thread - When do you decide to scrap and restart versus trying to patch an existing script?
- What are your strategies for keeping things modular? (e.g., using Hops, Python/C# components, or strict clustering).
Looking forward to hearing your thoughts and experiences.

