Dear all,

I'm an avid AI user, and I'd like to share some of my experiences:

I've achieved the best programming results using Gemini 2.5 Pro. (In my opinion, it's currently much more powerful than models like ChatGPT-1o or Claude 3.7 Sonnet). You can access Gemini 2.5 Pro for free via Google AI Studio: https://aistudio.google.com/. You'll need to select the Gemini 2.5 Pro model. For now, it's free to use and offers a very large context window (up to 1 million tokens). If you hit processing limits or want to start fresh, you can simply begin a new chat.

However, when it comes to querying the AI about LiveCode, the results are often disappointing. This seems largely due to the limited amount of online documentation and examples available for LiveCode compared to languages like Python, Golang, or C++.

My experience using AI for developing Python, Flutter and Golang applications suggests it's currently most effective for very small projects. Once you surpass roughly 2,000 lines of code, I find that AIs tend to introduce significantly more bugs. While you can mitigate this somewhat by splitting the code into smaller chunks, I don't currently see AI as a replacement for a human programmer.

Furthermore, even if an AI can generate a small Golang, Python or Flutter app, maintaining and scaling that code over the long term becomes very difficult. This is where LiveCode shines, with its significant advantages in development speed, simplicity, and exceptional code readability.

Honestly, at least for now, I don't perceive AI as a serious threat to LiveCode development, but at the same time, AI is not very helpful with Livecode.

Best,
Hery

On 3/9/25 06:43, Pi Digital via use-livecode wrote:
Hi Bob,

What a beautiful experience, so true. As always, something like AI should be viewed as a surgical tool to be used only when necessary and not relied solely upon. It’s useful but it only really gets us most of the way there. You still have to encapsulate it properly and adjust it to fully meet your requirements.

Thank you

Sean Cole
Pi Digital

On 7 Mar 2025, at 16:44, Bob Sneidar via use-livecode <use-livecode@lists.runrev.com> wrote:

When I was young (a long time ago) the company I was with hired a new graphics designer. All he knew was the conventional method for prepress and he designed all his art accordingly.

When I told him about the new Digital Prepress he told me that it still could not be done, because his professor at Orange Coast college had told him that it was at least 10 years off.

So I designed the next book cover and produced it using digital prepress through a service bureau, which impressed him greatly. Now a great deal f what he produces for publishing is done with software. He never uses “art boards” anymore because it simply isn’t necessary.

There aren’t many graphic artists left who actually understood the process of producing the film and plates for CMYK printing, which involved underexposing or overexposing different elements of the graphic layout in order to avoid thin white lines around objects because the film or plates never aligned precisely.

The knowledge is now almost completely lost, so that if the technology of digital prepress is ever lost or unavailable, it’s doubtful anyone would know how or have the equipment to perform the task in the old conventional way.

I fear the same thing may end up happening with AI and not just with programming. We already have the phenomenon of people not being able to think for themselves, but simply believing what “experts” tell them is true about a given subject or issue. With the advent of AI, I think we can expect this effect to increase dramatically.

Artificial Intelligence is precicely that: Artificial. It’s really only a mask hiding the fact that real people are providing input to train a recursive algorithm to favor one outcome over another. It’s just people saying, “Not thus, but thus.”

Bob S
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