Turning a Generic LLM Into a Ruby-LibGD Expert (One Correction at a Time)
June 2, 2026
What a day of conversations taught me about context, memory, and the limits of local AI models.
A few days ago, I started what seemed like a simple experiment.
I wanted a local LLM to help me work on a Ruby gem I’ve been developing: Ruby-LibGD , a Ruby binding for the GD Graphics Library.
The goal wasn’t complicated. I wanted the model to help me create examples, improve documentation, generate tutorials, and eventually contribute code.
What followed became an accidental study of how modern LLMs learn—or more accurately, how they appear to learn.
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Turning a Generic LLM Into a Ruby-LibGD Expert (One Correction at a Time) – Linking Ruby knowledge from the most remote places in the world.
Turning a Generic LLM Into a Ruby-LibGD Expert (One Correction at a Time) June 2, 2026 What a day of conversations taught me about context, memory, and the limits of local AI models. A few days ago…
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