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AI coding tools have come a long way. I use them daily and they've made me more productive.
But a lot of us don't work on new repos. We work on codebases that have been around for years. Functions 3000+ lines long. Code from 2015 still running in production.
When you point AI at that kind of code, it struggles. The context fills up. It loses the bigger picture. Suggests a fix that works in isolation but breaks something three files away.
The tools work great on fresh projects. On older codebases, the experience is very different.
The context memory problem? Nobody has solved it yet. Once the conversation gets long, the AI loses track. Basically type and hope.
If you're on legacy code and AI isn't the magic wand it seems in demos you're not doing it wrong.
What's your experience using AI on older codebases?
The network for creativity
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Here is the Live Link: Inner Designer
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Check it out
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