AIHacker Newsabout 3 hours ago
AI changes the economics of software rewrites
1 min read
AI output quality depends on training data and context, not just prompts. Popular tech stacks benefit from millions of examples in training data. Proprietary languages and private frameworks require teaching within limited context windows, increasing tokens, prompting, variance, and cost. Rewriting codebases around clear, consistent patterns lets AI solve problems instead of learning custom languages first.
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