Empirical study · 2026
Prompts as Lossy Compression
A controlled empirical study treating a natural-language prompt as a compressed representation of software and an LLM agent as the decompressor — measuring the trade-off between prompt size and reconstruction fidelity across projects of increasing novelty.
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