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Nvidia's SoL-Pi system cuts coding agent token usage nearly in half by optimizing the harness

Image: The Decoder

Nvidia's SoL-Pi system reduces token usage for coding agents by up to 49 percent by optimizing the control layer between models and their environment. The optimization was developed through a research agent testing over 3,000 runs, though gains vary on other benchmarks.

Why it matters

More efficient coding agents mean faster execution and lower costs for developers using AI to write and debug code.

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