Radar / AI coding tools / caveman

caveman — viral skill + proxy that cuts coding-agent tokens by 65%

A viral skill and proxy for coding agents that rewrites prompts into terse 'caveman' English, claiming to cut token usage by ~65% without touching model weights.

trendingcoding · gatewayJuliusBrussee/caveman · 112,103 ★added 2026-10-15
Open caveman →View on the radar

Why it matters

Token-cost compression at the prompt layer: a rewriting proxy that talks like a caveman so agents spend far fewer tokens on routine exchanges — a spend hack, not a new model.

What you could build with it

A startup running high-volume coding agents could put the caveman proxy between its agents and the model API, cutting inference spend on verbose reasoning loops while watching task success rates in A/B tests.

Does it hold up?

Too early to judge: viral traction but no independent measurements of the 65% claim found yet. Token savings will depend heavily on task mix, so measure before deploying in production agent loops.

Built with caveman

Learn more

official docs →

First spotted on github: source.

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