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Topic

LLM reasoning effort settings

User-selectable controls on how much computation and self-checking a language model spends on a task, trading token cost and time against result quality.

Current clusters

build1 publisher

Shihipar's runs show Claude Code's effort level mostly buys self-testing

Thariq Shihipar's runs show Claude Code at max effort cut missed edge cases from 59 to 24, yet misread unclear tasks 47 times against 25 at low. At about triple the tokens per attempt, a high default pays for self-checking that only some kinds of work turn into passes.

Publishers:dev.to

Reality

Evidence40
Adoption
Insufficient
Hype gap+10
Incentives
Insufficient
Confidence35