Topic

LLM Context and Token Cost

The cost and accuracy consequences of how much context is sent to a language model per request, and the techniques used to keep that context small and relevant.

Current clusters

build1 publisher

A PM spent thirty minutes debugging a table ChatGPT invented for him

A dev.to post's case for harness engineering rests on one PM's half hour and one investigation where directed context cut a task from about 50k tokens to 15k, a figure the author himself calls an observation.

Publishers:dev.to

Reality

Evidence28
Adoption22
Hype gap+15
Incentives35
Confidence45