"Tokenmaxxing" framed as returning on compounding-correctness economics

Category: Agentic coding
Status: discussion
Sources: author post, discussion
Summary: A 2026-06-27 post argues that early "tokenmaxxing," pushing heavy token spend to drive AI-tool adoption, is being replaced by an economic case the author calls "compounding correctness," where spending more tokens on a task tends to yield better outcomes rather than accumulating errors. The claim is an opinion piece with no measured setup or benchmark.
Why it matters: It captures the practitioner argument behind rising per-task token budgets in agent harnesses, relevant to coding-agent cost models.