Author proposes trustworthy agent eval methods

The author argues that building a trustworthy coding agent evaluation requires sealing the environment, auditing tool call traces for reward hacking, running every task at least five times to expose variance, using a statistical noise band to distinguish real score changes from luck, and validating LLM judges against human labels. Open article →