- Score 84
- Official
Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis
arXiv:2610.37830v1 Announce Type: new Abstract: AI agents can now write software from a plain-English description, but code that runs is not the same as code that does what was asked. This gap matters most for smart contracts, the programs behind Web3 applications that move money on a blockchain and cannot be fixed once deployed. We ask how to check whether an AI-written contract behaves as it sho
So what
What this event means by reading role—not a longer recap.
- BuilderAdd a pre-generation requirements checklist and an independently written executable answer key to your agent pipeline; the paper finds elicitation beats review
- ResearcherProvides an execution-replay benchmark of 600 tasks showing common AI judges miss planted mistakes and that scoring choices materially change pipeline rankings.
Score dimensions
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