Runtime Vеrification(@rv_inc):How do you turn a one-off formal verification effort into something that keeps paying off? For @Optimism, one hand-written Dafny model we wrote became three things: - a proof of what "correct" means for cross-chain message validation - ground truth for AI agents checking the Go code, function by function - a fuzzer where every failure is a violation of a proven property Along the way it caught a cold-start rewind bug that could silently erase backfilled blocks, which Optimism has since remediated. The technical breakdown, from Dafny invariants to the fuzzing harness, below 👇

Runtime Vеrification

@rv_inc

We apply formal methods to improve the safety, reliability, and correctness of computing systems for auto, space, and blockchain.

参加 October 2017

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Runtime Vеrification@rv_inc

2026.10.20 14:12

How do you turn a one-off formal verification effort into something that keeps paying off? For @Optimism, one hand-written Dafny model we wrote became three things: - a proof of what "correct" means for cross-chain message validation - ground truth for AI agents checking the Go code, function by function - a fuzzer where every failure is a violation of a proven property Along the way it caught a cold-start rewind bug that could silently erase backfilled blocks, which Optimism has since remediated. The technical breakdown, from Dafny invariants to the fuzzing harness, below 👇