This article explains how inline assembly semantics fit into the Rust Abstract Machine by proposing a "storytelling" approach: every inline assembly block must have a corresponding Rust code equivalent that describes its observable behavior, allowing the compiler to reason about soundness and apply optimizations correctly. The author demonstrates why inline assembly cannot arbitrarily violate Abstract Machine constraints like aliasing rules, even though assembly itself doesn't have these concepts.
Article demonstrates how formal verification can detect subtle bugs in code that pass testing and code review, using a banking application example with three classes of defects: fee calculation errors violating invariants, money conservation violations in transfers, and integer overflow edge cases that break properties for all possible inputs.
This article explores how dependent type systems in Lean 4 can serve as executable specifications, allowing AI-generated code to be verified as correct by the compiler rather than through traditional testing. The author demonstrates this with a worked example of AI-generated sorting implementations where the type signature itself encodes the correctness proof.