博客來Most production bugs aren’t coding errors. They are semantic misunderstandings.
You implemented the ticket exactly as written. The tests passed. But at 3:00 AM, the system crashed because ＂immediately＂ meant ＂within 500ms＂ to the user, but ＂eventually＂ to your database.
We are entering the Natural Language Era, where ambiguous specs meet non-deterministic LLMs. The old way of ＂move fast and break things＂ is no longer a growth strategy; it’s a liability.
Correctness by Meaning is not a textbook on obscure math. It is a field guide for engineers who are tired of being paged. It bridges the gap between high-level human intent and low-level system behavior using accessible formal methods.
You will learn how to:
Eliminate Ambiguity: Use Controlled Natural Language (CNL) to write requirements that compile into tests.
Stop Configuration Drift: Treat feature flags as propositional logic (SAT) to prevent impossible states.
Verify Distributed Systems: Replace ＂it usually works＂ with temporal logic to guarantee safety in workflows and APIs.
Tame LLMs: Treat prompts as executable code with strict invariants, preventing hallucinations and security leaks before they happen.
Build the Spec Compiler: A practical blueprint for turning text requirements into enforceable system checks.
Stop writing code that ＂looks right.＂ Start building systems that are correct by meaning.
