Overview

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.

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