Code Is Not The Source Of Truth
An urgent rethink of how we treat code as truth is long overdue. This smart essay shows why brittle assumptions in code can block insight, and why designers must act. It explains the rising risks created by AI systems that rely on code dumps, and the loss of context. Readable examples clear a path toward shared truths, and practical patterns for teams to preserve knowledge across boundaries. If you design, build, or steward product systems, this piece should change how you document decisions and flows. It makes collaboration safer, and futures easier to navigate.
The author argues for distributed sources of truth, not a single code base. He outlines tactics to capture intent and human reasoning alongside runnable artifacts. These approaches reduce surprise during iteration, and keep teams aligned when AI generates unexpected outputs. I recommend this article to product leaders, engineers, and researchers who care about durable design. It will change your checklist for handoffs, governance, and the way you write living documents. Read it, then ask whether your code alone can stand for the full product story. Start building shared records that survive churn and surprises.
Source: uxdesign.cc
