Why Does AI Code Test Coverage Hide Untested Paths?

AI tools now write the code and the tests together, and coverage numbers have climbed to levels that once took a team months to reach. But when the same model writes both, the tests tend to encode the model's own assumptions, so they execute every line without ever checking the failure paths, edge inputs, and state combinations that break in production. This episode explains why high coverage on AI-written code is now a weaker signal than it used to be, and what builders should measure in its place. This channel is part of a broader idea: experienced professionals now have an opportunity to build the tools their industries actually need. AI is lowering the barrier to development, which means domain expertise has become a powerful advantage. If you have deep knowledge in a field — manufacturing, finance, healthcare, logistics, insurance, or anything else — AI can help you turn that knowledge into working systems. 𝐆𝐨𝐥𝐝𝐞𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐀𝐜𝐚𝐝𝐞𝐦𝐲 is a new community exploring that idea together. Here we discuss the process discussed in 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐂𝐥𝐚𝐮𝐝𝐢𝐧𝐞. Join the community: https://www.skool.com/golden-architec... Learn more: https://aijoe.ai/course At aijoe.ai, we build AI-powered systems like the ones discussed in this series. If you're ready to turn an idea into a working application, we'd be glad to help. #ArtificialIntelligence #SoftwareArchitecture #AIEngineering #AIForBusiness