🔗 Draw the rest of the ___ owl (software factory edition)

How can a software development team trust the code generated by LLMs without reviewing it? This article dives into the challenges teams face as they navigate using LLMs like OpenCode and Claude Code, which may diminish the role of human oversight in coding. It emphasizes the importance of verification, suggesting that simply providing context isn't enough to ensure reliable software factories. The author proposes that automated tests written by LLMs must be validated, advocating for a system of "sensors" to monitor application behavior, code quality, and architectural integrity. Additionally, tools like Gherkin scenarios, boundary libraries for Elixir, and static analysis are discussed as potential solutions for maintaining software health. Ultimately, the need for comprehensive feedback mechanisms is highlighted to create a sustainable workflow, whether or not teams fully adopt a software factory model.