Compound engineering flips this on its head. Instead of features adding complexity and fragility, they teach the system new capabilities. Bug fixes eliminate entire categories of future bugs. When they are codified, patterns become tools for future work. Over time, the codebase becomes easier to understand, easier to modify, and easier to trust.
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An AI tool that simply delivers answers can allow students to skip thinking through a problem. One study found that when college students rely on a chatbot as a crutch, they perform worse when they no longer have access to it. A tool that asks questions requires students to do the work themselves, even while receiving guidance. This is the very process that makes learning stick.
OpenAI’s Codex CLI takes a similar approach with explicit modes: read-only, workspace-write (the default), and danger-full-access. Network access is disabled by default. Claude Code and Gemini CLI both support sandboxing but ship with it off by default.