The Context Illusion: Why LLMs Don't Know Your Code Like You Think They Do

AI coding assistants excel at code prediction and completion but lack full project context awareness. Their limited view of codebases can lead to issues like using outdated patterns or misinterpreting architectural choices. This context gap may slow development, increase technical debt, and complicate onboarding. To mitigate these problems, teams should document key decisions, properly configure tools, and regularly communicate updates. Providing comprehensive context to AI assistants is essential for their effective use in software development.