AI

Why Context Matters More Than You Think Imagine you just joined a new team. It is your first day. A colleague walks up and says “Can you fix the authentication bug in the user service?” You have no idea where the user service lives, what language the project uses, whether there is a test suite, or what the team’s coding style looks like. You could ask a dozen follow-up questions or worse, you could guess and get it wrong.

Language models on their own are powerful, but limited. They can only work with text that is directly provided to them and respond with text in return. They cannot open files, browse a codebase, or run commands on a system. If you ask a standalone language model to read a file or execute code, it will state that it does not have that capability. In essence, a language model is intelligent, but isolated from the real working environment of a developer.