Ask HN: How will LLMs work on an entire codebase?

Like many of you I use ChatGPT for specific questions, completing a function from comments, etc. But I'm reading that LLMs will soon become actual developers.

How can that be? Let's forget about quality, hallucinations, etc. The largest context window from an accessible/affordable LLM is 32k (Mixtral or GPT4). That's barely enough for a TODO app, let alone a real project. The smallest project I work on, a desktop app, has 60k LOC/6M characters/1.5M tokens.

So what changes are coming that would allow an LLM modify an existing codebase, e.g. to modify a feature and write its tests? (without having to spoonfeed it the perfect context the way we do now in ChatGPT)