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Paul Gauthier 2023-05-22 15:53:51 -07:00
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# Improving GPT-4's codebase understanding with ctags
While GPT-4 excels at coding tasks, it struggles with modifying
code in larger code bases.
Many common
types of code changes require knowledge and context from multiple files
scattered throughout a large repo.
This is a challenge for GPT-4, which can only fit 8k-tokens
worth of code in its context window.
GPT-4 is extremely useful for "self-contained" coding tasks,
like generating new code or modifying a pure function without dependencies.
But it's difficult to use GPT-4 to modify code with dependencies
that are scattered across many files of a codebase.
To modify such code, GPT needs to see all of these dependencies.
And depending on the assigned coding task, it may not be obvious
how to even determine which parts of the repo are relevent a priori.
Further, all of this context needs to fit within GPT-4's 8k-token
context window.
To address this issue, `aider` has
a new experimental feature that utilizes `ctags` to provide